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03 December 2023
1:19
Sean Gillies: 2024 Bear 100 registration
sur Planet OSGeo

In my previous post I said that I was going to register for the 2024 Bear 100 and I did. I was logged into UltraSignup promptly at 8 am on Friday and am glad, because this race apparently filled up within the day. 2024, let's fucking go!

Brunch at Upper Richards Hollow, 2023-09-29
02 December 2023
16:54
From GIS to Remote Sensing: Tutorial: Random Forest Classification Using Remotior Sensus
sur Planet OSGeo
This is a tutorial about Remotior Sensus, a Python package that allows for the processing of remote sensing images and GIS data.In the last few months Remotior Sensus was frequently update to fix and integrate new functions, in particular for the integration with the Semi-Automatic Classification Plugin for QGIS.
In this tutorial we are going to use Remotior Sensus to perform the Random Forest classification of a Copernicus Sentinel-2 image, which involves the following main steps:
1. Create a BandSet using an image
2. Load a training input
3. Perform the random forest classification
Read more »

12:44

QGIS Blog: Plugin Update Sept-Nov 2023

sur Planet OSGeo

This autumn, from September to November, 84 new plugins have been published in the QGIS plugin repository.

Here’s the quick overview in reverse chronological order. If any of the names or short descriptions piques your interest, you can find the direct link to the plugin page in the table below:

SOSIexpressions

Expressions related to SOSI-data

Puentes

Run external Python files inside QGIS.

UA CRS Magic

?????? ??????? ???????? ??? ?????????? ????

FilterMate

FilterMate is a Qgis plugin, a daily companion that allows you to easily explore, filter and export vector data

QWC2_Tools

QGIS plug-in designed to publish and manage the publication of projects in a QWC2 instance. The plugin allows you to publish projects, delete projects and view the list of published projects.

QGIS Fast Grid Inspection (FGI)

This plugin aims to allow the generation and classification of samples from predefined regions.

QDuckDB

This plugin adds a new data prodivder that can read DuckDB databases and display their tables as a layer in QGIS.

CIGeoE Toggle Label Visibility

Toggle label visibility

CIGeoE Merge Areas

Centro de Informação Geoespacial do Exército

Drainage

the hydro DEM analysis with the TauDEM

Postcode Finder

The plugin prompts the user to select the LLPG data layer from the Layers Panel and enter a postcode. The plugin will search for the postcode, if found, the canvas will zoom to all the LLPG points in the postcode.

Multi Union

This plugin runs the UNION MULTIPLE tool, allowing you to use up to 6 polygon vector layers simultaneously.

FLO-2D MapCrafter

This plugin creates maps from FLO-2D output files.

Download raster GEE

download_raster_gee

GisCarta

Manage your GisCarta data

TENGUNGUN

To list up and download point cloud data such as “VIRTUAL SHIZUOKA”

LADM COL UV

Plugin de Qgis para la evaluación de calidad en el proceso de captura y mantenimiento de datos conformes con el modelo LADM-COL

ohsomeTools

ohsome API, spatial and temporal OSM requests for QGIS

Social Burden Calculator

This plugin calculates social burden

Show Random Changelog Entry on Launch

Shows a random entry in the QGIS version’s visual changelog upon QGIS launch

Fotowoltaika LP

Wyznaczanie lokalizacji pod farmy fotowoltaiczne LP

KICa – KAN Imagery Catalog

KICa, is QGIS plugin Kan Imagery Catalog, developed by Kan Territory & IT to consult availability of images in an area in an agnostic way, having as main objective to solve the need and not to focus on suppliers. In the beginning, satellite imagery providers (free and commercial) are incorporated, but it is planned to incorporate drone imagery among others.

Risk Assessment

Risk assessment calculation for forecast based financing

ViewDrone

A QGIS plugin for viewshed analysis in drone mission planning

qgis2opengis

Make Lite version of OpenGIS – open source webgis

Quick Shape Update

Automatic update of the shapes length and/or area in the selected layer

CoolParksTool

This plugin evaluates the cooling effect of a park and its impact on buildings energy and thermal comfort

Nahlížení do KN

Unofficial integration for Nahlížení do Katastru nemovitostí.

PyGeoRS

PyGeoRS is a dynamic QGIS plugin designed to streamline and enhance your remote sensing workflow within the QGIS environment.

D4C Plugin

This plugin allows the manbipulation from QGis of Data4Citizen datasets (Open Data platform based on Drupal and CKan)

Avenza Maps’s KML/KMZ File Importer

This plugin import features from KML e KMZ files from Avenza Maps

Histogram Matching

Image histogram matching process

PV Prospector

Displays the PV installation potential for residential properties. The pv_area layer is derived from 1m LIDAR DSM, OSMM building outlines and LLPG data.

Save Attributes (Processing)

This plugin adds an algorithm to save attributes of selected layer as a CSV file

Artificial Intelligence Forecasting Remote Sensing

This plugin allows time series forecasting using deep learning models.

Salvar Pontos TXT

Esse plugin salvar camada de pontos em arquivo TXT

QGIS to Illustrator with PlugX

The plugin to convert QGIS maps to import from Illustrator. With PlugiX-QGIS, you can transfer maps designed in QGIS to Illustrator!

QCrocoFlow

A QGIS plugin to manage CROCO projectsqcrocoflow

Soft Queries

This plugin brings tools that allow processing of data using fuzzy set theory and possibility theory.

TerrainZones

This Plugin Identifies & Creates Sub-Irrigation Zones

Consolidate Networks

Consolidate Networks is a a Qgis plugin bringing together a set of tools to consolidate your network data.

AWD

Automatic waterfalls detector

SAGis XPlanung

Plugin zur XPlanung-konformen Erfassung und Verwaltung von Bauleitplänen

Monitask

a SAM (facebook segment anything model and its decendants) based geographic information extraction tool just by interactive click on remote sensing image, as well as an efficient geospatial labeling tool.

PLATEAU QGIS Plugin

Import the PLATEAU 3D City Models (CityGML) used in Japan — PLATEAU 3D??????CityGML?????QGIS???????

FLO-2D Rasterizor

A plugin to rasterize general FLO-2D output files.

Geoportal Lokalizator

PL: Wtyczka otwiera rz?dowy geoportal w tej samej lokacji w której u?ytkownik ma otwarty canvas QGIS-a. EN: The plugin opens the government geoportal in the same location where the user has the QGIS canvas open (Poland only).

BorderFocus

clicks on the edge center them on the canvas

LANDFILL SITE SELECTION

Bearing & Distance

This plugin contains tools for the calculation of bearing and distances for both single and multiple parcels.

Moisture and Water Index 2.0

Este complemento calcula el índice NDWI con las imágenes del Landsat 8.

K-L8Slice

Este nombre combina el algoritmo k-means que se utiliza para el agrupamiento (K) con “Landsat 8”, que es el tipo específico de imágenes satelitales utilizadas, y “Slicer”, que hace referencia al proceso de segmentación o corte de la imagen en diferentes clusters o grupos de uso del suelo.

EcoVisioL8

Este complemento fue diseñado para automatizar y optimizar la obtención de índices SAVI, NDVI y SIPI, así como la realización de correcciones atmosféricas en imágenes Landsat 8.

QGIS Animation Workbench

A plugin to let you build animations in QGIS

Catastro con Historia

Herramienta para visualizar el WMS de Catastro en pantalla partida con historia.

RechercheCommune

Déplace la vue sur l’emprise de la commune choisie.

Sentinel2 SoloBand

Sentinel2 SoloBand is a plugin for easily searching for individual bands in Sentinel-2 imagery.

CIGeoE Right Angled Symbol Rotation

Right Angled Symbol Rotation

CIGeoE Node Tool

Tool to perform operations over nodes of a selected feature, not provided by similar tools and plugins.

Spatial Distribution Pattern

This plugin estimates the Spatial Distribution Pattern of point and linear features.

Webmap Utilities

This plugin provides tools for clustered and hierarchical visualization of vector layers, creation of Relief Shading and management of scales using zoom levels.

Simstock QGIS

Allows urban building energy models to be created and simulated within QGIS

Fast Point Inspection

Fast Point Inspection is a QGIS plugin that streamlines the process of classifying point geometries in a layer.

Layer Grid View

The Layer Grid Plugin provides an intuitive dockable widget that presents a grid of map canvases.

Kadastr.Live Toolbar

????? ??????? ?? ????? Kadastr.Live ?? ??????????? ???????.

S+HydPower

Plugin designed to estimate hydropower generation.

QollabEO

Collaborative functions for interaction with remote users.

digitizer

NetADS

NetADS est un logiciel web destiné à l’instruction dématérialisée des dossiers d’urbanisme.

Runoff Model: RORB

Build a RORB control vector from a catchment

FlexGIS

Manage your FlexGIS data

LXExportDistrict

Export administrative district

PostGIS Toolbox

Plugin for QGIS implementing selected PostGIS functions

Chasse – Gestion des lots

Fonctions permettant de définir la surface cadastrale des lots de chasse et d’extraire la liste des parcelles concernées par chaque lot de chasse, sous forme de fichier Excel®.

Time Editor

Used to facilitate the editing of features with lifespan information

RST

This plugin computes biophysical indices

Japanese Grid Mesh

Create common grid squares used in Japan. ???????????????????????????????????????????????????????????????????CSV????????????????????????????????????????

Panoramax

Upload, load and display your immersive views hosted on a Panoramax instance.

StereoPhoto

Permet la visualisation d’images avec un système stéréoscopique

CIGeoE Merge Multiple Lines

Merge multiple lines by coincident vertices and with the same attribute names and values.

CIGeoE Merge Lines

Merge 2 lines that overlap (connected in a vertex) and have same attribute names and values.

Nimbo’s Earth Basemaps

Nimbo’s Earth Basemaps is an innovative Earth observation service providing cloud-free, homogenous mosaics of the world’s entire landmass as captured by satellite imagery, updated every month.

OpenHLZ

An Open-source HLZ Identification Processing Plugin

Selection as Filter

This plugin makes filter for the selected features

01 December 2023
13:05
Mises à jour décembre 2023
sur Toute l’actualité des Geoservices de l'IGN

Tous les nouveaux services web géoservices et toutes les mises à jour de données en téléchargement du mois de décembre 2023.

30 November 2023
19:39
How OGC Contributes to FAIR Geospatial Data
sur Open Geospatial Consortium (OGC)

Standards are a key element of the FAIR Principles of Findability, Accessibility, Interoperability, and Reusability. As such, the Open Geospatial Consortium (OGC) has been supporting the FAIR Principles for geospatial information since its formation 30 years ago.

Following the more recent codification of the FAIR principles, the growing recognition of their potential to improve data production, storage, exchange, and processing is seeing them being used to support and enhance recent technological developments such as artificial intelligence, crowdsourcing, data spaces, digital twins, cloud computing, and beyond. This blog post, therefore, offers an overview of select OGC standards and components that support FAIRness in geospatial data.

Within the whole OGC Standards suite, we can broadly distinguish two types of Standards: data format and transfer standards that facilitate data exchange between systems; and semantic interoperability standards that support a common understanding of the meaning of data. For example, OGC Standards that define interoperable geometrical information formats, such as 3D Tiles, GML, GeoPackage, GeoTiff, or KML, support FAIRness by facilitating data Access and Reuse.
Communication Standards
Starting with OGC Web Map Service (WMS) 1.0 in 2000, the suite of OGC Web Services Standards grew to become OGC’s most popular and successful suite of Standards. Services that implement OGC Web Services Standards give access to different kinds of data through the web. Most OGC Web Services provide instructions on how to post a message or build a query URL that gives access to the data behind the service. The URL contains an action to perform and parameters to modify the action and specify the form of the result.

While perfectly functional, the OGC Web Services Standards do not completely follow modern practices on the Web. In particular they do not focus on resources but on operations. To correct that issue, the OGC is evolving the OGC Web Services into the OGC APIs – open web APIs that define resources and use HTTP methods to retrieve them. OGC APIs have diverse functionalities, as explained below.
Communication Standards for Finding Data
The Catalog Service for the Web (CSW) is an OGC Web Service that provides the capacity to query a collection of metadata and find the data or the services that the user requires. Deploying a CSW (e.g. a GeoNetwork instance) is a way to comply with the FAIR sub-principle “F4. (Meta)data are registered or indexed in a searchable resource.” CSW is compatible with Dublin Core and ISO 19115 metadata documents. An interesting characteristic of the GeoNetwork is its capability to store attachments to the metadata. This provides a way to store the actual data as an attachment and link it to the distribution section of an ISO 19115. This ensures not only Findability of the metadata but also Findability of the data. In the Open Earth Monitor (OEMC) project, CSW can be effectively used to store metadata about the in-situ data and some of the results of the pilots, making them Findable on the web. The original Remote Sensing data is offered through a SpatioTemporal Asset Catalog (STAC).

The OGC API – Records Standard is an alternative to CSW that uses the aforementioned resource-oriented architecture. It gives a URL to each and every metadata/data record stored in the catalog, making it compliant with the FAIR sub-principle “F1. (Meta)data are assigned a globally unique and persistent identifier.” The OGC API – Records Standard is still in its draft phase and the authors are making efforts to exploit STAC good practices and make the two compatible.

For flexibility, in the CSW and OGC API – Records Standards, a metadata record is not obligatory, though it is desirable in many cases. This is useful for improved findability, but also for preservation purposes when the dataset may no longer be available. This ensures compatibility with the FAIR sub-principle “A2. Metadata are accessible, even when the data are no longer available.”
Communication Standards for Accessing Data
The OGC Web Feature Service (WFS) and the Web Coverage Service (WCS) give access to feature or coverage data independently of the data’s data model or schema. Implementations of these services are based on Open Standards that can be implemented for free. This complies with the FAIR sub-principle “A1.1 The protocol is open, free, and universally implementable.” It is possible to get the whole resource or a subset of it based on spatial or thematic queries. However, these services are based on a service-oriented architecture and do not necessarily provide a URI for each resource.

The newer OGC API – Features and OGC API – Coverages Standards, though, provide similar functionality with a resource-oriented architecture. They provide a URI for each resource they expose. This makes the OGC API Standards, as well as the SensorThings API, compliant to the FAIR sub-principle “A1. (Meta)data are retrievable by their identifier using a standardized communications protocol.” OGC Web Services and OGC APIs both use the HTTP protocol over the Internet and can make use of the current standards and practices for authentication and authorization, such as OpenID Connect.

However, the resource-oriented architecture of the OGC API Standards means they are better positioned to adopt best practices for authentication and authorization. In this paradigm, authorization on geospatial resources can be fine-tuned for each resource URI in the same way as any other resource on the Web. As such, OGC API – Features, OGC API – Coverages, and The Sensor Things API comply with the FAIR sub-principle “A1.2 The protocol allows for an authentication and authorization procedure, where necessary.”
Semantic Interoperability Standards The OGC RAINBOW
To better support the “Interoperable” FAIR principle as it applies semantic interoperability, OGC is implementing the OGC RAINBOW (formerly the OGC Definitions Server) as a Web accessible source of information about concepts and vocabularies that OGC defines or that communities ask the OGC to host on their behalf. It applies FAIR principles to the key concepts that underpin interoperability in systems using OGC specifications.

The OGC Registry for Accessible Identifiers of Names and Basic Ontologies for the Web (RAINBOW) is a linked-data server, published and maintained by OGC, used to manage and publish reference vocabularies, standard definitions with profiles, ontologies, and resources. It is intended to be a node in an interoperable ecosystem of resources published by different communities. It supports a wide spectrum of resources and allows more value to be realized from data. It can be accessed at opengis.net/def.

OGC RAINBOW is implemented using Linked Data principles that provide enhanced findability, making it compliant with the FAIR sub-principles “F1. (Meta)data are assigned a globally unique and persistent identifier” and “F4: (Meta)data are registered or indexed in a searchable resource.” It is accessed using the HTTP protocols over the Internet, so is also compliant with “A1. (Meta)data are retrievable by their identifier using a standardised communication protocol” and “A1.1 The protocol is open, free, and universally implementable.”

The set of concepts stored in the RAINBOW or in other vocabularies can be used by data and metadata to comply with the FAIR sub-principles “I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation” and “I2. (Meta)data use vocabularies that follow FAIR principles.”
The OGC SensorThings API
The OGC SensorThings API is an open and free standard that complies to the FAIR sub-principle “A1.1 The protocol is open, free, and universally implementable.” It incorporates a data model that includes two properties that allow for linking to URLs for “units of measurement” and “observed properties” (e.g. references to variable definitions) that makes it compliant with the FAIR sub-principle “I2. (Meta)data use vocabularies that follow FAIR principles.” However, other services and APIs, such as OGC API – Features and OGC API – Coverages, do not specify how this could be done in practice, so more work needs to be done in that respect.

On the other hand, the new OGC APIs use link mechanisms to connect datasets, resources, and resource collections to other resources for different purposes, making them compliant with the FAIR sub-principle “I3 (Meta)data include qualified references to other (meta)data.”

Similarly, the new OGC SensorThings API plus (STAplus) Standard includes an additional element called “Relation” that allows for relating an observation to other internal or external observations. It also adds an element called “License” associated with the datastream or observation group that complies with the FAIR sub-principle “R1.1. (Meta)data are released with a clear and accessible data usage license.” Further, the STA data model can be extended to domain-specific areas by subclassing some of the entities, such as “Thing” and “Observation,” allowing it to meet the FAIR sub-principle “R1.3. (Meta)data meet domain-relevant community standards.”

STAplus includes many considerations for secure operations and can support authentication and authorization through the implementation of business logic, making it compliant with the FAIR sub-principle “A1.2. The protocol allows for an authentication and authorization procedure where necessary.”
Other Standard Thematic Data Models
OGC also offers Standards that define thematic data models and knowledge representations. For example, WaterML is an information model for the representation of water observations data. In addition, PipelineML defines concepts supporting the interoperable interchange of data pertaining to oil and gas pipeline systems. The PipelineML Core addresses two critical business use-cases that are specific to the pipeline industry: new construction surveys and pipeline rehabilitation.

Another example is the Land and Infrastructure Conceptual Model (LandInfra) for land and civil engineering infrastructure facilities. Subject areas include facilities, projects, alignment, road, railway, survey, land features, land division, and “wet” infrastructure (storm drainage, wastewater, and water distribution systems). CityGML is intended to represent city objects in 3D city models. The (upcoming) Model for Underground Data Definition and Integration (MUDDI) represents information about underground utilities. IndoorGML offers a data model to represent indoor building features. Finally, GeoSciML is a model of geological features commonly described and portrayed in geological maps, cross sections, geological reports and databases. This standard describes a logical model for the exchange of geological map data, geological time scales, boreholes, and metadata for laboratory analyses.

The existence of these Standards can help each thematic sector to comply with the FAIR Interoperability sub-principle “I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.” As well as these standards, connecting their vocabularies to information systems or databases would significantly increase their usefulness and encourage the principle of Reusability “R1.(Meta)data are richly described with a plurality of accurate and relevant attributes” and sub-principle “R1.3 (Meta)data meet domain-relevant community standards.”
FAIR in Everything We Do
OGC’s Mission, to “Make location information Findable, Accessible, Interoperable, and Reusable (FAIR),” places the FAIR Principles at the heart of everything we do. This post has shown how OGC Standards explicitly address the FAIR Principles to contribute to FAIR geospatial data.

The Standards shown here were chosen due to their popularity and utility, but represent only a small portion of what’s available from OGC. You can see the full suite of OGC Standards at ogc.org/standards.

For more detailed information on OGC API Standards, including developer resources, news of upcoming code sprints, or to learn how the family of OGC API Standards work together to provide modular “building blocks for location” that address both simple and the most complex use-cases, visit ogcapi.org.

The post How OGC Contributes to FAIR Geospatial Data appeared first on Open Geospatial Consortium.

2:00
GeoServer Team: GeoServer installation methods on Windows
sur Planet OSGeo
GeoSpatial Techno is a startup focused on geospatial information that is providing e-learning courses to enhance the knowledge of geospatial information users, students, and other startups. The main approach of this startup is providing quality, valid specialized training in the field of geospatial information.

( YouTube | LinkedIn | Facebook | Reddit | X )
GeoServer installation methods: “Windows Installer” and “Web Archive”
GeoServer installation methods: “Windows Installer” and “Web Archive” In this session, we will talk about how to install GeoServer software by two common methods in Windows. If you want to access the complete tutorial, simply click on the link.

Introduction
GeoServer can be installed on different operating systems, since it’s a Java based application. You can run it on any kind of operating system for which exists a Java virtual machine. GeoServer’s speed depends a lot on the chosen Java Runtime Environment (JRE). The latest versions of GeoServer are tested with both OracleJRE and OpenJDK. These versions are:
- Java 17 for GeoServer 2.23 and above
- Java 11 for GeoServer 2.15 and above
- Java 8 for GeoServer 2.9 to GeoServer 2.22
- Java 7 for GeoServer 2.6 to GeoServer 2.8
- Java 6 for GeoServer 2.3 to GeoServer 2.5
- Java 5 for GeoServer 2.2 and earlier
But remember that the older versions are unsupported and won’t receive fixes nor security updates, and contain well-known security vulnerabilities that have not been patched, so use at own risk. That is true for both GeoServer and Java itself.

There are many ways to install GeoServer on your system. This tutorial will cover the two most commonly used installation methods on Windows.
- Windows Installer
- Web Archive
Windows installer
The Windows installer provides an easy way to set up GeoServer on your system, as it requires no configuration files to be edited or command line settings.
Installation
- GeoServer requires a Java environment (JRE) to be installed on your system, available from Adoptium for Windows Installer, or provided by your OS distribution. For more information, please refer to this link: [https:]
Consider the operating system architecture and memory requirements when selecting a JRE installer. 32-bit Java version is restricted to 2 GB memory, while the 64-bit version is recommended for optimal server memory. Utilizing JAI with the 32-bit JRE can enhance performance for WMS output generation and raster operations.
- Install JRE by following the default settings and successfully complete the installation.
- Navigate to the GeoServer.org and download the desired version of GeoServer.
- Launch the GeoServer installer and agree to the license.
- Enter the path to the JRE installation and proceed with the installation. The installer will attempt to automatically populate this box with a JRE if it is found, but otherwise you will have to enter this path manually.
- Provide necessary details like the GeoServer data directory, administration credentials, and port configuration.
- Review the selections, install GeoServer, and start it either manually or as a service.
- Finally, navigate to localhost:8080/geoserver (or wherever you installed GeoServer) to access the GeoServer Web administration interface.
Uninstallation
GeoServer can be uninstalled in two ways:
- By running the uninstall.exe file in the directory where GeoServer was installed
- By standard Windows program removal
Web Archive
GeoServer is packaged as a web-archive (WAR) for use with an application server such as Apache Tomcat or Jetty. It has been mostly tested using Tomcat, and so is the recommended application server. There are reasons for installing it such as it is widely used, well-documented, and relatively simple to configure. GeoServer requires a newer version of Tomcat (7.0.65 or later) that implements Servlet 3 and annotation processing. Other application servers have been known to work, but are not guaranteed.
Installation
- Make sure you have a JRE installed on your system, then download Apache Tomcat from its website [https:] For the Windows installation package, scroll down and choose the 32bit/64bit Windows Service Installer option.
- Configure Tomcat by selecting components, setting up a username and password, and specifying memory settings. So, before start the Tomcat service, you have to configure the memory settings that will use for Java VM. To do it, open the Tomcat9w from the bin folder, then click on the Java tab. This tab allows for configuration of memory settings, including initial and maximum memory pool sizes. Recommended values are 512MB for the initial memory pool and 1024MB for the maximum memory pool.
- Start Tomcat service and verify its functionality, then navigate to localhost:8080, and get the Tomcat9 web page.
- Navigate to the GeoServer.org and Download page. Select Web Archive on the download page from the version of GeoServer that you wish to download.
- Deploy the GeoServer web archive as you would normally. Often, all that is necessary is to copy the GeoServer.war file to the Tomcat’s webapps directory, then the application will be deployed automatically.
- Now to access the Web administration interface, open a browser and navigate to localhost:8080 and press Manager App button. Enter the username and password of apache tomcat. Click on the start button for the GeoServer. Once it has started, click the GeoServer link. This will take you to the GeoServer web page.
Uninstallation
Stop the container application. Remove the GeoServer webapp from the container application’s webapps directory. This will usually include the GeoServer.war file as well as a GeoServer directory.
Difference between GEOSERVER.war and GEOSERVER.exe?
- The ‘GeoServer.exe’ NSIS installer registers GeoServer as a Windows Service, which uses the Jetty application server to run GeoServer. The ‘GeoServer.war’ is a platform independent web-archive package to be deployed in your own application server (we recommend Apache Tomcat). Using the ‘GeoServer.exe’ installer is a reliable way to setup GeoServer as a windows background service. The downside is the included Jetty application server is managed using text files (jetty.ini) once installed.
- Use of ‘GeoServer.war’ web-archive is provided to install into your own application server (we recommend Apache Tomcat as the market leader, with excellent documentation and integration options). A single application server may support several web application allowing GeoServer to be run alongside your own java web application.

29 November 2023
20:22
Makina Corpus sponsorise le Capitole du Libre 2023 et nos experts animent une conférence !
sur Makina Corpus

Cette année encore, Makina Corpus est heureuse de sponsoriser le Capitole du Libre 2023. Nos experts animent une conférence autour de la constitution d'une communauté du libre à l'occasion de l'événement.

16:34
Du 26 au 28 mars 2024 à Aix-en-Provence: formation "savoir utiliser les Fichiers fonciers"
sur Datafoncier, données pour les territoires (Cerema)

Publié le 06 novembre 2023
Une session de formation "Savoir utiliser les Fichiers fonciers" se tiendra du 26 au 28 mars 2024 dans les locaux du Cerema Méditéranée à Aix-en-Provence. Cette session est à destination des bénéficiaires des Fichiers fonciers et des bureaux d'études. Vous trouverez le contenu et le coût de la formation dans la rubrique Accompagnement Inscription jusqu'au 1er mars (…)
Lire la suite

13:42
Retour sur le webinaire CoSIA, la donnée Couverture du Sol par Intelligence Artificielle
sur Toute l’actualité des Geoservices de l'IGN

Le mardi 10 octobre a marqué la participation de plus de 600 personnes au webinaire CoSIA.
13:27
Nouvelles fonctionnalités de l’outil IGN de création cartographique Ma carte
sur Toute l’actualité des Geoservices de l'IGN

Ma Carte, outil en ligne IGN de création et de publication de cartes à la disposition de tous les publics, s’enrichit de nouvelles fonctionnalités.

12:03
Marco Bernasocchi: New QGIS Courses dates for 2024
sur Planet OSGeo
We published our new dates for all courses in 2024 and are looking forward to your participation
- Cours QGIS de base, 10.01. et 17.01.2024 à Lausanne in French
- Cours QGIS avancé, 24.01. et 31.01.2024 à Lausanne in French
- INTERLIS Webinar, 07.03.24 Online in German
- Modelbaker Kurs, 14.03.24 in Zürich in German
- QGIS Kurs Einsteiger, 22.05 und 29.05.2024 in Zürich in German
- QGIS Kurs Fortgeschrittene, 05.06 und 12.06.2024 in Zürich in German
- QGIS Kurs Einsteiger, 30.10 und 06.11.2024 in Bern in German
- QGIS Kurs Fortgeschrittene, 13.11 und 20.11.2024 in Bern in German
- QGIS Kurs Fortgeschrittene, 13.11 und 20.11.2024 in Bern in German
You can find all course information by clicking on the corresponding link

Subscribe now
28 November 2023
19:57
Free and Open Source GIS Ramblings: Analyzing mobility hotspots with MovingPandas & CARTO
sur Planet OSGeo

Today, I want to point out a blog post over at

[https:]]

written together with my fellow co-authors and EMERALDS project team members Argyrios Kyrgiazos and Helen McKenzie.

In this blog post, we walk you through a trajectory hotspot analysis using open taxi trajectory data from Kaggle, combining data preparation with MovingPandas (including the new OutlierCleaner illustrated above) and spatiotemporal hotspot analysis from Carto.
16:47
gvSIG Team: Free workshop on ‘Introduction to gvSIG,’ using version 2.6 and its new icon set at 19th gvSIG Conference
sur Planet OSGeo

On November 30, 2023, during the 19th International gvSIG Conference, a free workshop will be held to learn to use version 2.6 of gvSIG, showcasing the new icon set.

To participate in the workshop, simply register using the following link: Workshop Registration.

Version 2.6 comes with an improved default icon set, replacing the one used since its initial versions.

This workshop will cover the main tools of the application, creating views, loading vector and raster layers, both locally and remotely, editing them graphically and alphanumeric, applying geoprocessing, and creating maps. All of this will be done using the new icon set, providing a refreshed version of gvSIG.

Whether you’ve used gvSIG before or it’s your first time, you won’t want to miss this workshop.

To follow it, you’ll need to download the portable version 2.6 of gvSIG for your operating system: Windows 64 – Windows 32 – Linux 64 – Linux 32

You’ll have to extract it to a folder without spaces. For example, you can create a folder called ‘gvSIG’ in C:\ (on Windows) or in the user’s home directory (on Linux), place the zip file inside, and extract it there.

You’ll also need to download the cartography to be used: Workshop Cartography ‘Introduction to gvSIG 2.6’

10:06
Geotrek lauréat des OSOR Awards : meilleure initiative open source du secteur public européen !
sur Makina Corpus

Geotrek, l'application de gestion et valorisation des activités de pleine nature et touristiques remporte le prix de la meilleure initiative open source du secteur public européen des OSOR Awards.

2:06
GeoTools Team: GeoTools 30.1 released
sur Planet OSGeo

 The GeoTools team is pleased to the release of the latest stable version of GeoTools 30.1:geotools-30.1-bin.zip geotools-30.1-doc.zip geotools-30.1-userguide.zip geotools-30.1-project.zip This release is also available from the OSGeo Maven Repository and is made in conjunction with GeoServer 2.24.1. The release was made by Jody Garnett (GeoCat).Release
27 November 2023
23:31
Free and Open Source GIS Ramblings: Setting up a graph db using GTFS data & Neo4J
sur Planet OSGeo
In a recent post, we looked into a graph-based model for maritime mobility data and how it may be represented in Neo4J. Today, I want to look into another type of mobility data: public transport schedules in GTFS format.

In this post, I’ll be using the public GTFS data for Riga since Riga is one of the demo sites for our current EMERALDS research project.

The workflow is heavily inspired by Bert Radke‘s post “Loading the UK GTFS data feed” from 2021 and his import Cypher script which I used as a template, adjusted to the requirements of the Riga dataset, and updated to recent Neo4J changes.

Here we go.

Since a GTFS export is basically a ZIP archive full of CSVs, we will be making good use of Neo4Js CSV loading capabilities. The basic script for importing the stops file and creating point geometries from lat and lon values would be:
```
LOAD CSV with headers 
FROM "file:///stops.txt" 
AS row 
CREATE (:Stop {
   stop_id: row["stop_id"],
   name: row["stop_name"], 
   location: point({
    longitude: toFloat(row["stop_lon"]),
    latitude: toFloat(row["stop_lat"])
    })
})
```
This requires that the stops.txt is located in the import directory of your Neo4J database. When we run the above script and the file is missing, Neo4J will tell us where it tried to look for it. In my case, the directory ended up being:

C:\Users\Anita\.Neo4jDesktop\relate-data\dbmss\dbms-72882d24-bf91-4031-84e9-abd24624b760\import

So, let’s put all GTFS CSVs into that directory and we should be good to go.

Let’s start with the agency file:
```
load csv with headers from
'file:///agency.txt' as row
create (a:Agency {
   id: row.agency_id, 
   name: row.agency_name, 
   url: row.agency_url, 
   timezone: row.agency_timezone, 
   lang: row.agency_lang
});
```
… Added 1 label, created 1 node, set 5 properties, completed after 31 ms.

The routes file does not include agency info but, luckily, there is only one agency, so we can hard-code it:
```
load csv with headers from
'file:///routes.txt' as row
match (a:Agency {id: "rigassatiksme"})
create (a)-[:OPERATES]->(r:Route {
   id: row.route_id, 
   shortName: row.route_short_name,
   longName: row.route_long_name, 
   type: toInteger(row.route_type)
});
```
… Added 81 labels, created 81 nodes, set 324 properties, created 81 relationships, completed after 28 ms.

From stops, I’m removing non-existent or empty columns:
```
load csv with headers from
'file:///stops.txt' as row
create (s:Stop {
   id: row.stop_id, 
   name: row.stop_name, 
   location: point({
      latitude: toFloat(row.stop_lat), 
      longitude: toFloat(row.stop_lon)
   }),
   code: row.stop_code
});
```
… Added 1671 labels, created 1671 nodes, set 5013 properties, completed after 71 ms.

From trips, I’m also removing non-existent or empty columns:
```
load csv with headers from
'file:///trips.txt' as row
match (r:Route {id: row.route_id})
create (r)<-[:USES]-(t:Trip {
   id: row.trip_id, 
   serviceId: row.service_id,
   headSign: row.trip_headsign, 
   direction_id: toInteger(row.direction_id),
   blockId: row.block_id,
   shapeId: row.shape_id
});
```
… Added 14427 labels, created 14427 nodes, set 86562 properties, created 14427 relationships, completed after 875 ms.

Slowly getting there. We now have around 16k nodes in our graph:

Finally, it’s stop times time. This is where the serious information is. This file is much larger than all previous ones with over 300k lines (i.e. times when an PT vehicle stops).

This requires another tweak to Bert’s script since using periodic commit is not supported anymore: The PERIODIC COMMIT query hint is no longer supported. Please use CALL { … } IN TRANSACTIONS instead. So I ended up using the following, based on [https:]] :
```
:auto
load csv with headers from
'file:///stop_times.txt' as row
CALL { with row
match (t:Trip {id: row.trip_id}), (s:Stop {id: row.stop_id})
create (t)<-[:BELONGS_TO]-(st:StopTime {
   arrivalTime: row.arrival_time, 
   departureTime: row.departure_time,
   stopSequence: toInteger(row.stop_sequence)})-[:STOPS_AT]->(s)
} IN TRANSACTIONS OF 10 ROWS;
```
… Added 351388 labels, created 351388 nodes, set 1054164 properties, created 702776 relationships, completed after 1364220 ms.

As you can see, this took a while. But now we have all nodes in place:

The final statement adds additional relationships between consecutive stop times:
```
call apoc.periodic.iterate('match (t:Trip) return t',
'match (t)<-[:BELONGS_TO]-(st) with st order by st.stopSequence asc
with collect(st) as stops
unwind range(0, size(stops)-2) as i
with stops[i] as curr, stops[i+1] as next
merge (curr)-[:NEXT_STOP]->(next)', {batchmode: "BATCH", parallel:true, parallel:true, batchSize:1});
```
This fails with: There is no procedure with the name apoc.periodic.iterate registered for this database instance. Please ensure you've spelled the procedure name correctly and that the procedure is properly deployed.

So, let’s install APOC. That’s a plugin which we can install into our database from within Neo4J Desktop:

After restarting the db, we can run the query:

No errors. Sounds good.

Let’s have a look at what we ended up with. Here are 25 random Trips. I expanded one of them to show its associated StopTimes. We can see the relations between consecutive StopTimes and I’ve expanded the final five StopTimes to show their linked Stops:

I also wanted to visualize the stops on a map. And there used to be a neat app called Neomap which can be installed easily:

However, Neomap does not seem to be compatible with the latest Neo4J:

So this final step will have to wait for another time.
19:49
gvSIG Team: Taller gratuito sobre “Introducción a gvSIG”, con la versión 2.6 y su nuevo juego de iconos en las 19as Jornadas gvSIG
sur Planet OSGeo

El día 30 de noviembre de 2023, durante las 19as Jornadas Internacionales gvSIG, se realizará un taller gratuito sobre el manejo de la versión 2.6 de gvSIG, con el nuevo juego de iconos.

Para seguir el taller solo deberás registrarte desde el siguiente enlace: Inscripción taller.

La versión 2.6 incluye por defecto un nuevo juego de iconos mejorado, sustituyendo al que llevaba desde sus versiones iniciales.

En este taller se repasarán las principales herramientas de la aplicación, aprendiendo a crear vistas, cargar capas vectoriales y raster, locales y remotas, a editarlas, tanto gráfica como alfanuméricamente, a aplicar geoprocesamiento y a generar mapas. Todo ello se realizará con el nuevo juego de iconos, que da una versión renovada a gvSIG.

Tanto si ya has utilizado gvSIG previamente, como si es tu primera vez, no puedes perderte este taller.

Para poder seguirlo, deberás descargarte la versión 2.6 portable de gvSIG, según tu sistema operativo: Windows 64 – Windows 32 – Linux 64 – Linux 32

Se deberá descomprimir en una carpeta sin espacios ni acentos ni eñes. Se puede crear por ejemplo una carpeta “gvSIG” en C:\ (en Windows) o en el home de usuario (en Linux), dejar el zip dentro, y descomprimir ahí.

Se deberá también descargar la cartografía a utilizar: Cartografía taller “Introducción a gvSIG 2.6”

10:00
Geotrek pour l'agglomération d'Alès !
sur Makina Corpus

Mise en place et maintenance
L'histoire de ce projet débute par un besoin :
9:48
2023 : quelles nouveautés pour TerraVisu ?
sur Makina Corpus

Cette année, la solution TerraVisu a connu de nombreux bouleversements, tant dans l'organisation de son code source que dans l'amélioration et l'enrichissement de ses fonctionnalités.

2:00
GeoServer Team: GeoServer 2.24.1 Release
sur Planet OSGeo
GeoServer 2.24.1 release is now available with downloads (bin, war, windows), along with docs and extensions.

This is a stable release of GeoServer recommended for production use. GeoServer 2.24.1 is made in conjunction with GeoTools 30.1, and GeoWebCache 1.24.1.

Thanks to Jody Garnett (GeoCat) for making this release.
Release notes
Improvement:
- GEOS-11152 Improve handling special characters in the Simple SVG Renderer
- GEOS-11153 Improve handling special characters in the WMS OpenLayers Format
- GEOS-11154 Improve handling special characters in the MapML HTML Page
- GEOS-11155 Add the X-Content-Type-Options header
- GEOS-11173 Default to using [HttpOnly] session cookies
- GEOS-11176 Add validation to file wrapper resource paths
- GEOS-11188 Let DownloadProcess handle download requests whose pixel size is larger than integer limits
- GEOS-11189 Add an option to throw a service exception when nearest match “allowed interval” is exceeded
- GEOS-11193 Add an option to throw an exception when the time nearest match does not fall within search limits
Bug:
- GEOS-11074 GeoFence may not load property file at boot
- GEOS-11166 OGC API Maps HTML representation fail without datetime parameter
- GEOS-11184 ncwms module has a compile dependency on gs-web-core test jar
- GEOS-11190 GeoFence: align log4j2 deps
- GEOS-11196 NPE in VectorDownload if ROI not defined
- GEOS-11200 GetFeatureInfo can fail on rendering transformations that generate a different raster
- GEOS-11203 WMS GetFeatureInfo bad WKT exception for label-geometry
- GEOS-11206 Throw nearest match mismatch exceptions only for WMS
For the complete list see 2.24.1 release notes.
Community Module Updates OAuth2 OpenID-Connect improvements
Two improvements have been made to the community module for OAuth2 OpenID-Connect authentication:
- GEOS-11209 Open ID Connect Proof Key of Code Exchange (PKCE)
- GEOS-11212 ODIC accessToken verification using only JWKs URI
In addition the module includes an OIDC_LOGGING profile and updated documentation covering new settings and troubleshooting guidance.

Thanks Jody Garnett for these improvements on behalf of GeoBeyond.

note: Over the course of 2024 the OAuth2 plugins will need to be rewritten for spring-framework 6. Interested parties are encouraged to reach out to geoserver-devel email list; ideally we would like to see this functionality implemented and included as part of GeoServer.
About GeoServer 2.24 Series
Additional information on GeoServer 2.24 series:
Release notes: ( 2.24.1 | 2.24.0 | 2.24-RC )

GeoServer is an Open Source Geospatial Foundation project supported by a mix of volunteer and service provider activity. We reply on sponsorship to fund activities beyond the reach of individual contributors.
24 November 2023
19:47
KAN T&IT Blog: Destacada participación de Julia Martinuzzi y Walter Shilman en el Side Event de UN-GGIM Américas
sur Planet OSGeo

El pasado 20 de octubre, nuestra Directora de Operaciones (COO), Julia Martinuzzi, y nuestro Director de Tecnología (CTO), Walter Shilman, asumieron roles clave durante la Décima Sesión de la Comisión de las Naciones Unidas para América Latina y el Caribe (ECLAC) celebrada en Santiago de Chile. Su destacada participación se centró en la organización y liderazgo del Side Event titulado «Open Source technologies for geospatial information management and their role in the implementation of the IGIF.»

Este evento, coordinado por el capítulo argentino de OSGeo – Geolibres, reunió a destacados expertos de la región para compartir sus conocimientos sobre enfoques sostenibles y accesibles para abordar los desafíos geoespaciales.

La discusión se centró esencialmente en la implementación del Marco Integrado de Información Geoespacial (IGIF), resaltandola importancia de la accesibilidad y sostenibilidad, con un énfasis primordial en la aplicación de tecnologías de código abierto.

Los participantes exploraron temas clave, como la integración de datos estadísticos y geoespaciales, destacando cómo las tecnologías de código abierto fomentan la colaboración y mejoran la toma de decisiones. Además, se examinó el papel esencial de la geoinformación y las tecnologías de código abierto en la gestión de desastres.

El evento concluyó resaltando la necesidad de difundir y promover el uso de tecnologías de código abierto entre los países miembros de UN-GGIM, subrayando su poder en la Gestión de Información Geoespacial. La colaboración e intercambio de conocimientos entre expertos y principiantes fueron identificados como impulsores clave para un uso más efectivo de la información geoespacial en diversas aplicaciones, desde la planificación urbana hasta la gestión de desastres.

En ese momento, Julia Martinuzzi y Walter Shilman lideraron de manera destacada, contribuyendo significativamente al buen desarrollo del evento. Esperamos que esta experiencia positiva siga siendo una fuente de nuevas ideas y trabajo conjunto en el manejo de información geoespacial en América Latina y el Caribe.

Presentación en el Side Event sobre «Open Source technologies for geospatial information management and their role in the implementation of the IGIF,»

Les compartimos la presentación del evento para que todos puedan acceder.

Presentación Side Event: «Open Source technologies for geospatial information management and their role in the implementation of the IGIF»
UN-GGIM-Americas-Side-Event-EN Descarga
23 November 2023
16:05
SIG Libre Uruguay: Un nuevo reconocimiento a gvSIG
sur Planet OSGeo

El Proyecto GVSIG, impulsado por la Generalitat Valenciana y la Asociación GVSIG, galardonado como mejor proyecto de software de Europa en los OSOR Awards

16:00
OGC Compliance Certification now available for the GeoPose 1.0 Data Exchange Standard
sur Open Geospatial Consortium (OGC)
The Open Geospatial Consortium (OGC) is excited to announce that the Executable Test Suite (ETS) for version 1.0 of the OGC GeoPose Data Exchange Standard has been approved by the OGC Membership. Products that implement OGC GeoPose 1.0 and pass the tests in the ETS can now be certified as OGC Compliant.

The OGC Compliance Program offers a certification process that ensures organizations’ solutions are compliant with OGC Standards. It is a universal credential that allows agencies, industry, and academia to better integrate their solutions. OGC Compliance provides confidence that a product will seamlessly integrate with other compliant solutions regardless of the vendor that created them.

Implementers of the GeoPose 1.0 Data Exchange Standard are invited to validate their products using the new test suite in the OGC validator tool. Testing involves submitting an OGC GeoPose 1.0 document produced by the product being assessed. These tests typically take only 5-10 minutes to complete. Once a product has passed the test, the implementer can apply to use the ‘OGC Compliant’ trademark on their product.

OGC GeoPose is a free and open Implementation Standard for exchanging the location and orientation of real or virtual geometric objects (“Poses”) within reference frames anchored to Earth’s surface (“Geo”) or within other astronomical coordinate systems. The Standard specifies a JavaScript Object Notation (JSON) encoding for representing conformant poses.

The GeoPose Standard specifies a number of conformance classes, most being optional. One conformance class is defined for each corresponding set of Structural Data Units (SDUs), where each SDU is linked to the Logical Model as an alias for a class or attribute. The following conformance classes from the OGC GeoPose 1.0 Data Exchange Standard (OGC 21-056r11) are supported by the ETS:
- Basic-YPR (Yaw-Pitch-Roll) SDU JSON
- Basic-Quaternion SDU JSON – Permissive
- Advanced SDU JSON
- Graph SDU JSON
- Chain SDU JSON
- Regular Series SDU JSON
- Stream SDU JSON
Some of the products implementing the GeoPose Standard that have already been certified as OGC Compliant include Away Team Software’s 3D Compass 1, OpenSitePlan’s SolarPose 1.0, and Ethar Inc.’s GeoPose C# Library 1.0. These products apply GeoPose in a wide variety of applications, such as Augmented Reality (AR), mobile Location Based Services (LBS), web APIs, and more. To implement GeoPose in your product, please refer to the OGC GeoPose 1.0 Data Exchange Standard document, freely available from OGC. Additional documentation is also available on the GeoPose website.

More information about the OGC compliance process, and how it can benefit your organization, is available at ogc.org/compliance. Implementers of the OGC GeoPose 1.0 Data Exchange Standard – or other OGC Standards – can validate their products now using the OGC Validator Tool.

The post OGC Compliance Certification now available for the GeoPose 1.0 Data Exchange Standard appeared first on Open Geospatial Consortium.

12:25
gvSIG Team: El Proyecto GVSIG, impulsado por la Generalitat Valenciana y la Asociación GVSIG, galardonado como mejor proyecto de software de Europa en los OSOR Awards
sur Planet OSGeo

El Proyecto GVSIG, una iniciativa conjunta de la Generalitat Valenciana y la Asociación GVSIG, ha sido distinguido con el primer premio en los OSOR Awards. Este galardón reconoce los logros excepcionales que ha logrado el proyecto GVSIG a nivel internacional y reflejan el compromiso continuo de la Generalitat Valenciana con la innovación y la colaboración.

Los OSOR Awards han sido organizados por el Observatorio de Software Libre (OSOR) de la Comisión Europea con motivo de su 15 aniversario, y han querido destacar los mejores proyectos impulsados por las administraciones públicas de toda Europa. En este contexto, GVSIG ha destacado entre todas las nominaciones, convirtiéndose en el ganador de los premios, en los que se ha destacado su impacto global y su contribución al desarrollo tecnológico europeo.
Según los organizadores de los premios se recibieron más de cien candidaturas de 23 países. Tras una primera fase, el jurado seleccionó los seis mejores proyectos, donde GVSIG compartía opciones con proyectos de España, Dinamarca, Italia y Francia. Durante el evento organizado en el día de ayer en Bruselas, los seis proyectos tuvieron que defender su candidatura ante el jurado de la Comisión Europea. Finalmente fue anunciado el ganador: el proyecto GVSIG presentado conjuntamente por la Generalitat Valenciana y la Asociación GVSIG.

El Proyecto GVSIG es un catálogo de herramientas informáticas para gestión de información geográfica que desde su nacimiento en 2004 ha ido ganado reconocimiento por su versatilidad y utilidad en una variedad de sectores, desde la gestión de recursos naturales hasta la planificación urbana. La Generalitat Valenciana ha desempeñado un papel fundamental tanto en su impulso inicial como en el respaldo continuo al proyecto. La Asociación GVSIG, por su parte, ha desempeñado un papel esencial en la promoción y difusión de esta plataforma a nivel internacional, facilitando la generación y crecimiento de un sector empresarial valenciano especialista en tecnologías de información geográfica. Un ejemplo de colaboración público-privada que ahora obtiene el reconocimiento de Europa.
Este prestigioso galardón no solo reconoce el éxito del Proyecto GVSIG, sino que también destaca el compromiso de la Generalitat Valenciana y la Asociación GVSIG con la promoción de soluciones tecnológicas abiertas y accesibles, fomentando la innovación y la colaboración como motor de desarrollo.
GVSIG da solución a todas las necesidades relacionadas con la geolocalización y la administración del territorio. En la Generalitat Valenciana se multiplican sus usuarios y entre los diversos ejemplos de uso se encuentran desde aplicaciones para ayudar a proteger las praderas fanerógamas, la conocida posidonia, evitando fondear en zonas protegidas a aplicaciones de gestión del registro vitivinícola, pasando por soluciones para fomentar la movilidad sostenible mediante un planificador de rutas más versátil que el propio Google Maps o aplicaciones para analizar los accidentes de tráfico.
Si su uso es transversal en la Generalitat Valenciana, otro tanto ocurre a nivel global. Son innumerables las entidades de todo tipo que utilizan esta tecnología valenciana. En la presentación de los OSOR Awars se citaron varias de ellas. A nivel supranacional entidades como Naciones Unidas la han adoptado como tecnología de referencia en usos tan destacados como facilitar la seguridad de las misiones de los Cascos Azules en sus desplazamientos ante ataques terroristas. A nivel nacional ha sido igualmente adoptada, contando casos tan significativos como el del Gobierno de Uruguay, donde GVSIG es la base tecnológica para todos los proyectos de gestión y difusión de información territorial del país, habiendo servido también para crear un sistema único de direcciones. En Uruguay ha sido tal el nivel de adopción que en la educación secundaria es utilizada para el aprendizaje de las materias relacionadas con la geografía. Su uso a nivel regional y local nos lleva a citar ejemplos como el del Estado de Tocantins en Brasil, donde se ha convertido en la plataforma de gestión geográfica y estadística o el Gobierno de Córdoba en Argentina, donde es utilizada para analizar los datos de criminalidad y seguridad ciudadana. Y donde todavía está más implantada es en las administraciones locales, donde GVSIG está siendo adoptada a gran velocidad por decenas de ayuntamientos de toda España; los últimos han sido los Ayuntamientos de Alicante, Albacete, Cartagena y Talavera de la Reina. Solo en la Comunidad Valenciana el número de ayuntamientos que confían en GVSIG es innumerable: Cullera, Onda, Picassent, L’Eliana, La Pobla de Vallbona, Nàquera, Alzira, Benicarló… e igualmente otras entidades valencianas han adoptado GVSIG como el Consorcio Provincial de Bomberos de Valencia, donde su uso se centra en la gestión de emergencias. Y más allá de la administración pública, cuya relación con el territorio es directa, GVSIG también ha entrado a formar parte de las soluciones informáticas que utilizan empresas que trabajan con información geoposicionada, como es el caso de Repsol que hace un uso extensivo de GVSIG en su división de energías renovables.
El premio otorgado a la Generalitat Valenciana y a la Asociación GVSIG se suma a otros galardones obtenidos anteriormente, de entidades tan diversas como el Diario Expansión o la NASA.
GVSIG es un referente en lo que se ha denominado Infraestructuras de Datos Espaciales, la puesta en marcha de plataformas que permitan a las administraciones públicas compartir su información geográfica mediante estándares.
El impacto del proyecto tiene numerosas derivadas, a nivel académico se imparte formación en GVSIG en universidades de todo el mundo, se publican anualmente cientos de artículos científicos donde se utiliza GVSIG como herramienta de los investigadores, se multiplican las conferencias y eventos donde se presentan todo tipo de proyectos desarrollados con GVSIG.
GVSIG, un proyecto basado en el conocimiento libre, ejemplo de colaboración público-privada que sitúa a Valencia como uno de los indiscutibles polos de referencia en el ámbito de la geomática, la tecnología aplicada a la dimensión geográfica de la información. El premio obtenido ayer es un reconocimiento a todo el camino recorrido.
Recientemente ha sido nominado al Premio Nacional de Ciencias Geográficas, todavía por resolver. Lo que nos han confirmado fuentes de la Asociación gvSIG es que esta candidatura ha recibido más de 150 cartas de apoyo de entidades de todo el mundo, desde el Departamento de Transporte de Washington al Ordnance Survey, la agencia cartográfica del Reino Unido.
10:24
gvSIG Team: The GVSIG Project, driven by the Generalitat Valenciana and the GVSIG Association, awarded as the best software project in Europe at the OSOR Awards
sur Planet OSGeo

The GVSIG Project, a joint initiative of the Generalitat Valenciana and the GVSIG Association, has been honored with the first prize at the OSOR Awards. This award recognizes the exceptional achievements of the GVSIG project on an international level and reflects the ongoing commitment of the Generalitat Valenciana to innovation and collaboration.

The OSOR Awards were organized by the Observatory of Open Source Software (OSOR) of the European Commission on the occasion of its 15th anniversary, aiming to highlight the best projects driven by public administrations throughout Europe. In this context, GVSIG stood out among all nominations, becoming the winner of the awards, emphasizing its global impact and contribution to European technological development.

According to the award organizers, over a hundred nominations from 23 countries were received. After an initial phase, the jury selected the top six projects, where GVSIG competed alongside projects from Spain, Denmark, Italy, and France. During the event held yesterday in Brussels, the six projects had to defend their candidacy before the European Commission’s jury. Finally, the winner was announced: the GVSIG project jointly presented by the Generalitat Valenciana and the GVSIG Association.

The GVSIG Project is a catalog of computer tools for geographic information management that, since its inception in 2004, has gained recognition for its versatility and usefulness in various sectors, from natural resource management to urban planning. The Generalitat Valenciana has played a fundamental role in both its initial promotion and continuous support for the project. The GVSIG Association, in turn, has played an essential role in promoting and disseminating this platform internationally, facilitating the generation and growth of a Valencian business sector specializing in geographic information technologies. An example of public-private collaboration that now receives recognition from Europe.

This prestigious award not only acknowledges the success of the GVSIG Project but also highlights the commitment of the Generalitat Valenciana and the GVSIG Association to promoting open and accessible technological solutions, fostering innovation and collaboration as drivers of development.

GVSIG addresses all needs related to geolocation and territory management. Its users in the Generalitat Valenciana are multiplying, and among various use cases are applications to help protect seagrass meadows, such as the well-known posidonia, by avoiding anchoring in protected areas, applications for managing the vineyard registry, and solutions to promote sustainable mobility through a route planner more versatile than Google Maps itself, or applications to analyze traffic accidents.

If its use is widespread in the Generalitat Valenciana, the same is true globally. Countless entities of all kinds use this Valencian technology. Several were mentioned in the presentation of the OSOR Awards. At the supranational level, entities like the United Nations have adopted it as a reference technology for prominent uses, such as enhancing the security of Blue Helmets’ missions during their travels in the face of terrorist attacks. Nationally, it has been similarly adopted, with significant cases such as the Government of Uruguay, where GVSIG is the technological basis for all territorial information management and dissemination projects in the country, also serving to create a unique addressing system. In Uruguay, its adoption is so extensive that it is used in secondary education for learning subjects related to geography. Its use at the regional and local levels leads to examples such as the State of Tocantins in Brazil, where it has become the platform for geographic and statistical management, or the Government of Córdoba in Argentina, where it is used to analyze crime and public safety data. It is even more deeply entrenched in local administrations, with GVSIG being rapidly adopted by dozens of municipalities throughout Spain, including the recent additions of the municipalities of Alicante, Albacete, Cartagena, and Talavera de la Reina. In the Valencian Community alone, the number of municipalities trusting GVSIG is countless: Cullera, Onda, Picassent, L’Eliana, La Pobla de Vallbona, Nàquera, Alzira, Benicarló, and many other Valencian entities have also adopted GVSIG, such as the Provincial Fire Consortium of Valencia, where its use focuses on emergency management. Beyond the public administration, whose relationship with the territory is direct, GVSIG has also become part of the computer solutions used by companies working with geopositioned information, such as Repsol, which extensively uses GVSIG in its renewable energy division.

The award granted to the Generalitat Valenciana and the GVSIG Association adds to other accolades previously obtained from diverse entities such as Diario Expansión or NASA.

GVSIG is a reference in what is called Spatial Data Infrastructures, the implementation of platforms that allow public administrations to share their geographic information through standards.

The impact of the project has numerous ramifications; academically, GVSIG training is offered at universities worldwide, hundreds of scientific articles are published annually using GVSIG as a tool by researchers, and conferences and events showcasing various projects developed with GVSIG abound.

GVSIG, a project based on free knowledge, is an example of public-private collaboration that positions Valencia as one of the undisputed reference hubs in the field of geomatics, technology applied to the geographic dimension of information. The award obtained yesterday is recognition for the entire journey taken.

Recently, it has been nominated for the National Geographic Sciences Award, still pending resolution. Sources from the GVSIG Association have confirmed that this candidacy has received more than 150 letters of support from entities worldwide, from the Department of Transportation in Washington to the Ordnance Survey, the cartographic agency of the United Kingdom.

22 November 2023
16:51
Une nouvelle méthode opérationnelle pour surveiller le dépérissement des chênes en région Centre-Val de Loire
sur Séries temporelles (CESBIO)

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Les résultats présentés ici sont issus des travaux publiés dans l’article: F. Mouret, D. Morin, H. Martin, M. Planells and C. Vincent-Barbaroux, « Toward an Operational Monitoring of Oak Dieback With Multispectral Satellite Time Series: A Case Study in Centre-Val De Loire Region of France, » in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: https://doi.org/10.1109/jstars.2023.3332420
Contexte et introduction
Le dépérissement forestier se caractérise par une diminution de la vitalité des arbres (déficit foliaire, perte de ramifications et de branches), pouvant aller jusqu’à leur mort. Il est causé par une combinaison de facteurs (sol, climat, ravageur, …) pouvant se succéder et/ou se combiner, provoquant une perte de santé dans des peuplements entiers.
Le changement climatique, un facteur aggravant
Le changement climatique a un impact direct sur les forêts. Les principaux facteurs en cause sont l’augmentation des températures et des phénomènes météorologiques extrêmes ainsi qu’une modification des précipitations. Les arbres, plus vulnérables, sont donc plus sensibles aux attaques de ravageurs et aux parasites, eux même favorisés par l’augmentation des températures.
Figure 1: Taux d’arbres morts sur pied par essence (période 2015-2019). Source : IGN ( [https:]] ) Étude de cas : le dépérissement des chênes en Centre-Val de Loire
Le chêne sessile et pédonculé, des espèces emblématiques des forêts françaises et particulièrement présentes en région Centre-Val de Loire, sont touchés par une augmentation massive des dépérissements. Cette augmentation fait suite aux sécheresses successives de ces dernières années (en particulier 2018/2019/2020) et devrait continuer dans les décennies à venir. Concernant la vitesse des dépérissements, celui du chêne est un processus lent et diffus contrairement à d’autres espèces (par exemple, les attaques de scolytes sur épicéa), ce qui rend son suivi particulièrement délicat.
Mise en place d’un système de suivi opérationnel basée sur la chaîne de traitement iota2
Dans ce contexte, un état des lieux est nécessaire afin d’adapter au mieux les réponses à apporter par la filière forestière. Dans le cadre du projet RECONFORT de l’ARD SYCOMORE, programme de recherche financé par la région Centre-Val de Loire, un système de suivi opérationnel du dépérissement du chêne a donc été mis au point par l’Université d’Orléans et le CESBIO. Ce suivi est réalisé à l’aide d’images satellites Sentinel-2, qui présentent des avantages évident pour ce type d’applications : grande revisite temporelle et résolution spatiale adaptée à des détections fines. La chaîne de traitement se base sur iota2, développée au CESBIO pour la cartographie large échelle à l’aide de séries temporelles d’images satellite. L’utilisation de iota2 permet d’avoir une chaîne de production facilement transférable et/ou utilisable par différents utilisateurs (voir par exemple notre package de production de cartes de dépérissement). Dans le cadre de notre étude, la chaîne iota2 a été adaptée à nos besoins. En particulier, l’étape d’apprentissage du modèle est effectuée en dehors de la chaîne afin de pouvoir utiliser des exemples d’apprentissage provenant de plusieurs années différentes (voir la Section Méthode).
Zone d’étude et données d’apprentissage
Notre zone d’étude correspond à la région Centre-Val de Loire et ses environs (voir Figure 2). Les données d’apprentissages sont des placettes (20 arbres) labellisées entre les année 2017 et 2022 à l’aide du protocole DEPERIS, utilisé par le Département de la santé des forêts (DSF) en France. En prenant en compte le taux de mortalité de branches et le manque de ramification, ce protocole associe à un arbre une note allant de A (sain) à F (mort). Une note de D correspond à un arbre dépérissant et traduit une perte de plus de 50% de son houppier. Une placette est considérée dépérissante lorsque plus de 20% des arbres sont dépérissants (c’est la convention adoptée par les forestiers en France). En pratique, nous avons séparé les placettes en 3 catégories en fonction du pourcentage d’arbres dépérissants : saines (moins de 20%), dépérissantes (entre 20 et 50%) et très dépérissantes (+50%). Au total, plus de 2700 placettes de référence ont été utilisées, la moitié ayant été labellisées en 2020 lors d’une enquête nationale menée par le DSF.
Figure 2 : La région d’étude est délimitée par la zone grise. La frontière de la région Centre-Val de Loire et de ses départements est en blanc. Enfin, les points de couleur localisent les données de référence, chaque couleur représentant une année de notation. L’arrière-plan utilise des images S2 sans nuage (Mouret et al., 2023). Méthode
La chaîne de traitement élaborée pour l’apprentissage d’un modèle de détection du dépérissement sur le chêne est détaillée Figure 3. Une des particularités de notre approche est l’élaboration d’une base d’apprentissage multi-annuel, permettant d’obtenir un modèle de prédiction utilisable sur plusieurs années différentes. Cette approche multi-annuelle est motivée par la volonté de 1) mettre à profit la disponibilité de références terrain acquises sur plusieurs années et 2) continuer les prédictions dans les années à venir sans avoir besoin de recalibrer le modèle appris.

Dans un premier temps, nous avons étudié différents indices spectraux calculés à partir d’images Sentinel-2 afin de repérer ceux qui étaient les mieux adaptés au suivi du dépérissement du chêne. Deux indices différents et complémentaires ont été choisis : un lié au contenu en chlorophylle et l’autre lié au contenu en eau de la végétation analysée. En passant à la production des cartes, nous nous sommes aperçus que les prédictions du modèle appris sur nos données brutes avaient tendance à osciller entre prédictions optimistes (carte avec une majorité de pixels sains) et pessimistes (carte avec plus de pixels dépérissants). Ces oscillations sont causées par des variations phénologiques et un déséquilibre de nos données d’apprentissage: par exemple, les prédictions pour l’année 2020 ayant une grande proportion de données d’apprentissage saines sont plus optimistes que l’année 2021 qui a une proportion de données d’apprentissage dépérissantes plus importante. Pour améliorer la stabilité de notre modèle de prédiction (et ses performances), nous avons augmenté nos données d’apprentissage en utilisant une technique simple et intuitive qui peut se résumer avec les deux règles suivantes : Règle 1: une placette saine l’année Y était très probablement saine les années Y-1 et Y-2, Règle 2 : une placette dépérissante l’année Y va très probablement continuer à dépérir l’année Y+1 et Y+2. En pratique (voir détails dans l’article complet), le modèle de classification utilisé est Random Forest et les données d’entrées sont des séries temporelles sur deux années consécutives des deux indices de végétation issus d’image Sentinel-2 décrit plus haut. Une étape d’équilibrage du jeu d’apprentissage est également effectuée grâce à l’algorithme SMOTE, qui permet de générer des exemples synthétiques dans les classes minoritaires.
Figure 3 : chaîne de traitement proposée (Mouret et al., 2023) Résultats
Nos résultats de validation montrent qu’il est possible de détecter avec précision le dépérissement du chêne (overall accuracy = 80 % et balanced accuracy = 79 %). Une validation croisée spatiale a également été effectuée avec un tampon de 10 km pour évaluer les performances du modèle sur des régions qui n’ont jamais été rencontrées pendant l’entraînement (quelque soit les années). Dans ce cas là, une légère diminution des performances a été observée ( ? 5 %). La Figure 4 montre la carte produite pour l’année 2022. Elle met en avant l’hétérogénéité de l’état sanitaire au sein de la région : la Sologne au centre de l’image est par exemple très dépérissante alors que le nord-ouest est peu affecté. N’ayant pas à notre disposition de masque chêne de grande qualité, nous avons décidé d’utiliser le masque feuillus OSO (des études préliminaires nous ont d’ailleurs montré que les cartes produites sont assez pertinentes sur les feuillus en général). En utilisant le masque de chêne « BD forêt V2 (IGN) » , le pourcentage de pixels dépérissants est passé de 15% en 2019 à 25% en 2022 (ces résultats sont à prendre avec précaution et sont probablement pessimistes, puisque le masque est ancien et que nous ne disposons pas d’un masque pour les coupes rases).. Des parcelles homogènes (en rouge) sont visibles et correspondent en général à des coupes. Les Figures 5 et 6 nous permettent d’apprécier plus en détail la finesse spatiale de l’analyse et l’évolution temporelle des dépérissements dans des zones situées dans les forêts domaniales d’Orléans et de Tronçais. En particulier, nous pouvons constater l’évolution parfois très rapide et étendue des dépérissements d’une année à l’autre.
Figure 4 : Cartographie de l’état sanitaire des peuplements feuillus pour l’année 2022. En cyan, orange et en rouge les pixels sains, dépérissants et fortement dépérissants. Le masque de la carte d’occupation du sol OSO 2021 pour les peuplements feuillus a été utilisé.

Figure 5: Évolution du dépérissement prédit entre 2017 et 2022 sur une partie de la forêt d’Orléans (nord-ouest). Des parcelles homogènes (en rouge) sont visibles et correspondent en général à des coupes. Figure 6: Évolution du dépérissement prédit entre 2017 et 2022 sur une partie de la forêt de Tronçais. Des parcelles homogènes (en rouge) sont visibles et correspondent en général à des coupes. Conclusions et perspectives
Ces travaux mettent en avant l’intérêt de l’imagerie Sentinel-2 pour le suivi systématique de la santé des forêts. Compte tenu du caractère diffus du phénomène observé, l’utilisation de méthode supervisée (ici Random Forest) s’est avérée nécessaire. Une particularité de notre approche est l’élaboration d’un modèle multi-annuel assez stable pour être utilisé plusieurs années successives. De nombreuses perspectives et pistes d’amélioration sont possibles. En particulier, il serait intéressant d’automatiser l’étape d’augmentation de données afin de remplacer les règles (rigides) appliquées actuellement. Un passage à l’échelle nationale pourrait être envisageable compte tenu de la relative robustesse du modèle pour la prédiction sur plusieurs années et sur des zones en dehors de la région d’apprentissage. Passer à un modèle feuillus et non spécifique au chêne pourrait également permettre de fournir un produit plus généraliste. Enfin, l’ajout d’images Sentinel-1 est une autre piste de recherche intéressante afin d’évaluer si la complémentarité entre les deux satellites est pertinente pour notre cas d’usage.
Remerciements
Nous remercions chaleureusement l’équipe iota2 du CESBIO (A. Vincent, H. Touchais, M. Fauvel, J. Inglada, etc.) et le CNES. Nous remercions également les divers participants du projet RECONFORT (liste non exhaustive) : ONF (J. Mollard, A. Jolly, M. Boulogne), CNPF (M. Chartier, J. Rosa), Unisylva (E. Cacot, M. Bastien), DSF (T. Belouard, FX. Saintonge, S. Laubray), INRAe (JB. Féret, S. Perret) et l’EI de Purpan (V. Cheret et JP. Denux). Ce travail a bénéficié d’une aide au titre du programme Ambition Recherche et Développement (ARD) SYCOMORE financé par la région Centre-Val de Loire.
16:42
A new operational method for monitoring oak dieback in the Centre-Val de Loire region
sur Séries temporelles (CESBIO)

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The results presented here are based on work published in the journal paper: F. Mouret, D. Morin, H. Martin, M. Planells and C. Vincent-Barbaroux, « Toward an Operational Monitoring of Oak Dieback With Multispectral Satellite Time Series: A Case Study in Centre-Val De Loire Region of France, » in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: https://doi.org/10.1109/jstars.2023.3332420
Introduction
Forest dieback is characterized by a reduction in tree vitality (defoliation, loss of branches and twigs), which may lead to death. It is caused by a combination of factors (soil, climate, pests, etc.) that can occur in sequence and/or in combination, leading to a loss of health in entire stands.
Climate change, an aggravating factor
Climate change has a direct impact on forests. The main factors are rising temperatures, extreme weather events and changes in rainfall patterns. Trees become more fragile and therefore more susceptible to pests and parasites, which are themselves favored by rising temperatures.

Figure 1: Rate of standing dead trees by species (2015-2019 period) Source: IGN ( [https:]] Case study: Oak dieback in the Centre-Val de Loire region
Sessile and pedunculate oaks, emblematic species of French forests and particularly present in the Centre-Val de Loire region, are affected by a massive increase in dieback. This increase follows the successive droughts of recent years (in particular 2018/2019/2020) and will continue in the coming decades. Unlike dieback in other species (e.g. bark beetle attacks on spruce), oak dieback is a slow and diffuse process that is particularly difficult to monitor.
Implementation of an operational monitoring system based on the iota2 processing chain
In this context, timely mapping of forest health is needed to best tailor the responses of the forest sector. Within the RECONFORT project of ARD SYCOMORE, a research program financed by the Centre-Val de Loire region, an operational monitoring system for oak decline has been developed by the University of Orléans and CESBIO. This monitoring system uses Sentinel-2 satellite imagery, which offers obvious advantages for such an application: high temporal revisit and spatial resolution suitable for precise detection. The processing chain is based on iota2, developed at CESBIO for large-scale mapping with satellite image time series. The use of iota2 means that the production chain is easily transferable and usable by different users (see, for example, our package for the production of dieback maps). In the context of our study, the iota2 chain was adapted to our needs. In particular, the model learning step is performed outside the chain, so that learning examples from several different years can be used (see Methods section).
Study area and reference data
Our study area corresponds to the Centre-Val de Loire region and its surroundings (see Figure 2). The training data are plots (20 trees) labeled between 2017 and 2022 according to the DEPERIS protocol used by the Département de la Santé des Forêts (DSF, Department of Forest Health) in France. Taking into account branch mortality and lack of ramification, this protocol assigns to each tree a grade ranging from A (healthy) to F (dead). A grade of D corresponds to a declining tree with a loss of more than 50% of its crown. A plot is considered to be affected by dieback if more than 20% of the trees are declining (this is the convention used by foresters in France). In practice, we divided the plots into 3 categories according to the percentage of declining trees: healthy (less than 20%), declining (between 20 and 50%) and very declining (+50%). In total, more than 2,700 reference plots were used, half of which were labeled in 2020 during a national survey conducted by the DSF.
Figure 2 : The study region is delimited by the grey area. The boundaries of the Centre-Val de Loire region and its departments are shown in white. Finally, the colored dots locate the reference data, each color representing a year of rating. The background uses cloud-free S2 images (Mouret et al., 2023). Method
The processing chain developed for oak dieback detection is detailed in Figure 3. A contribution of our approach is the development of a multi-year learning set, which makes it possible to obtain a prediction model that can be used to predict dieback over several years. The main motivations for this multi-year approach were 1) to take advantage of the availability of plot references acquired over several years, and 2) to continue predicting in future years without the need to recalibrate the prediction model.

As a first step, we studied different spectral indices extracted from Sentinel-2 images to identify those most suitable for monitoring oak dieback. Two complementary indices were selected: one related to chlorophyll content and the other to water content of the vegetation. As for the map production, we found that the predictions of the model learned from our raw data tended to oscillate between optimistic predictions (map with a majority of healthy pixels) and pessimistic ones (map with more dieback detected). These oscillations are caused by phenological variations and an imbalance in our training data. For example, predictions for the year 2020, which has a high proportion of healthy training data, are more optimistic than those for the year 2021, which has a higher proportion of declining training data. To improve the stability of our classifier (and its performance), we expanded our training data using a simple and intuitive procedure that can be summarized by the following two rules. Rule 1: a plot that was healthy in year Y was most likely healthy in years Y-1 and Y-2. Rule 2: a plot that was declining in year Y will most likely continue to decline in years Y+1 and Y+2. In practice (see details in the full article), the classification model used is a Random Forest and the input data are time series over two consecutive years of the two vegetation indices derived from the Sentinel-2 image described above. The training set is also balanced using the SMOTE algorithm, which generates synthetic examples in the minority classes.
Figure 3 : proposed processing chain (Mouret et al., 2023) Results
Our validation results show that it is possible to accurately detect oak dieback (average overall accuracy = 80% and average balanced accuracy = 79%). A spatial cross-validation was also conducted with a buffer of 10km to evaluate the performance of the model on regions that were never encountered during training across all years, resulting in a slight decrease in accuracy ( ? 5%). Figure 4 shows the map produced for the year 2022. It highlights the heterogeneous state of forest health within the region: the Sologne region in the center of the image, for example, is in severe decline, while the northwest is less affected. As we did not have a high quality oak mask, we decided to use the OSO deciduous mask (preliminary studies have shown that the maps produced are quite relevant for deciduous trees in general). Looking at the oak mask « BD forêt V2 (IGN)« , the percentage of pixels in decline has increased from 15% in 2019 to 25% in 2022 (these results should be taken with caution and are probably pessimistic since the mask is old and we do not have a proper mask for clear cuts). Homogeneous plots (in red) are visible and generally correspond to clear-cuts. Figures 5 and 6 allow us to appreciate in more detail the spatial resolution of the analysis and the temporal evolution of the dieback in areas located in the state forests of Orléans and Tronçais. In particular, we can see how quickly and extensively dieback can change from one year to the next.

Figure 4 : Mapping of deciduous stand dieback for the year 2022. Healthy, declining, and very declining pixels are shown in cyan, orange, and red. The OSO 2021 deciduous tree mask was used.

Figure 5: Trends in predicted dieback between 2017 and 2022 on part of the Orléans forest (north-west). Homogeneous plots (in red) are visible and generally correspond to clear-cuts Figure 6: Trends in predicted dieback between 2017 and 2022 in part of the Tronçais forest. Some homogeneous plots (in red) are visible and generally correspond to clear-cuts. Conclusions and perspectives
This work highlights the value of Sentinel-2 imagery for systematic forest health monitoring. Given the diffuse nature of the observed phenomenon, the use of a supervised method (here Random Forest) proved necessary. A particular feature of our approach is the development of a multi-year model that is stable enough to be used for several consecutive years. There are still many opportunities for improvement. In particular, it would be interesting to automate the data expansion stage to replace the (rigid) rules currently used. Mapping at national scale is another perspective, given the relative robustness of the model for prediction over several years and over areas outside the learning region. Switching to a deciduous model, not specific to oak, could also provide a more general production. Finally, the addition of Sentinel-1 imagery could be done to investigate whether the complementarity of the two satellites is relevant to our use case.
Acknowledgements
Our warmest thanks go to the iota2 team at CESBIO (A. Vincent, H. Touchais, M. Fauvel, J. Inglada, etc.) and to CNES. We would also like to thank the various participants in the RECONFORT project (non-exhaustive list): ONF (J. Mollard, A. Jolly, M. Boulogne), CNPF (M. Chartier, J. Rosa), Unisylva (E. Cacot, M. Bastien), DSF (T. Belouard, FX. Saintonge, S. Laubray), INRAe (JB. Féret, S. Perret) and EI de Purpan (V. Cheret and JP. Denux). This work was supported by the Ambition Recherche et Développement (ARD) SYCOMORE program funded by the Centre-Val de Loire region.

11:18
gvSIG Team: Program of 19th International gvSIG Conference (online) is now available, and registration (free of charge) period is open
sur Planet OSGeo

Free registration period for the 19th International gvSIG Conference is now open. The Conference is an online event, and it will be held from November 29th to 30th.

The full program of the Conference is available on the event website, where registration to the different sessions can be done.

The webinar platform allows to connect to the webinars from any operating system, and in case you can’t follow them, you will be able to watch them at the gvSIG Youtube channel later.

In reference to workshops, all the information about cartography and gvSIG version to install will be published at the gvSIG blog before the conference.

Don’t miss it!
11:09
gvSIG Team: Programa e inscripciones gratuitas abiertas para las 19as Jornadas Internacionales gvSIG (online)
sur Planet OSGeo

Ya están abiertas las inscripciones gratuitas para las 19as Jornadas Internacionales gvSIG, que se celebrarán de forma online los días 29 y 30 de noviembre.

El programa completo está disponible en la página web del evento, desde donde se puede realizar la inscripción a cada una de las ponencias.

La plataforma de webinar permite conectarse desde cualquier sistema operativo, y en caso de no poder seguirlos en directo se podrán ver a posteriori, ya que se publicarán en el canal de Youtube del proyecto al igual que en años anteriores.

Respecto a los talleres, en el blog de gvSIG informaremos sobre la cartografía a descargar para seguirlos, así como de la versión de gvSIG a instalar.
21 November 2023
16:52
SIG Libre Uruguay: Las TIG ante los nuevos retos globales en un contexto cambiante. Actas de la XVIII CONFIBSIG 2023. Cáceres, 16-19 de mayo de 2023
sur Planet OSGeo

Descarga de la publicación aquí

9:00
Observatoire cartographique des données territoriales de Vallée Sud - Grand Paris
sur Makina Corpus

Nouveautés 2023 ?
Vallée Sud Grand Paris a fait appel à Makina Corpus pour une mise à jour de son observatoire.
20 November 2023
18:20
Développeur-Développeuse Front-end
sur Makina Corpus

Contrat : CDI
Lieu : Toulouse
15:00
Découvrez Alpes rando, la refonte de la plateforme unifiée de sentiers de randonnées dans les Alpes
sur Makina Corpus

Un projet de long court...
Les Hautes Alpes, renommées pour leurs paysages grandioses et leurs innombrables possibilités de randonnées, sont depuis longtemps un lieu privilégié pour les amoureux de la nature et les amateurs de plein air.

9:30
CybergeoNetworks 2: una robusta aplicación de aprendizaje para publicaciones científicas
sur Cybergeo

Con motivo del coloquio desarrollado el 26 de mayo del 2016 para celebrar el 20º aniversario de la revista Cybergeo, cuatro jóvenes investigadores unieron fuerzas para desarrollar una aplicación altamente pionera para el análisis geográfico, estadístico y semántico de datos extraídos del conjunto de datos de Cybergeo (texto completo y metadatos) y además datos en línea asociados a la revista entre 1996 y 2015 (motores de búsqueda, Tweets, citas y publicaciones), naciendo así el sitio CybergeoNetworks. Fieles a nuestra política de publicación a acceso abierto, tal aplicación permite localizar visual y estadísticamente datos referentes a los autores de los artículos de la revista, países estudiados y citados, o incluso quien estudia qué. Compuesto por cuatro módulos interactivos, la información proporcionada por sus análisis es remarcable. Por ejemplo, es posible agrupar países por redes semánticas, visualizar y asociar a estos según la procedencia de los autores (información que Lode...
9:30
CybergeoNetworks 2: a deep learning application for scientific publishing
sur Cybergeo

On the occasion of the conference held on May 26, 2016 to celebrate the 20th anniversary of Cybergeo magazine, four young researchers joined forces to develop a pioneering application for geographic, statistical and semantic analysis of data extracted from the Cybergeo corpus (full text and metadata), as well as online data associated with the magazine between 1996 and 2015 (search engines, tweets, citations and publications). The CybergeoNetworks website was born. In keeping with our open-access publishing policy, it provides visual and statistical access to data on the location of the authors of the journal's articles, the countries studied and cited, and who is studying whom? Comprising four interactive modules, the information provided by its analyses is impressive. For example, it is possible to group countries by semantic networks, to visualize the states to which authors are affiliated (information that Lodel, OpenEdition's publishing software, does not provide in its current...
9:30
CybergeoNetworks 2 : une application d’apprentissage profond au service de la publication scientifique
sur Cybergeo

A l’occasion du colloque du 26 mai 2016 pour la célébration des 20 ans de la revue Cybergeo, quatre jeunes chercheurs se sont associés pour développer une application tout à fait pionnière d’analyses géographique, statistique et sémantique des données extraites du corpus de Cybergeo (plein texte et métadonnées), mais aussi des données en ligne associées à la revue entre 1996 et 2015 (moteurs de recherche, tweets, citations et publications). Le site CybergeoNetworks, est né. Fidèle à notre politique de publication en accès ouvert, il permet de situer visuellement et statistiquement des données sur la localisation des auteurs des articles de la revue, les pays étudiés et cités, ou encore qui étudie qui ? Composée de quatre modules interactifs, l’information fournie par ses analyses est impressionnante. A titre d’exemple, il est possible de regrouper des pays par réseaux sémantiques, de visualiser les États auxquels sont affiliés les auteurs (une information que Lodel, le logiciel d’éd...
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Philipp Ther, 2023, How the West Lost the Peace: The Great Transformation Since the Cold War, Polity, 304 p.
sur Cybergeo

À toutes les époques, il y eut des voix pour espérer faire une seule nation de l'humanité entière, mais à chaque génération le rêve recule un peu plus. La chute du mur de Berlin, en 1989, a soulevé de nouveaux espoirs, qui ont amené Habermas (1994) à préparer comme objectif à long terme "de surmonter progressivement la division et la stratification sociale de la société mondiale, sans porter atteinte aux singularités culturelles". Dans ce contexte idéalisé, développé par les médias occidentaux, la population a subi une surprise brutale lors de l’agression russe en Ukraine en 2022. Finis les rêves, il semblait qu’on avait perdu la paix, comme en d’autres temps on avait perdu la guerre.

Dans la dernière édition de son livre, paru en 2023 chez Polity (How the West Lost the Peace: The Great Transformation Since the Cold War), l’historien Philipp Ther cherche à comprendre comment cette défaite est arrivée. Gagner la paix, comme gagner la guerre, suppose des sacrifices et la prise de risqu...
9:30
Is a dense city a healthy city? A preliminary study on the interplay between urban density and air quality in Oran, Algeria
sur Cybergeo

The general consensus is that dense cities are more sustainable. However, high urban density or compact urban form may affect the health of city dwellers, more particularly when compactness is not associated with the provision of mass transit systems. This paper analyses the correlation between urban density indicators and air pollution in Oran (Algeria), a city that suffers a lack of public transport. It assesses the density of green space needed to reduce airborne pollutants in cities. The paper also examines the impacts of exposure to air pollution on respiratory mortality using a quantitative health impact assessment methodology. Findings show that population density and building density strongly correlates with air pollution, due to motorized transport and other human activities (e.g. industries, residential heating or lacking green space). Results indicate that for population density greater than 12100 inhabitants/ha with associated values exceeding 100 for building density an...
9:30
Contribution of maritime surveillance data to French Maritime Spatial Planning: between technical potential and political constraints
sur Cybergeo

Maritime Spatial Planning (MSP) is widely recognised around the world as a lever for sustainable development at sea. In practice, it is a new form of negotiation for the use of maritime space and its resources. To support shared decision-making, MSP requires information on the spatiotemporal dynamics of existing maritime activities. In this context, maritime surveillance, operated in real-time by the State (defence, fisheries monitoring) is a strategic source of data (AIS, VMS and radar) and information for planning purposes. While these data are growingly used by the scientific community, their contributions to MSP remains marginal. This article identifies the main reasons for this, drawing on 38 semi-directive interviews with French MSP stakeholders. It highlights two obstacles to the use of data for MSP: a) a limited accessibility of data for many actors, especially public ones and; b) a lack of acceptability on the part of historical users of maritime space when faced with their...
9:30
Le péage urbain de Tromsø, l’urbanisme durable à l’épreuve de la périphéricité arctique
sur Cybergeo

L’article s’intéresse au processus d’instauration du péage urbain de Tromsø, dont l’adoption très tardive (2021) pose question dans un pays qui a fait de l’exemplarité environnementale un levier d’intégration mondiale. L’article propose une lecture géohistorique du processus d’adoption du péage au prisme des relations centre-périphérie, explorant les racines de la rétivité locale aux principes nationaux de l’urbanisme durable et s’attachant à comprendre l’attachement singulier des habitants à l’automobile. À l’heure où ailleurs en Europe, la reconfiguration des relations centre/périphérie marque une autonomisation des villes face à la tutelle étatique, l’établissement du péage urbain de Tromsø se singularise par le maintien d’une forte dualité entre la centralité méridionale et sa périphérie septentrionale. L’instauration du péage signe la fin d’un régime particulier accordé à la municipalité par l’État, et révèle le changement de statut de la ville, passée, malgré elle, de marge se...
9:30
Contribution des données de surveillance maritime à la Planification de l’Espace Maritime français : entre potentiels techniques et contraintes politiques
sur Cybergeo

La Planification de l’Espace Maritime (PEM), plébiscitée autour du globe comme un levier du développement durable en mer, s’illustre en pratique comme une nouvelle forme de négociation pour l’usage de l’espace maritime et de ses ressources. Pour alimenter et conforter la prise de décisions partagées, la PEM suscite un fort besoin d’information sur les dynamiques spatiotemporelles des activités maritimes existantes. Dans ce contexte, la surveillance maritime opérée en temps réel par l’État (défense, suivi des pêches) s’inscrit comme une source stratégique de données (AIS, VMS et radar) et d’informations au profit de la planification. Si l’exploitation de ces données fait l’objet d’un intérêt croissant de la part de la communauté scientifique, leur contribution effective à la planification en mer demeure marginale. Cet article en identifie les principales raisons à partir d’une enquête par entretiens semi-directifs réalisée auprès de 38 acteurs de la PEM française. Il met en lumière d...
9:30
La dialectique entre activités informelles et action de l’État dans la construction territoriale des grands espaces : le cas de l’orpaillage dans l’intérieur de la Guyane française
sur Cybergeo

Les grands espaces, ou régions faiblement peuplées, se distinguent par une série de caractéristiques spécifiques et notamment par un contrôle incomplet de la part des États. Cela ouvre des brèches pour l’exercice de pratiques qui, si elles sont ou illégales ou à la limite de la légalité, apportent des ressources économiques, des connaissances sur les territoires concernés et participent finalement à la domination, voire à la conquête des zones concernées par les États. Bien qu’invisibles ou réprimées, ces activités informelles influencent donc, directement ou indirectement, la construction officielle, symbolique et matérielle du territoire. Cet article analyse la pratique de l’orpaillage en Guyane selon cette perspective. En analysant le jeu dialectique entre contrôle formel du territoire et exploitation informelle des ressources, il met en relief la contribution des activités informelles à l’exploration, à la formation des frontières et à la gouvernance de l’intérieur de ce territo...
9:30
Alexandre Grondeau, Altermétropolisation : une autre vi(ll)e est possible, Aix-en-Provence, La Lune sur le toit, collection Hic et nunc, 2022, 337 p.
sur Cybergeo

La photographie en couverture de l’ouvrage illustre ce qu’Alexandre Grondeau identifie comme une "schizophrénie urbaine" : la dissociation extrême entre deux espaces proches, un immeuble d’apparence luxueuse et des habitations faites de briques et de tôles. Cette opposition iconique entre un quartier aisé et une favela de São Paulo a été immortalisée par le photographe brésilien Tuca Vieira en 2007, comme symbole des inégalités extrêmes induites par la métropolisation contemporaine. Se posant comme "clinicien" de ces villes métropolisées, Alexandre Grondeau se propose alors d’en analyser les causes et symptômes, permettant d’envisager des remèdes à sa question centrale : comment faire advenir une autre ville ?

À la croisée entre l’ouvrage de synthèse et l’essai universitaire, ce livre interroge l’avenir des espaces urbains, partant de ce que l’innovation (tant technologique que sociale) fait (et peut faire) aux territoires. Actuellement maître de conférences habilité à diriger des re...

9:00
Avec Récolt’Ô permettez à vos administrés d’estimer les économies réalisables grâce à l’eau de pluie !
sur Makina Corpus

Récolt’Ô est une application open-source inédite qui calcule le potentiel de récupération d’eau de pluie des toitures.

8:30
Vulnérabilités à l’érosion littorale : cartographie de quatre cas antillais et métropolitains
sur Mappemonde

L’érosion littorale est un phénomène naturel tangible dont la préoccupation croissante, compte tenu du changement climatique, nous a menées à travailler sur la problématique de la cartographie de certaines composantes du risque d’érosion comprenant l’étude de l’aléa et de la vulnérabilité. Les terrains guadeloupéens (Capesterre-Belle-Eau et Deshaies) et métropolitains (Lacanau et Biarritz) ont été choisis, présentant une grande diversité d’enjeux. À partir d’un assortiment de facteurs, puis de variables associées à ces notions, la spatialisation d’indices à partir de données dédiées permettrait d’aider les décideurs locaux dans leurs choix de priorisation des enjeux et de mener une réflexion plus globale sur la gestion des risques.
8:30
La construction d’une exception territoriale : L’éducation à la nature par les classes de mer finistériennes
sur Mappemonde

Les classes de mer, inventées en 1964 dans le Finistère, restent encore aujourd’hui très implantées localement. Dépassant la seule sphère éducative, ce dispositif est soutenu par des acteurs touristiques et politiques qui ont participé à positionner le territoire comme pionnier puis modèle de référence en la matière à l’échelle nationale. Tout en continuant à répondre aux injonctions institutionnelles, poussant à la construction d’un rapport normalisé à la nature (développement durable, éco-citoyenneté), cette territorialisation du dispositif singularise la nature à laquelle les élèves sont éduqués.
8:30
L’accessibilité dans les petits espaces insulaires du Sud-Ouest de l’océan Indien
sur Mappemonde

L’analyse des parentés observées entre les petits espaces insulaires du Sud-Ouest de l’océan Indien nous a conduits à mettre en évidence cinq spécificités de l’accessibilité insulaire. À partir de ces traits fonctionnels, le but poursuivi par cette étude est donc de modéliser l’accessibilité insulaire. Pour ce faire, nous examinons la nodalité et la réticularité des ports et aéroports insulaires régionaux.
8:30
La morphologie de la ligne de flux. Une nouvelle variable visuelle issue du système de Cartes figuratives de Minard
sur Mappemonde

Les travaux de Charles-Joseph Minard (1781–1870) sur la cartographie des flux et des « mouvements de transports » sont historiquement reconnus. Unanimement salués, ils font l’objet de mentions régulières voire d’anthologies, mais qui s’intéressent davantage à l’image qu’à la méthode mise en œuvre. L’examen de la fabrique de son « système de Cartes figuratives » nous conduit à présenter les apports fondamentaux de Minard sur la sémiologie cartographique des flux/mouvements, à révéler l’ancrage théorique, méthodologique et conceptuel de ces cartes. L’analyse de la forme perçue sur la carte du dessin de la ligne de flux nous pousse à introduire une nouvelle variable visuelle : la morphologie.
8:30
Atlas des phares du bout du monde, Autrement, 2021
sur Mappemonde

« L’Atlas des phares du bout du monde » est l’une des traductions (il y en aurait onze) du Breve Atlas de los Faros del Fin del Mundo paru en 2020 aux éditions Menguantes. L’auteur, graphiste de métier, déclare dans son avant-propos qu’il est « loin d’être un expert en la matière » et que c’est la rencontre fortuite entre son envie de faire un de ces « atlas poétiques (…) capables de vous transporter dans des lieux reculés depuis le confort de votre canapé », ses compétences de graphiste et un travail qu’il a dû faire, au cours duquel il a dessiné des phares qui ont été la source de son inspiration.

L’ouvrage présente 34 phares qui sont, d’abord, tous localisés sur une belle carte du monde, sans limite étatique, réalisée dans des tons bleus et jaunes pâles. Puis, chaque phare est présenté en quatre pages, toujours selon la même structure. D’abord une page de texte accompagnée de quelques informations de localisation et, en vis-à-vis, le dessin, réalisé par l’auteur, du phare dans so...
8:30
Atlas des grandes découvertes. De l’Antiquité à nos jours, Autrement, 2021
sur Mappemonde

Voici un atlas pour lequel Stéphane Dugast, pour l’écriture des textes, Xemartin Laborde, pour les cartes, et Audrey Lagadec, pour les illustrations, ont été associés pour le plus grand plaisir de nos connaissances et de notre imagination. Un atlas est un recueil de cartes, celui-ci, comme l’explique l’introduction, est « une ode à la carte » offrant de célébrer les grandes découvertes qui ont rythmé l’histoire de l’humanité.

L’atlas est découpé en cinq grandes parties organisées de manière chronologique. Chaque page comporte une notice présentant un(e) ou plusieurs explorateurs/exploratrices et, le plus souvent, une carte qui décrit les voyages d’exploration effectués. Les cartes sont, en apparence, très simples avec peu de figurés, mais elles permettent une visualisation claire et précisent des faits d’exploration décrits dans la notice. Certaines pages montrent le monde « connu » à des époques plus anciennes avec des mappemondes comme celle de Ptolémée ou d’Al Idrissi. Le texte es...
8:30
Grand Atlas de l’Antiquité romaine, Autrement, 2019
sur Mappemonde

Cet atlas, rédigé par Christophe Badel et Hervé Inglebert avec des cartes de Claire Levasseur, offre un vaste panorama de l’Empire romain : de ses prémices au III^e siècle av. J.-C. aux conséquences de son effondrement au V^e/VI^e siècle.

Cet atlas commence par des cartes anciennes reconstituant la vision des anciens de leur monde. La plus célèbre de ces cartes est celle dite « Table de Peutinger », copie médiévale d’un original du II^e/IV^e siècle, qui représente le réseau routier de l’Empire romain. Page 63, l’atlas fait également figurer l’énigmatique carte romaine d’Agrippa. L’hypothèse est qu’il s’agissait d’une carte, située sur le temple du forum d’Auguste, qui aurait été créée pour montrer l’étendue de l’Empire au 1^er siècle. Carte ou liste de lieux ou de routes perdue irrémédiablement, mais dont l’existence supposée montre tout l’intérêt des autorités impériales pour leur immense territoire et pour ce moyen très pratique de se l’approprier, tout au moins par le regard, qu’est l’o...
8:30
Navigae : un outil polyvalent pour valoriser et visualiser les données géographiques patrimoniales
sur Mappemonde

Navigae est une plateforme de recherche permettant de consulter des données issues de travaux en géographie et de valoriser la dimension spatiale des données. Elle permet de diffuser et de visualiser des données numériques issues de structures de recherche ou de bibliothèques, selon des modes d’interrogation et de visualisation cartographique. Son objectif est de favoriser l’ouverture des données grâce à de nombreux services d’exposition et de récupération de données, ainsi qu’à travers un travail de curation permettant la conservation, la maintenance et l’enrichissement des données des différents fonds documentaires géographiques présents dans la plateforme.
8:30
UD-SV : Plateforme d’exploration de données urbaines à n-dimensions — Espace, Temps, Thématiques
sur Mappemonde

Cet article présente la plateforme UD-SV (Urban Data Services and Visualization) développée au laboratoire LIRIS. UD-SV regroupe un ensemble de composants s’appuyant sur du code ouvert permettant de stocker, de visualiser, d’interagir, de naviguer et d’interroger des modèles de villes 2D et 3D, mais aussi temporels. UD-SV permet d’intégrer des données spatiales, temporelles et sémantiques pour l’analyse urbaine et pour la compréhension de son évolution. Nous décrivons l’architecture, la conception, le développement et nous exemplifions avec quelques processus de calcul de UD-SV.
8:30
Geodatadays 2022
sur Mappemonde

Les GéoDataDays constituent un évènement national indépendant dédié à la géographie numérique en France. Ces rencontres annuelles sont organisées par l’AFIGÉO et DécryptaGéo depuis cinq ans, en partenariat avec une plateforme régionale d’information géographique et des collectivités territoriales. Au cœur de cet évènement, le Groupement de recherche CNRS MAGIS, consacré à la géomatique, co-organise depuis trois ans un concours, les CHALLENGES GEODATA, qui vise à faire connaître et à récompenser les innovations du monde académique par un jury indépendant et multipartites (recherche, collectivités et services de l’État, industriels). Les domaines d’application sont très variés et touchent à la collecte, au traitement, à l’analyse et à la visualisation de données géographiques (ou géolocalisées). Les six critères retenus par le jury permettent de comparer et d’évaluer ces propositions souvent hétérogènes : originalité, public ciblé, potentiel de dissémination, qualité et justesse des m...

4:50
Sean Gillies: Bear 100 retro
sur Planet OSGeo

After the race I needed some time to deal with my disappointment about rolling my ankle and dropping out at mile 61. Then I got busy looking for a new job. Writing up a retrospective that I could use in the future was delayed. Here it is, at last. I hope it's interesting and useful to others. This kind of retrospective is something I've learned to use at work. It's roughly organized around what went well, what could be better, lessons learned, in the areas of preparation and training, planning, and execution.

First of all, the race itself was great! Other runners I know said it was, and they were right. It was very well run. The aid stations were well stocked and operated smoothly. The course was beautiful and well marked. I felt constantly challenged, safe, and encouraged. I won't forget the super runnable single track down into Leatham Hollow, the springy soil made of pine needles, the ferns, and the view of the cliffs on the sunny slope. I lived just a few miles away for 10 years, but I'd never been on that trail before. The shady side of the canyon was super lush and green, almost Pacific Northwestern compared to Colorado's Front Range foothills. My memory of arriving at the Upper Richards Hollow aid station is another favorite. After a tough climb out of a wooded canyon, we were greeted on the flat bench above by an aid station volunteer holding a tray of cool, moist towels! They invited us to freshen up and enjoy a fancy brunch at clothed tables served by volunteers in tuxedo t-shirts. More than one of us expressed the feeling that it was way too early to be having hallucinations.

Much went according to plan, or better. My summer training volume was adequate and I did plenty of hiking and running on similar terrain at a similar, or higher, elevation. 4.5 weeks of fine tuning and tapering suited me well. I started the race feeling fresh. Flying to Salt Lake City and driving to Logan worked well for me. I was able to close my eyes and snooze while others transported me from Fort Collins to SLC. After landing, I had a sentimental and tasty lunch at Red Iguana, one of my favorite restaurants. In Logan, I enjoyed an entire day of hanging out with my aunt and her dog before race day.

My simple race plan was fine. I started out aiming to leave aid stations at the times that previous 36 hour finishers have, and did that. I aimed to slow down less than the typical 36 hour finisher after 40 miles, and achieved that, too. It was a good pacing plan for finishing in less than 36 hours. At each aid station I knew how many 100 calorie portions of food I should be picking up, and how many drink bottles to fill, and this was a fine fueling and hydration plan. I didn't bonk, cramp, or run out of drinks at any point, thanks to the water drop above Temple Fork.

We had exceptionally good weather on race day and night, so flaws in my equipment choices didn't surface like they might have. Tony Grove was, in fact, a good place to have a change of clothes, pants, and a sweater. Temple Fork would have been too early for warm layers. Franklin Basin would have been too late.

My feet suffered less in 60 miles of the Bear than in any of my previous 100K runs. I lubed them well before the start and changed socks at 28 and 50 miles. I had no blisters and no hot spots. I started the race in a pair of newish HOKA Mafate Speed 4 and they were fine. In the weeks before the race I had some persistent soreness on the top of my right foot and was concerned about a stress injury, but this didn't get any worse during the Bear.

I had no crew at the race, but found good company on the trail multiple times. Sometimes with other people making their own first 100 mile attempt. Sometimes with people going for their third or fourth Bear finish. I heard hilarious stories about the extreme hallucinations you can experience after 48 hours without sleep. I met a guy who graduated from Cache Valley's other high school a year after I graduated from Logan High. I ran with a woman who lost her colon to cancer a year ago. I spent four hours on the trail before Tony Grove with a guy from Boulder who runs a molecular biology center at CU. We run many of the same routes in Rocky Mountain National Park.

Now for the things that didn't go as well. Some flaws in my training and overall fitness were exposed by the Bear's long and rough downhills. I should lose at least 10 pounds. 15 might be better. I can feel the extra weight in my knees and the sensation compounded over 20+ hours. Also, I feel like I've lost foot speed and spatial sense over the last year or so. Three years ago my favorite fitness trainer went out of business and exercises like skaters and box jumps fell out of my repertoire. I believe that I can improve my proprioception by bringing these kinds of exercises back. If I can, I should be better able to dodge impacts instead of absorbing them.

My stomach was fine at the Bear, but I struggled with lower intestinal trouble from miles 20-40. I had to make a lot of stops in the trees, used up my supply of toilet paper, and had to resort to various leaves. Burdock is my friend in this situation. It wasn't the end of the world, but was a distraction. I don't know what the cause was. In the interest of keeping things simple, I had decided to go with the race's drinks instead of bringing, and mixing, my own, but I didn't train with them beforehand. Gnarly Fuel2O treated me well enough at Kettle Moraine, so I felt safe at the Bear. I started the race with 3 bottles of GU Roctane because I spaced packing some Tailwind mix for my initial bottles. I've never tried this stuff before. It has more ingredients than Taillwind or VFuel, my staples, including taurine. Maybe that was the culprit? I can only speculate. As I said, this was not a problem that would have prevented me from finishing.

Long descents in the dark made my brain and eyes tired. I was not fully prepared for this. I had a 350 lumen light on my belt and 500 lumens on my head. This was fine for 9 hours at Kettle Moraine in June, but not great for 12 hours at the Bear. I'll bring more light next time. Why spend energy trying to figure out mysteries on the trail that could be solved by better illumination?

Without a crew, my stop at Tony Grove to change clothes and get set for seven more hours of night running was overly long. I wonder if I'd left 20-30 minutes earlier I might have reached Franklin Basin without incident? At the very least, I'd have reached Franklin Basin that much sooner. A crew wouldn't have helped earlier, but would have helped at 50 miles when I was trying to change clothes, stay warm, and get fed simultaneously. It was mentally tiring at a moment where I was already mentally tired.

I've mentioned before that I left Tony Grove alone at 11 pm and had a sprained ankle at 1 pm. I was out there by myself and am not sure what happened. I could have fallen asleep on my feet; this has been known to happen. Having a pacer could have helped get me to Franklin Basin and beyond in good shape. Being able to follow someone with fresh eyes and a fresh mind would have helped with the issues I mentioned two paragraphs above. It's always easier to follow than to break trail. Even without a pacer, if I'd been in a small group I could have done some leading and some following. This would have been good. And I think getting out of Tony Grove earlier would have made it more likely to join such a group.

In hindsight, I should have had some plan for resting or napping. At 20 hours, I was more groggy than I expected, perhaps because I was alone with nothing but my breath, footsteps, and sleepy thoughts. Recently, a friend of mine shared his tactic of laying down on the trail for short naps, to be woken by the next runner 5-10 minutes behind. This issue is very connected to the previous ones. With less exertion, there is less need to nap. Even if I solve other problems, I bet I'll still run into the need to shut my eyes at 3 or 4 am. I'm going to think about this for next year.

Lastly on the could-have-gone-better front, how about my reaction to my ankle injury? My fuzzy recollection is that I came to full consciousness with a painful and unstable ankle in the dark at 1 am, a mile from the Franklin Basin aid station. I was concerned and went gingerly over that mile, and my plan was to try 15-20 minutes of elevation and compression before deciding whether to continue. I wasn't otherwise physically tired, hungry, or thirsty. My ankle became more swollen and painful while I was off my feet, and after 30 minutes I concluded that I could could not continue.

What if I had not stopped and just grabbed some hot food and kept going? The worst case scenario would have been hiking some small way toward the next aid station and having to return to Franklin Basin, with some damage done to my ankle. What if I had been able to hobble 8 miles to the Logan River aid station and continue slowly from there? I've run through mild sprains several times this year, and have endured worse grade 2 sprains than this one, yes, but not this year. Being alone out there make it harder to push on. If I was pacing myself, I may have been able to convince myself to take a shot at continuing. I think dropping out was 99% the right decision overall. My chance of making it another 8 miles to Logan River was maybe 50%, though? It's hard to say.

I learned two lessons. The TSA says no hiking poles allowed in carry on luggage! I had to leave mine behind at DEN and get new poles at the Farmington REI after leaving SLC. I won't make this mistake again.

While I was mentally prepared for the possibility of dropping out of the race, I did not have any plan for getting back to town after I did so! After two hours of sitting by the campfire at Franklin Basin I did finally meet someone who was heading directly back down the canyon to Logan.

As I said earlier, things mostly went my way. Except for some bad luck and a misstep I believe I would have finished. Registration for the 2024 edition of the Bear opens on December 1. I'm going to try again with more or less the same simple plan, stronger ankles, more light, and fewer distractions.
2:41
Sean Gillies: Status update
sur Planet OSGeo

Finally, I have a professional update. I started work at TileDB on Wednesday. I'll be working from Fort Collins alongside colleagues around the world. I know a slice of TileDB's market, dense multi-dimensional arrays like earth observation data, well, but have a lot to learn about genetic data, embeddings, and storing graphs in adjacency matrices. I expect this to be both challenging and fun. I'll post more about it once I'm settled in.

I'll be resuming work on open source projects, which I've paused while job hunting, soon!
2:00
PostGIS Development: PostGIS Patch Releases
sur Planet OSGeo

The PostGIS development team is pleased to provide bug fix and performance enhancements 3.4.1, 3.3.5, 3.2.6, 3.1.10, 3.0.10 for the 3.4, 3.3, 3.2, 3.1, 3.0 stable branches.

17 November 2023
18:02
Accès aux données non libres sur la Géoplateforme
sur Toute l’actualité des Geoservices de l'IGN

L’accès aux données non libres se fait sur la Géoplateforme via des points d’accès privés soumis à un contrôle des accès

14:00

Free and Open Source GIS Ramblings: Adding basemaps to PyQGIS maps

sur Planet OSGeo

In the previous post, we investigated how to bring QGIS maps into Jupyter notebooks.

Today, we’ll take the next step and add basemaps to our maps. This is trickier than I would have expected. In particular, I was fighting with “invalid” OSM tile layers until I realized that my QGIS application instance somehow lacked the “WMS” provider.

In addition, getting basemaps to work also means that we have to take care of layer and project CRSes and on-the-fly reprojections. So let’s get to work:

from IPython.display import Image
from PyQt5.QtGui import QColor
from PyQt5.QtWidgets import QApplication
from qgis.core import QgsApplication, QgsVectorLayer, QgsProject, QgsRasterLayer, \
    QgsCoordinateReferenceSystem, QgsProviderRegistry, QgsSimpleMarkerSymbolLayerBase
from qgis.gui import QgsMapCanvas

app = QApplication([])
qgs = QgsApplication([], False)
qgs.setPrefixPath(r"C:\temp", True)  # setting a prefix path should enable the WMS provider
qgs.initQgis()
canvas = QgsMapCanvas()
project = QgsProject.instance()
map_crs = QgsCoordinateReferenceSystem('EPSG:3857')
canvas.setDestinationCrs(map_crs)

print("providers: ", QgsProviderRegistry.instance().providerList())

To add an OSM basemap, we use the xyz tiles option of the WMS provider:

urlWithParams = 'type=xyz&url=https://tile.openstreetmap.org/{z}/{x}/{y}.png&zmax=19&zmin=0&crs=EPSG3857'
rlayer = QgsRasterLayer(urlWithParams, 'OpenStreetMap', 'wms')  
print(rlayer.crs())
if rlayer.isValid():
    project.addMapLayer(rlayer)
else:
    print('invalid layer')
    print(rlayer.error().summary())

If there are issues with the WMS provider, rlayer.error().summary() should point them out.

With both the vector layer and the basemap ready, we can finally plot the map:

canvas.setExtent(rlayer.extent())
plot_layers([vlayer,rlayer])

Of course, we can get more creative and style our vector layers:

vlayer.renderer().symbol().setColor(QColor("yellow"))
vlayer.renderer().symbol().symbolLayer(0).setShape(QgsSimpleMarkerSymbolLayerBase.Star)
vlayer.renderer().symbol().symbolLayer(0).setSize(10)
plot_layers([vlayer,rlayer])

And to switch to other basemaps, we just need to update the URL accordingly, for example, to load Carto tiles instead:

urlWithParams = 'type=xyz&url=http://basemaps.cartocdn.com/dark_all/{z}/{x}/{y}.png&zmax=19&zmin=0&crs=EPSG3857'
rlayer2 = QgsRasterLayer(urlWithParams, 'Carto', 'wms')  
print(rlayer2.crs())
if rlayer2.isValid():
    project.addMapLayer(rlayer2)
else:
    print('invalid layer')
    print(rlayer2.error().summary()) 
    
plot_layers([vlayer,rlayer2])

You can find the whole notebook at: [https:]]

10:00
TerraObs, l'Observatoire de l'immobilier commercial de Lunéville
sur Makina Corpus

TerraObs est l'outil de visualisation cartographique, en temps réel, de l'état d’occupation des locaux commerciaux en centre-ville de la ville de Lunéville.

16 November 2023
10:00
Lutra consulting: 3D Tiles in QGIS
sur Planet OSGeo
Earlier this year, in collaboration with North Road we were awarded a grant from Cesium to introduce 3D tiles support in QGIS. The feature was developed successfully and shipped with QGIS 3.34.

In this blog post, you can read more about how to work with this feature, where to get data and how to display your maps in 2D and 3D. For a video demo of this feature, you can watch Nyall Dawson’s presentation on Youtube.
What are 3D tiles?
3D tiles are a specification for streaming and rendering large-scale 3D geospatial datasets. They use a hierarchical structure to efficiently manage and display 3D content, optimising performance by dynamically loading appropriate levels of detail. This technology is widely used in urban planning, architecture, simulation, gaming, and virtual reality, providing a standardised and interoperable solution for visualising complex geographical data.

Examples of 3D tiles:

Data from Swisstopo [https:]
Washington - 3D Surface Model (Vricon, Cesium) 3D tiles in QGIS
To be able to use 3D tiles in QGIS, you need to have QGIS 3.34 or later. You can add a new connection to a 3D tile service from within the Data Source Manager under Scene:

Adding a new 3D tile service from Data Source Manager in QGIS
Alternatively, you can add the service from your Browser Panel:

3D tiles data provider in the Browser panel
To test the feature, you can use the following 3D tiles service:
```
Name: Bathurst
URL: [https:] 
```
Creating a new connection to a 3D tiles service
You can then add the map from the newly generated connection to QGIS:

Adding a new 3D tiles to QGIS
By default, the layer is styled using texture, but you can change it to see the wireframe mesh behind the scene:

3D tiles’ mesh wireframe
You can change the mesh fill and line symbols similar to the vector polygons. Alternatively, you can use texture colors. This will render each mesh element with the average value of the full texture. This is ideal when dealing with a large dataset and want to get a quick overview of the data:

3D tiles with texture color for meshes
To view the data in 3D, you can open a new 3D map. Similar to 2D map, by zooming in/out, finer resolution tiles will be fetched and displayed:
Using data from Cesium ion
Cesium ion is a cloud-based platform for managing and streaming 3D geospatial data. It simplifies data management, visualisation, and sharing.

To add 3D tiles from Cesium ion, you need to first sign up to their service here: [https:]

Under Asset Depot, you will see a catalogue of publicly available datasets. You can also upload your own 3D models (such as OBJ or PLY), georeference them and get them converted to 3D tiles.

You can also add one of the existing tile service under [https:]] and select the tile service and then click on Add to my assets:

Adding an existing dataset to your Cesium ion assets
You can use the excellent Cesium ion plugin by North Road from the QGIS repository to add the data to QGIS:

Adding Cesium ion assets to QGIS Working with Google 3D data
In addition to accessing Google Photorealistic 3D tiles from Cesium ion, you can also add the tiles directly in QGIS. First you will need to follow the instructions below and obtain API keys for 3D tiles: [https:]]

During the registration process, you will be asked to add your credit card details. Currently (November 2023), they do not charge you for using the service.

Once you have obtained the API key, you can add Google tiles using the following connection details:

Adding Google Photorealistic tiles in QGIS Notes and remarks
- Adjusting map extents for large scenes
When dealing with large scenes, map extents should be set to a smaller area to be able to view it in 3D. This is the current limitation of QGIS 3D maps as it cannot handle scenes larger than 500 x 500 km.

To change the map extent, you can open Project Properties and under View Settings change the extent. In the example below, the map extent has been limited only to a part of London, so we can view Google Photorealistic tiles in the 3D map without rendering issues.

Limiting project extent in QGIS
3D tiles from Google in QGIS
- Network cache size
If you are handling a large dataset, it is recommended to increase network cache size to 1 GB or more. The default value in QGIS is much lower and it results in slower rendering of the data.

Increasing Cache size in QGIS for faster rendering
- Overlaying other 3D data
When you try to overlay other data sets on top of a global 3D tiles, the vertical datum might not match and hence you will see the data in the wrong place in a 3D map. To fix the issue, you may need to use elevation offsetting to shift the data along the Z axis under Layer Properties:

Offsetting elevation of a layer in QGIS Future works
This is the first implementation of the 3D tiles in QGIS. For the future, we would like to add more features for handling and creation of the 3D tiles. Our wishlist in no particular order is:
- Globe view: QGIS 3D cannot handle large scenes or unprojected views.
- More advanced styling of meshes: as an example, users will be able to create their own style.
- 3D In-door navigation: as an example users will be able to navigate inside buildings and potentially it will bring BIM data closer to QGIS
- Generation of 3D tiles inside QGIS: adding a processing tool in QGIS to generate 3D Tiles from your map data.
Styling of 3D tiles (image from [https:]
If you would like to see those features in QGIS and want to fund the efforts, do not hesitate to contact us.
15 November 2023
20:16
Free and Open Source GIS Ramblings: MovingPandas v0.17 released!
sur Planet OSGeo
Over the last couple of months, I have not been posting release announcements here, so there is quite a bit to catch up.

The latest v0.17.2 release is now available from conda-forge.

New features (since 0.14):
- Improved MovingFeatures MF-JSON support
  - Ability to parse a MovingFeatureCollection from a json file #330
  - GeoDataFrame to MF-JSON #325
  - Adding read_mf_dict function #357
- New OutlierCleaner #334
- Faster stop detection #316
- New arrow markers to indicate trajectory direction in plots fb1174b
- Distance, speed, and acceleration unit handling #295
- New aggregation parameter (agg) for to_traj_gdf() 5745068
- New get_segments_between() for TrajectoryCollection #287
Behind the scenes:
- We now have a dedicated Github organization: [https:]] that houses all related repositories
- And we finally added [https] support to the website
As always, all tutorials are available from the movingpandas-examples repository and on MyBinder:

If you have questions about using MovingPandas or just want to discuss new ideas, you’re welcome to join our discussion forum.

16:09
OGC India Forum 2023: Key Highlights from Hyderabad
sur Open Geospatial Consortium (OGC)

A meeting of the OGC India Forum was held on October 18, 2023, in Hyderabad, where over 40 experts from government, industry, and academia met to discuss the future of geospatial technologies in India. With its booming tech industry, Hyderabad provided an apt backdrop for discussions on innovation and standards in the geospatial realm.

The event was supported by the following organizations: The Association of Geospatial Industries (AGI India), which represents India’s geospatial private sector capabilities; the Bureau of Indian Standards (BIS), the national standards body that underpins technical excellence; and Geospatial World, a media company and the host for GeoSmart India 2023, where the forum was organized.

A pivotal moment at the event was the unveiling of the OGC India Forum’s new Charter, heralding a renewed commitment to advancing geospatial standards and innovation within the Indian context. Also at the Forum, OGC and AGI India renewed their partnership in line with the policy priorities of India.
Harsha Madiraju, OGC, and Sreeramam GV, AGI India, exchanging the partnership agreement.
The forum facilitated a series of expert-led panels, dissecting the latest trends, challenges, and opportunities in the geospatial and Earth Observation sectors. It provided a platform for participants to contribute insights and actively shape the Forum’s committees and future directives.
Emphasizing the Economic Value of Geospatial Standards
Harsha Madiraju, Lead – OGC India Forum, set the stage with a presentation on the economic impact of standards in geospatial technologies. Citing the 2012 ISO publication on Standards and Economic Growth, he highlighted the positive correlation between the proliferation of standards and national economic development. This underscores the importance of investment in geospatial interoperability and its tangible benefits to industries and economies.
Harsha Madiraju, Lead – OGC India Forum, delivering his opening address.
From the Indian Context, Harsha said that we need proven methodologies and best practices for implementing Standards in India’s diverse and complex landscape. From this perspective, he said, the “Guide to the Role of Standards in Geospatial Information Management” prepared by ISO/TC 211, OGC, and IHO, and endorsed by UN-GGIM, provides a reliable framework around geospatial standards implementation. Quoting the guide, he said the Indian community can refer to the Goal-based Approach to geospatial standards implementation, where different maturity levels from Tier 1 to Tier 4 are prescribed.
Goal-based Approach to geospatial standards implementation
Harsha said about the interoperability scenario in India: “Our data and systems are not yet fully interoperable, and our community is at varying stages of maturity compared to more developed geospatial ecosystems. The opportunity here is immense. It’s not just about sharing maps: it’s about evolving towards a spatially enabled nation where we can take advantage of the authoritative datasets coming up for India.”

He further called for collaboration by saying “In a country like India, with its unique challenges and opportunities, the role of standards in accelerating the maturity of our technology ecosystems is crucial. At OGC India Forum, we aim to work on standards, compliance, and innovation. It’s not just the responsibility of a few: it’s a collective endeavor. Your expertise and contributions can shape the future of geospatial technology in India.”

Concluding his talk, he said, “We have the framework, the global endorsement, and, most importantly, a community willing to drive change. Let’s invest wisely in standards to shape a future that benefits us all.”
Panels and Discussions for India – Tech Trends, Adoption of Standards, and Academic Perspectives.
The event then proceeded with three panels on the following topics:
Panel on Geospatial and Earth Observation Technology Innovation in India
The panel discussed India’s contributions to geospatial and Earth Observation technologies and the possible advancements that may come from the Indian government, private sector, and especially start-ups. The session also discussed the untapped sectors and applications that these technologies could significantly impact. Finally, the discussions identified key challenges in technology adoption and scalability and discussed how the community can help overcome these challenges.
Panelists on Geospatial and Earth Observation Technology Innovation in India, along with along with AGI and OGC Staff (on the right side)
Rajesh Mathur, Esri India, said that federated GIS architecture is a new paradigm enabling collaboration and data sharing. According to him, India’s National Geospatial Policy 2022 is a progressive and transformational initiative that will accelerate the adoption of geospatial technologies by encouraging collaboration and data sharing among all the stakeholders. This opens up exciting opportunities for GIS deployment – both on the Cloud and in a federated architecture. Data partnerships enabled by Standards and interoperability will allow users from multiple organizations to collaborate and share content through trusted and secure workflows.

Shubham Sharma, GalaxEye Space, said that the OGC India Forum provided a great platform to interact with the panel members and the audience with diverse experiences. With discussions ranging from the evolution of technology in the geospatial sector to standardization, the discussions centred around the implementation of OGC standards in India. With the continued expansion of the geospatial sector, Open Standards will pave a smoother road for building scalable and sustainable products.

S S Raja Shekar, National Remote Sensing Centre (NRSC), said OGC standards have changed how geospatial data and applications are handled, providing simple solutions to complex exchanges of data and services. A growing focus on standards in the space domain and in sectors of priority to the country where geospatial applications are critical is needed. This session also brought perspectives and ideas from entrepreneurs and proved to be highly constructive.

Akshay Loya, Founder & CEO of GISKernel Technologies, said “I was asked how I envision the evolution of the geospatial industry in India. My response was straightforward: we, as young founders, can share our insights alongside esteemed figures on a platform like OGC India Forum, which is a significant evolution in our industry.”
Panel on Geospatial and Earth Observation Standards in India
The second panel examined the current adoption of BIS/ISO and OGC standards in India, focusing on areas where they are most – and least – implemented. The panel also discussed the avenues available for contributing to geospatial and Earth Observation Standards, both at a national and international level. The session then also delved into the compliance and procurement aspects.
Speakers at the Panel on Geospatial and Earth Observation Standards
Abhiroop Bhatnagar, Lead, Platform at Aereo, said “I would like to share the message regarding the importance of cloud-native geospatial formats. The essential property of cloud-native formats is that they allow data delivery directly from cloud-based storage to clients without involving any compute in between – for example consider direct requests to S3 from web browsers. The world is quickly transitioning towards a cloud-based data-delivery paradigm. Under this new paradigm, if we have to ensure scalability along with preserving efficiency, it is critical to utilize cloud-native geospatial formats. In that respect, Cloud-optimized GeoTIFF has already been accepted as an OGC standard and is well-supported by the ecosystem. We at Aereo have already integrated support for COGs in our WebGIS platform, Aereo Cloud. We actively promote it as the preferred format for raster data within the industry and the government.”

Ashish Tiwari, Joint Director of the Bureau of Indian Standards (BIS), said that ISO/TC211 and OGC have a strong history of collaboration on geospatial standards. BIS, through the Geospatial Information Sectional Committee, has adopted over twelve Standards and is working on adopting fourteen more. BIS looks forward to collaborating with the OGC community, as this will be valuable in many areas where BIS can understand recent trends and best practices.

Participating in this session, Vishnu Chandra, Former Deputy Director General & HOG -NIC, Geospatial Technology Services Division, said that open geospatial Standards are the core foundation of geospatial information interoperability and play a crucial role through open geospatial APIs for the exchange of data and Service Delivery. OGC India Forum can play a critical role in bringing the global OGC standards to India in collaboration with various government, industry, and academic stakeholders.

OGC standards have a significant role given the context of the Indian National Geospatial Policy 2022, which calls for the creation of the National Geospatial Foundation around 14 Thematic Areas to support UN-GGIM objectives associated with the UN Sustainable Development Goals. These themes also have relevance in digital public infrastructures and platforms for specific governance, planning, and service delivery in the Indian context. Therefore, each data theme needs Standards implemented across the entire geospatial information value chain.
Panel providing Perspectives from Academia & Research on Innovation and Standards in India
The final panel discussed the current awareness and usage of geospatial and Earth Observation Standards in academic programs and research projects. The discussions explored the extent to which Standards are integrated into educational curricula. The panel also delved into how academic and research institutions can contribute to standards development, implementation testing, and even lead the creation of new standards.
Speakers at the Panel Providing Perspectives from Academia & Research
Dr. Sanjay Chaudhary, Professor and Associate Dean, Ahmedabad University, School of Engineering and Applied Science, said “There is a lack of interest in geospatial technologies in India from the students in the broader computer science and IT community. Helping them understand the value and opportunities available in this sector will be important. With the evolution of OGC Standards into APIs and the availability of developer resources, we can make these students learn and invest in this direction, which will be valuable to their professions and bring skilled resources to India.”

Professor Dr. Karbhari Vishwanath Kale, Vice-Chancellor of Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, Maharashtra, said “Through our engagement with the Bureau of Indian Standards, I have been making personal efforts to bring awareness in our professional circles on the value and importance of Standards. As an OGC Member, our university closely follows the development of international Standards by OGC. Some of our core interests lie in the intersection of multi- and hyper-spectral sensor data for agriculture, material detection, disaster management, and health care. We must invest in developing sensors and data dissemination platforms and make applications and data more broadly available, specifically in agriculture. In line with the Indian National Education Policy 2020, our university has set goals to establish and design the course curriculum with a research lab where IoT, sensors, and Standards can be brought together for the overall benefit of end users. We look forward to collaborating with the international network of OGC and taking this on.”

Dr. Sumit Sen, GISE Hub, IIT Bombay, said “Our Hub is established as an interdisciplinary project funded by the Department of Science and Technology, Govt. of India, to enable the research and development of geospatial technology solutions. In turn, our hub works with many academic and research organizations to further fundamental research in GIScience. Standards and Interoperability is one of the focus areas, and we continue to work closely with OGC and other stakeholders like IIT Kanpur, IIT Tirupati, and IIIT Hyderabad in enabling the geospatial community with the right skills on OGC Standards and APIs. The Winter School is one of India’s unique learning programs on geospatial standards. It is a fifteen-day on-campus training program supported by OGC Staff and Members. It provides hands-on and practical training on OGC Standards to India’s government, private, and research organizations. The 2023 program will be on the OGC API Stack. We will continue our international engagement and work closely with the OGC India Forum community.”
Next Steps
The OGC India Forum 2023 event was a success. The event concluded with a broader agreement around the need to identify areas of engagement in the coming days. It was agreed that there is a need for partnerships and to organize events, training programs, and policy roundtables on geospatial standards, in collaboration with OGC Members and Partners in India and the broader community.

The post OGC India Forum 2023: Key Highlights from Hyderabad appeared first on Open Geospatial Consortium.

12:21
Geotrek, 11 ans d’une communauté grandissante
sur Makina Corpus

Cet article présente l'organisation communautaire du logiciel libre Geotrek et met en avant quelques ingrédients, qui selon nous, permettent de fédérer et donc de participer à la réussite d'un logiciel libre.

14 November 2023
17:27
Markus Neteler: Translating Open Source Software with Weblate: A GRASS GIS Case Study
sur Planet OSGeo
Open source software projects thrive on the contributions of the community, not only for the code, but also for making the software accessible to a global audience. One of the critical aspects of this accessibility is the localization or translation of the software’s messages and interfaces. In this context, Weblate (https://weblate.org/) has proven to be a powerful tool for managing these translations, especially for projects such as GRASS GIS, which is part of OSGeo (Open Source Geospatial Foundation).

What is Weblate?
Weblate is an open source translation management system designed to simplify the translation process of software projects. It provides an intuitive web interface that allows translators to work without deep technical knowledge. This ease of use combined with robust integration capabilities makes Weblate a popular choice for open source projects.
GRASS GIS and Localization
GRASS GIS ( [https:]] ), a software suite for managing and analyzing geospatial data, is used worldwide and therefore needs to be available in many languages. The project uses Weblate, hosted by OSGeo, to manage and facilitate its translation work (see OSGeo-Weblate portal).
Marking messages for translation
Before translation work can begin, the messages to be translated must be marked for translation in the GRASS GIS source code. This is done with the gettext macro _(“…”). GNU gettext is a GNU library for the internationalization of software. Here is a simplified overview of the process:
1. Identify the strings to be translated: The developers identify the strings in the source code that need to be translated. These are usually user messages, while debug messages are not marked for translation.
2. Use the gettext macro: The identified strings are packed into a gettext macro. For example, a string “Welcome to GRASS GIS” in the source code would be changed to _(“Welcome to GRASS GIS”). This change indicates that the string should be used for translation.
3. Extraction and template generation: Tools such as xgettext are used to extract these marked strings from the source code and create a POT (Portable Object Template) file. This file is used as a template for all translations. In the GRASS GIS project the template language is English.
There are three template files in the GRASS GIS project: one with the graphical user interface (GUI) messages, one with the library functions (libs) and one with the modules (mods).
Connecting the software project to Weblate
While the POT files could be transferred to Weblate manually, we chose the automated option. The OSGeo Weblate instance is directly connected to the GRASS GIS project via git (GitHub) using the Weblate version control integration.

How it works in practice:
1. Developer makes a commit to the GRASS GIS repo on GitHub
2. A GitHub webhook makes a call to weblate.osgeo.org – note that it has it’s own local git repo for GRASS GIS, as it does for other OSGeo projects, with translations being managed in this Weblate instance. This local git repo is updated when the webhook is fired.
3. As messages are translated in OSGeo-Weblate, they are eventually pushed to the Weblate Github fork of GRASS GIS (the push frequency is set to 24 hours by default, i.e., new translations are collected over a day), and Weblate then triggers a pull request to the main GRASS GIS repo on GitHub.
For technical background on the OSGeo Weblate installation, see the related OSGeo-SAC Weblate page.
Translation process in Weblate
Here is how the typical translation process looks like:
- Translator registration: Registration (via OSGeo-ID) and login to the Weblate instance.
- Language selection: Select the language to be translated. If a language does not exist yet, it can be added with the approval of the project managers.
- Translation interface: Weblate provides an easy-to-use web interface where translators can view the original texts and enter their translations. If activated, machine translation can also be used here (DeepL, Google Translate, etc.). The Weblate translation memory helps to quickly translate identical and similar sentences.
GRASS GIS messages in Weblate
- Together we are better: translators can discuss translations, resolve conflicts and suggest improvements. Weblate also offers quality checks to ensure consistency and accuracy. Translations in different languages can be compared in tabular form.
Message translation comparison in Weblate (GRASS GIS project example)
- Integration with source code: Once translations are completed and checked, they are written back into the GRASS GIS source code (see above). Weblate supports automatic synchronization with source code repositories.
- Continuous updates: As the source code evolves, new strings can be marked for translation and Weblate is automatically updated to reflect these changes.
Pull request with new translations opened by Weblate in GRASS GIS Github repository
Benefits for the GRASS GIS project
By using Weblate, GRASS GIS benefits from the following advantages:
- Streamlined translation workflow: The process from tagging strings to integrating translations is efficient and manageable.
- Community engagement: Weblate’s ease of use encourages more community members to participate in the translation process.
- Quality and Consistency: Weblate ensures high quality translations through integrated quality checks and collaboration tools.
- Up-to-date localization: Continuous synchronization with the source code repository ensures that translations are always up-to-date.
Conclusion
The integration of Weblate into the GRASS GIS development workflow underlines the importance of localization in open source software. By using tools such as gettext for message tagging and Weblate for translation management, GRASS GIS ensures that it remains accessible and usable for a global community, embodying the true spirit of open source software.
Thanks
Thanks to Regina Obe from OSGeo-SAC for her support in setting up and maintaining the OSGeo-Weblate instance and for her explanations of how things work in terms of Weblate/GitHub server communication.

The post Translating Open Source Software with Weblate: A GRASS GIS Case Study appeared first on Markus Neteler | Geospatial Analysis | Remote sensing | GRASS GIS.

11:00
Makina Corpus Territoires au Salon des Maires et des Collectivités Locales 2023 !
sur Makina Corpus

Du 21 au 23 novembre, retrouvez Makina Corpus au Salon des Maires et des Collectivités Locales de Paris Porte de Versailles, sur le stand D80, Pavillon 4, secteur Tech et Transformation numérique.
13 November 2023
11:03
Makina Corpus Territoires : une nouvelle entité pour accompagner les territoires dans leur transformation numérique
sur Makina Corpus

Avec plus de 20 ans d'expertise dans la création d'applications cartographiques, Makina Corpus a toujours été un allié de confiance pour les collectivités territoriales.

9:30
CybergeoNetworks 2: una robusta aplicación de aprendizaje para publicaciones científicas
sur Cybergeo

Con motivo del coloquio desarrollado el 26 de mayo del 2016 para celebrar el 20º aniversario de la revista Cybergeo, cuatro jóvenes investigadores unieron fuerzas para desarrollar una aplicación altamente pionera para el análisis geográfico, estadístico y semántico de datos extraídos del conjunto de datos de Cybergeo (texto completo y metadatos) y además datos en línea asociados a la revista entre 1996 y 2015 (motores de búsqueda, Tweets, citas y publicaciones), naciendo así el sitio CybergeoNetworks. Fieles a nuestra política de publicación a acceso abierto, tal aplicación permite localizar visual y estadísticamente datos referentes a los autores de los artículos de la revista, países estudiados y citados, o incluso quien estudia qué. Compuesto por cuatro módulos interactivos, la información proporcionada por sus análisis es remarcable. Por ejemplo, es posible agrupar países por redes semánticas, visualizar y asociar a estos según la procedencia de los autores (información que Lode...
9:30
CybergeoNetworks 2: a deep learning application for scientific publishing
sur Cybergeo

On the occasion of the conference held on May 26, 2016 to celebrate the 20th anniversary of Cybergeo magazine, four young researchers joined forces to develop a pioneering application for geographic, statistical and semantic analysis of data extracted from the Cybergeo corpus (full text and metadata), as well as online data associated with the magazine between 1996 and 2015 (search engines, tweets, citations and publications). The CybergeoNetworks website was born. In keeping with our open-access publishing policy, it provides visual and statistical access to data on the location of the authors of the journal's articles, the countries studied and cited, and who is studying whom? Comprising four interactive modules, the information provided by its analyses is impressive. For example, it is possible to group countries by semantic networks, to visualize the states to which authors are affiliated (information that Lodel, OpenEdition's publishing software, does not provide in its current...
9:30
CybergeoNetworks 2 : une application d’apprentissage profond au service de la publication scientifique
sur Cybergeo

A l’occasion du colloque du 26 mai 2016 pour la célébration des 20 ans de la revue Cybergeo, quatre jeunes chercheurs se sont associés pour développer une application tout à fait pionnière d’analyses géographique, statistique et sémantique des données extraites du corpus de Cybergeo (plein texte et métadonnées), mais aussi des données en ligne associées à la revue entre 1996 et 2015 (moteurs de recherche, tweets, citations et publications). Le site CybergeoNetworks, est né. Fidèle à notre politique de publication en accès ouvert, il permet de situer visuellement et statistiquement des données sur la localisation des auteurs des articles de la revue, les pays étudiés et cités, ou encore qui étudie qui ? Composée de quatre modules interactifs, l’information fournie par ses analyses est impressionnante. A titre d’exemple, il est possible de regrouper des pays par réseaux sémantiques, de visualiser les États auxquels sont affiliés les auteurs (une information que Lodel, le logiciel d’éd...
9:30
Philipp Ther, 2023, How the West Lost the Peace: The Great Transformation Since the Cold War, Polity, 304 p.
sur Cybergeo

À toutes les époques, il y eut des voix pour espérer faire une seule nation de l'humanité entière, mais à chaque génération le rêve recule un peu plus. La chute du mur de Berlin, en 1989, a soulevé de nouveaux espoirs, qui ont amené Habermas (1994) à préparer comme objectif à long terme "de surmonter progressivement la division et la stratification sociale de la société mondiale, sans porter atteinte aux singularités culturelles". Dans ce contexte idéalisé, développé par les médias occidentaux, la population a subi une surprise brutale lors de l’agression russe en Ukraine en 2022. Finis les rêves, il semblait qu’on avait perdu la paix, comme en d’autres temps on avait perdu la guerre.

Dans la dernière édition de son livre, paru en 2023 chez Polity (How the West Lost the Peace: The Great Transformation Since the Cold War), l’historien Philipp Ther cherche à comprendre comment cette défaite est arrivée. Gagner la paix, comme gagner la guerre, suppose des sacrifices et la prise de risqu...
9:30
Is a dense city a healthy city? A preliminary study on the interplay between urban density and air quality in Oran, Algeria
sur Cybergeo

The general consensus is that dense cities are more sustainable. However, high urban density or compact urban form may affect the health of city dwellers, more particularly when compactness is not associated with the provision of mass transit systems. This paper analyses the correlation between urban density indicators and air pollution in Oran (Algeria), a city that suffers a lack of public transport. It assesses the density of green space needed to reduce airborne pollutants in cities. The paper also examines the impacts of exposure to air pollution on respiratory mortality using a quantitative health impact assessment methodology. Findings show that population density and building density strongly correlates with air pollution, due to motorized transport and other human activities (e.g. industries, residential heating or lacking green space). Results indicate that for population density greater than 12100 inhabitants/ha with associated values exceeding 100 for building density an...
9:30
Contribution of maritime surveillance data to French Maritime Spatial Planning: between technical potential and political constraints
sur Cybergeo

Maritime Spatial Planning (MSP) is widely recognised around the world as a lever for sustainable development at sea. In practice, it is a new form of negotiation for the use of maritime space and its resources. To support shared decision-making, MSP requires information on the spatiotemporal dynamics of existing maritime activities. In this context, maritime surveillance, operated in real-time by the State (defence, fisheries monitoring) is a strategic source of data (AIS, VMS and radar) and information for planning purposes. While these data are growingly used by the scientific community, their contributions to MSP remains marginal. This article identifies the main reasons for this, drawing on 38 semi-directive interviews with French MSP stakeholders. It highlights two obstacles to the use of data for MSP: a) a limited accessibility of data for many actors, especially public ones and; b) a lack of acceptability on the part of historical users of maritime space when faced with their...
9:30
Le péage urbain de Tromsø, l’urbanisme durable à l’épreuve de la périphéricité arctique
sur Cybergeo

L’article s’intéresse au processus d’instauration du péage urbain de Tromsø, dont l’adoption très tardive (2021) pose question dans un pays qui a fait de l’exemplarité environnementale un levier d’intégration mondiale. L’article propose une lecture géohistorique du processus d’adoption du péage au prisme des relations centre-périphérie, explorant les racines de la rétivité locale aux principes nationaux de l’urbanisme durable et s’attachant à comprendre l’attachement singulier des habitants à l’automobile. À l’heure où ailleurs en Europe, la reconfiguration des relations centre/périphérie marque une autonomisation des villes face à la tutelle étatique, l’établissement du péage urbain de Tromsø se singularise par le maintien d’une forte dualité entre la centralité méridionale et sa périphérie septentrionale. L’instauration du péage signe la fin d’un régime particulier accordé à la municipalité par l’État, et révèle le changement de statut de la ville, passée, malgré elle, de marge se...
9:30
Contribution des données de surveillance maritime à la Planification de l’Espace Maritime français : entre potentiels techniques et contraintes politiques
sur Cybergeo

La Planification de l’Espace Maritime (PEM), plébiscitée autour du globe comme un levier du développement durable en mer, s’illustre en pratique comme une nouvelle forme de négociation pour l’usage de l’espace maritime et de ses ressources. Pour alimenter et conforter la prise de décisions partagées, la PEM suscite un fort besoin d’information sur les dynamiques spatiotemporelles des activités maritimes existantes. Dans ce contexte, la surveillance maritime opérée en temps réel par l’État (défense, suivi des pêches) s’inscrit comme une source stratégique de données (AIS, VMS et radar) et d’informations au profit de la planification. Si l’exploitation de ces données fait l’objet d’un intérêt croissant de la part de la communauté scientifique, leur contribution effective à la planification en mer demeure marginale. Cet article en identifie les principales raisons à partir d’une enquête par entretiens semi-directifs réalisée auprès de 38 acteurs de la PEM française. Il met en lumière d...
9:30
La dialectique entre activités informelles et action de l’État dans la construction territoriale des grands espaces : le cas de l’orpaillage dans l’intérieur de la Guyane française
sur Cybergeo

Les grands espaces, ou régions faiblement peuplées, se distinguent par une série de caractéristiques spécifiques et notamment par un contrôle incomplet de la part des États. Cela ouvre des brèches pour l’exercice de pratiques qui, si elles sont ou illégales ou à la limite de la légalité, apportent des ressources économiques, des connaissances sur les territoires concernés et participent finalement à la domination, voire à la conquête des zones concernées par les États. Bien qu’invisibles ou réprimées, ces activités informelles influencent donc, directement ou indirectement, la construction officielle, symbolique et matérielle du territoire. Cet article analyse la pratique de l’orpaillage en Guyane selon cette perspective. En analysant le jeu dialectique entre contrôle formel du territoire et exploitation informelle des ressources, il met en relief la contribution des activités informelles à l’exploration, à la formation des frontières et à la gouvernance de l’intérieur de ce territo...
9:30
Alexandre Grondeau, Altermétropolisation : une autre vi(ll)e est possible, Aix-en-Provence, La Lune sur le toit, collection Hic et nunc, 2022, 337 p.
sur Cybergeo

La photographie en couverture de l’ouvrage illustre ce qu’Alexandre Grondeau identifie comme une "schizophrénie urbaine" : la dissociation extrême entre deux espaces proches, un immeuble d’apparence luxueuse et des habitations faites de briques et de tôles. Cette opposition iconique entre un quartier aisé et une favela de São Paulo a été immortalisée par le photographe brésilien Tuca Vieira en 2007, comme symbole des inégalités extrêmes induites par la métropolisation contemporaine. Se posant comme "clinicien" de ces villes métropolisées, Alexandre Grondeau se propose alors d’en analyser les causes et symptômes, permettant d’envisager des remèdes à sa question centrale : comment faire advenir une autre ville ?

À la croisée entre l’ouvrage de synthèse et l’essai universitaire, ce livre interroge l’avenir des espaces urbains, partant de ce que l’innovation (tant technologique que sociale) fait (et peut faire) aux territoires. Actuellement maître de conférences habilité à diriger des re...

8:30
Vulnérabilités à l’érosion littorale : cartographie de quatre cas antillais et métropolitains
sur Mappemonde

L’érosion littorale est un phénomène naturel tangible dont la préoccupation croissante, compte tenu du changement climatique, nous a menées à travailler sur la problématique de la cartographie de certaines composantes du risque d’érosion comprenant l’étude de l’aléa et de la vulnérabilité. Les terrains guadeloupéens (Capesterre-Belle-Eau et Deshaies) et métropolitains (Lacanau et Biarritz) ont été choisis, présentant une grande diversité d’enjeux. À partir d’un assortiment de facteurs, puis de variables associées à ces notions, la spatialisation d’indices à partir de données dédiées permettrait d’aider les décideurs locaux dans leurs choix de priorisation des enjeux et de mener une réflexion plus globale sur la gestion des risques.
8:30
La construction d’une exception territoriale : L’éducation à la nature par les classes de mer finistériennes
sur Mappemonde

Les classes de mer, inventées en 1964 dans le Finistère, restent encore aujourd’hui très implantées localement. Dépassant la seule sphère éducative, ce dispositif est soutenu par des acteurs touristiques et politiques qui ont participé à positionner le territoire comme pionnier puis modèle de référence en la matière à l’échelle nationale. Tout en continuant à répondre aux injonctions institutionnelles, poussant à la construction d’un rapport normalisé à la nature (développement durable, éco-citoyenneté), cette territorialisation du dispositif singularise la nature à laquelle les élèves sont éduqués.
8:30
L’accessibilité dans les petits espaces insulaires du Sud-Ouest de l’océan Indien
sur Mappemonde

L’analyse des parentés observées entre les petits espaces insulaires du Sud-Ouest de l’océan Indien nous a conduits à mettre en évidence cinq spécificités de l’accessibilité insulaire. À partir de ces traits fonctionnels, le but poursuivi par cette étude est donc de modéliser l’accessibilité insulaire. Pour ce faire, nous examinons la nodalité et la réticularité des ports et aéroports insulaires régionaux.
8:30
La morphologie de la ligne de flux. Une nouvelle variable visuelle issue du système de Cartes figuratives de Minard
sur Mappemonde

Les travaux de Charles-Joseph Minard (1781–1870) sur la cartographie des flux et des « mouvements de transports » sont historiquement reconnus. Unanimement salués, ils font l’objet de mentions régulières voire d’anthologies, mais qui s’intéressent davantage à l’image qu’à la méthode mise en œuvre. L’examen de la fabrique de son « système de Cartes figuratives » nous conduit à présenter les apports fondamentaux de Minard sur la sémiologie cartographique des flux/mouvements, à révéler l’ancrage théorique, méthodologique et conceptuel de ces cartes. L’analyse de la forme perçue sur la carte du dessin de la ligne de flux nous pousse à introduire une nouvelle variable visuelle : la morphologie.
8:30
Atlas des phares du bout du monde, Autrement, 2021
sur Mappemonde

« L’Atlas des phares du bout du monde » est l’une des traductions (il y en aurait onze) du Breve Atlas de los Faros del Fin del Mundo paru en 2020 aux éditions Menguantes. L’auteur, graphiste de métier, déclare dans son avant-propos qu’il est « loin d’être un expert en la matière » et que c’est la rencontre fortuite entre son envie de faire un de ces « atlas poétiques (…) capables de vous transporter dans des lieux reculés depuis le confort de votre canapé », ses compétences de graphiste et un travail qu’il a dû faire, au cours duquel il a dessiné des phares qui ont été la source de son inspiration.

L’ouvrage présente 34 phares qui sont, d’abord, tous localisés sur une belle carte du monde, sans limite étatique, réalisée dans des tons bleus et jaunes pâles. Puis, chaque phare est présenté en quatre pages, toujours selon la même structure. D’abord une page de texte accompagnée de quelques informations de localisation et, en vis-à-vis, le dessin, réalisé par l’auteur, du phare dans so...
8:30
Atlas des grandes découvertes. De l’Antiquité à nos jours, Autrement, 2021
sur Mappemonde

Voici un atlas pour lequel Stéphane Dugast, pour l’écriture des textes, Xemartin Laborde, pour les cartes, et Audrey Lagadec, pour les illustrations, ont été associés pour le plus grand plaisir de nos connaissances et de notre imagination. Un atlas est un recueil de cartes, celui-ci, comme l’explique l’introduction, est « une ode à la carte » offrant de célébrer les grandes découvertes qui ont rythmé l’histoire de l’humanité.

L’atlas est découpé en cinq grandes parties organisées de manière chronologique. Chaque page comporte une notice présentant un(e) ou plusieurs explorateurs/exploratrices et, le plus souvent, une carte qui décrit les voyages d’exploration effectués. Les cartes sont, en apparence, très simples avec peu de figurés, mais elles permettent une visualisation claire et précisent des faits d’exploration décrits dans la notice. Certaines pages montrent le monde « connu » à des époques plus anciennes avec des mappemondes comme celle de Ptolémée ou d’Al Idrissi. Le texte es...
8:30
Grand Atlas de l’Antiquité romaine, Autrement, 2019
sur Mappemonde

Cet atlas, rédigé par Christophe Badel et Hervé Inglebert avec des cartes de Claire Levasseur, offre un vaste panorama de l’Empire romain : de ses prémices au III^e siècle av. J.-C. aux conséquences de son effondrement au V^e/VI^e siècle.

Cet atlas commence par des cartes anciennes reconstituant la vision des anciens de leur monde. La plus célèbre de ces cartes est celle dite « Table de Peutinger », copie médiévale d’un original du II^e/IV^e siècle, qui représente le réseau routier de l’Empire romain. Page 63, l’atlas fait également figurer l’énigmatique carte romaine d’Agrippa. L’hypothèse est qu’il s’agissait d’une carte, située sur le temple du forum d’Auguste, qui aurait été créée pour montrer l’étendue de l’Empire au 1^er siècle. Carte ou liste de lieux ou de routes perdue irrémédiablement, mais dont l’existence supposée montre tout l’intérêt des autorités impériales pour leur immense territoire et pour ce moyen très pratique de se l’approprier, tout au moins par le regard, qu’est l’o...
8:30
Navigae : un outil polyvalent pour valoriser et visualiser les données géographiques patrimoniales
sur Mappemonde

Navigae est une plateforme de recherche permettant de consulter des données issues de travaux en géographie et de valoriser la dimension spatiale des données. Elle permet de diffuser et de visualiser des données numériques issues de structures de recherche ou de bibliothèques, selon des modes d’interrogation et de visualisation cartographique. Son objectif est de favoriser l’ouverture des données grâce à de nombreux services d’exposition et de récupération de données, ainsi qu’à travers un travail de curation permettant la conservation, la maintenance et l’enrichissement des données des différents fonds documentaires géographiques présents dans la plateforme.
8:30
UD-SV : Plateforme d’exploration de données urbaines à n-dimensions — Espace, Temps, Thématiques
sur Mappemonde

Cet article présente la plateforme UD-SV (Urban Data Services and Visualization) développée au laboratoire LIRIS. UD-SV regroupe un ensemble de composants s’appuyant sur du code ouvert permettant de stocker, de visualiser, d’interagir, de naviguer et d’interroger des modèles de villes 2D et 3D, mais aussi temporels. UD-SV permet d’intégrer des données spatiales, temporelles et sémantiques pour l’analyse urbaine et pour la compréhension de son évolution. Nous décrivons l’architecture, la conception, le développement et nous exemplifions avec quelques processus de calcul de UD-SV.
8:30
Geodatadays 2022
sur Mappemonde

Les GéoDataDays constituent un évènement national indépendant dédié à la géographie numérique en France. Ces rencontres annuelles sont organisées par l’AFIGÉO et DécryptaGéo depuis cinq ans, en partenariat avec une plateforme régionale d’information géographique et des collectivités territoriales. Au cœur de cet évènement, le Groupement de recherche CNRS MAGIS, consacré à la géomatique, co-organise depuis trois ans un concours, les CHALLENGES GEODATA, qui vise à faire connaître et à récompenser les innovations du monde académique par un jury indépendant et multipartites (recherche, collectivités et services de l’État, industriels). Les domaines d’application sont très variés et touchent à la collecte, au traitement, à l’analyse et à la visualisation de données géographiques (ou géolocalisées). Les six critères retenus par le jury permettent de comparer et d’évaluer ces propositions souvent hétérogènes : originalité, public ciblé, potentiel de dissémination, qualité et justesse des m...

4:01
Sean Gillies: Wellsville fall colors
sur Planet OSGeo

After crashing out of the Bear, I picked myself up by going for a short hike in the Wellsville Mountains. This range frames Cache Valley on the west side and is covered with bigtooth maple.

The Wellsville Range draped in red maples.

The colors made my jaw drop. I lived in Cache Valley for 10 years and don't remember a better show.

Closeup on pink and red maple leaves.

Dark red chokecherry leaves.

Hobbling through this landscape and seeing the color change as the sunlight fluctuated improved my mood by several hundred percent.

View across a sunlit pasture to red maple covered slopes under a partly stormy sky.

2:29
Glacier changes in the Lingtren–Khumbutse catchment using Pléiades
sur Séries temporelles (CESBIO)

The iconic Khumbu Glacier in Nepal is fed by several tributaries, such as this branch in the Lingtren–Khumbutse catchment.
Glacier area from the Randolph glacier inventory 6.0
Recently a new Pléiades triplet covering the Khumbu region was added into the DINAMIS repository (acquisition date 22 Oct 2023). There is another triplet in the same area acquired on 11 Mar 2016 hence we can compute a sequence of two high resolution 3D models that are 7.5 years apart. Welcome to the fourth dimension!

The Lingtren-Khumbutse branch of the Khumbu glacier is less spectacular than the main branch because it is almost entirely covered by granitic debris [1]. However it flows like any glacier as shown by this animation of the shaded relief.
[https:]]

I computed the horizontal displacement from theses shaded DEM images using imGraft [2]. The displacement field looks consistent in the debris covered area, but it is very noisy and heterogeneous on the main branch. The algorithm did not work better with the ortho-images due to the changes in snow cover, illumination, etc.
Horizontal displacement from Mar 2016 to Oct 2023
From both 3D models we can also examine the surface elevation changes in the past 7.5 years.
Elevation changes from Mar 2016 to Oct 2023
Pléiades data show that in the Lingtren–Khumbutse catchment, the horizontal velocities range between 5 to 10 meters per year, which is consistent with the data from the global ice velocity atlas computed over 2017-2018 by Millan et al. [3]. The elevation changes of about 1 meter per year are also consistent with the global assessment of glacier thickness changes by Hugonnet et al. over 2015-2019 [4]. The thinning rates in this part of the glacier are less important than those that can be observed in the main part because the debris insulates the ice from the warming atmosphere.
Glacier velocity (2017-2018) and elevation changes (2015-2019) from Theia [maps.theia-land.fr]
I generated the digital elevation models from each Pléiades triplet in my web browser using the DSM-OPT online service, a very convenient tool to avoid downloading tens of gigabytes of raw imagery on my laptop. There remain some artifacts in the southern face of Lingtren slopes due to data gaps in the DEMs. Steep slopes are always challenging to resolve using satellite photogrammetry. Yet, the DEMs are fairly complete thanks to the tri-stereoscopic acquisition geometry and the good performance of the processing software (MicMac).

DINAMIS services and data are accessible to French public entities and non-profit organizations. Foreign scientists may download DINAMIS products free of charge under specific terms and conditions. See [https:]]

References

[1] Higuchi, K., Watanabe, O., Fushimi, H., Takenaka, S., Nagoshi, A., Williams, R. S., & Ferrigno, J. G. (n.d.). GLACIERS OF NEPAL—Glacier Distribution in the Nepal Himalaya with Comparisons to the Karakoram Range. [https:]

[2] Aslak Grinsted (2023). ImGRAFT [https:] GitHub. Retrieved November 12, 2023.

[3] Millan, R., Mouginot, J., Rabatel, A., & Morlighem, M. (2022). Ice velocity and thickness of the world’s glaciers. Nature Geoscience, 15(2), Article 2. [https:]]

[4] Hugonnet, R., McNabb, R., Berthier, E., Menounos, B., Nuth, C., Girod, L., Farinotti, D., Huss, M., Dussaillant, I., Brun, F., & Kääb, A. (2021). Accelerated global glacier mass loss in the early twenty-first century. Nature, 592(7856), Article 7856. [https:]]

Top picture by Tom Simcock, CC BY-SA 3.0, [https:]]

11 November 2023
2:00
Ian Turton's Blog: Is GeoJSON a spatial data format?
sur Planet OSGeo
Is GeoJSON a good spatial data format?
A few days ago on Mastodon Eli Pousson asked:

Can anyone suggest examples of files that can contain location info but aren’t often considered spatial data file formats?

He suggested EXIF, Iván Sánchez Ortega followed up with spreadsheets, and being devilish I said GeoJSON.

This led to more discussion, with people asking why I thought that, so I instead of being flippant I thought about it. This blog post is the result of those thoughts which I thought were kind of obvious but from things people have said since may be aren’t that obvious.

I’ve mostly been a developer for most of my career so my main interest in a spatial data format is that:
1. it stores my spatial data as I want it to,
2. it’s fast to read and to a lesser extent, write.
3. It’s easy to manage.
One, seems to be obvious, if I store a point then ask for it back I want to get that point back (to the limit of the precision of the processor’s floating point). If a format can’t manage that then please don’t use it. This is not common but Excel comes to mind as a program that takes good data and trashes it. If it isn’t changing gene names into dates then it’s reordering the dbf file to destroy your shapefile. GeoJSON also can fail at this as the standard says that I must store the data in WGS:84 (lon/lat), which is fine if that is the format that I store my data in already, but suppose I have some high quality OSGB data that is carefully surveyed to fractions of a millimetre and the underlying code does a conversion to WGS:84 in the background and further the developer wanted to save space and limited the number of decimal places to say 6 (OK, that was me) when it gets converted back to OSGB I’m looking at centimetres (or worse) but given the vagaries of floating point representation I may not be able to tell.

Two, comes from being a GeoServer developer, a largish chunk of the time taken to draw a web map (or stream out a WFS file) is taken up by reading the data from the disk. Much of the rest of the time is converting the data into a form that we can draw. Ideally, we only want to read in the features needed for the map the user has requested (actually, ideally we want to not read in most of the data by having it already be in the cache, but that is hard to do). So we like indexed datasets both spatial indexes and attribute indexes can help substantially speed up map drawing. As the size of spatial datasets increases the time taken to fetch the next feature from the store becomes more and more important. An index allows the program to skip to the correct place in the file for either a specific feature or for features that are in a specific place or contain a certain attribute with the requested value. This is a great time saver, imagine trying to look something up in a big book by using the index compared to paging through it reading each page in turn.

After one or more indexes the main thing I look for in a format is a binary format that is easy to read (and write). GeoJSON (and GML) are both problematic here as they are text formats (which is great in a transfer format) and so for every coordinate of every spatial object the computer has to read in a series of digits (and punctuation) and convert that into an actual binary number that it can understand. This is a slow operation (by computer speeds anyway) and if I have a couple of million points in my coastline file then I don’t want to do 4 million slow operations before I even think of drawing something.

Three, I have to interact with users on a fairly regular basis and in a lot of cases these are not spatial data experts. If a format comes with up to a dozen similarly named files (that are all important) that a GIS will refuse to process unless you guess which is the important one then it is more of a pain than a help. And yes shapefile I’m looking at you. If your process still makes use of Shapefiles please, please stop doing that to your users (and the support team) and switch over to GeoPackages which can store hundreds of data sets inside a single file, All good GIS products can process them by now, they have been an OGC standard for nearly 10 years. If you don’t think that shapefiles are confusing go and ask your support team how often they have been sent just the .shp file (or 11 files but not the .sbn) or how often they have seen people who have deleted all the none .shp files to save disk space.

My other objection to GeoJSON is that I don’t know what the structure (or schema) of the data set is until I have read the entire file. That last record could add several bonus attributes, in fact any (or all) of the records could do that, from a parsers view it is a nightmare. At least GML provides me with a fixed schema and enforces it through out the file.

When I’m storing data (as opposed to transferring it) I use PostGIS, it’s fast and accurate, can store my data in whatever projection I chose and is capable of interfacing with any GIS program I am likely to use, and if I’m writing new code then it provides good, well tested libraries in all the languages I care about so I don’t have to get into the weeds of parsing binary formats. If I fetch a feature from PostGIS it will have exactly the attributes I was expecting no more or less. It has good indexes and a nifty DSL (SQL) that I can use to express my queries that get dealt with by a cool query optimiser that knows way more than I do about how to access data in the database.

If for some reason I need to access my data while I’m travelling or share it with a colleague then I will use a GeoPackage which is a neat little database all packaged up in a single file. It’s not a quick as PostGIS so I wouldn’t use it for millions of records but for most day to day GIS data sets it’s great. You can even store you QGIS styles and project in it to make it a single file project transfer format.

One final point, I sometimes see people preaching that we should go cloud native (and often serverless) by embracing “modern” standards like GeoJSON and COGs. GeoJSON should never be used as a cloud native storage option (unless it’s so small you can read it once and cache it in memory in which case why are you using the cloud) as it is large (yes, I know it compresses well) and slow to parse (and slower still if you compressed it first) and can’t be indexed. So that means you have to copy the whole file from a disk on the far side of a slow internet connection. I don’t care if you have fibre to the door it is still slow compared to the disk in your machine!
10 November 2023
22:04
KAN T&IT Blog: Simplificá tu Análisis Geoespacial con KICa, el Innovador Plugin de QGIS para acceder a catálogos de Imágenes
sur Planet OSGeo

Pièce jointe: [télécharger]

KICa, «Kan Imagery Catalog», es un plugin para QGIS. Esta herramienta innovadora simplifica el acceso a catálogos de imágenes satelitales, en un principio, utilizando metodología estándar como es STAC (sigla en inglés de Catálogos de Recursos Espacio- Temporales) el cual es un lenguaje único para el acceso a catálogos de imágenes satelitales de una manera estándar y uniforme. Esto nos permite tener un objetivo agnóstico basado en la posibilidad de centrarnos en la necesidad de resolver nuestro análisis geoespacial sobre una zona y no tener que estar buscando cada uno de los proveedores por separado.

En un principio se incorporan proveedores de imágenes satelitales (gratuitas y comerciales), pero está previsto, en las siguientes versiones, incorporar imágenes de drones, vuelos entre otros recursos que faciliten el análisis geoespacial. Hoy podrán observar que están disponible los proveedores como UP42 o Sentinel Hub, dentro de una región geográfica definida por el usuario.

Con este potente plugin, los usuarios tienen la capacidad de explorar de manera eficiente los catálogos disponibles, así como consultar pisadas (footprints) y vistas rápidas (quicklooks) de las imágenes que se encuentran en su área de interés para estimar su uso sin la necesidad de ser descargada la imagen completa para su análisis.

Así, este plugin se convierte en una herramienta esencial para todos aquellos que trabajan con datos geoespaciales, ya que les proporciona un acceso rápido y sencillo a imágenes satelitales, facilitando tanto el análisis como la visualización de datos. No importa si sos un profesional en el campo de la geoinformación, un científico de datos o un entusiasta de la cartografía; «KICa» enriquecerá tu flujo de trabajo y mejorará tus capacidades de exploración y utilización de imágenes satelitales.

Nuestra solución es de código abierto y colaborativa, por lo que te invitamos a visitar nuestro repositorio donde podrás ver más documentación, reportar bugs y nuevas mejoras, y también contribuir en el código con tus “push request”.

¡Optimizá tus proyectos geoespaciales con esta valiosa herramienta!

#satellite #QGIS #SentinelHub #Copernicus #Sentinel

20:03

Free and Open Source GIS Ramblings: Bringing QGIS maps into Jupyter notebooks

sur Planet OSGeo

Earlier this year, we explored how to use PyQGIS in Juypter notebooks to run QGIS Processing tools from a notebook and visualize the Processing results using GeoPandas plots.

Today, we’ll go a step further and replace the GeoPandas plots with maps rendered by QGIS.

The following script presents a minimum solution to this challenge: initializing a QGIS application, canvas, and project; then loading a GeoJSON and displaying it:

from IPython.display import Image

from PyQt5.QtGui import QColor
from PyQt5.QtWidgets import QApplication

from qgis.core import QgsApplication, QgsVectorLayer, QgsProject, QgsSymbol, \
    QgsRendererRange, QgsGraduatedSymbolRenderer, \
    QgsArrowSymbolLayer, QgsLineSymbol, QgsSingleSymbolRenderer, \
    QgsSymbolLayer, QgsProperty
from qgis.gui import QgsMapCanvas

app = QApplication([])
qgs = QgsApplication([], False)
canvas = QgsMapCanvas()
project = QgsProject.instance()

vlayer = QgsVectorLayer("./data/traj.geojson", "My trajectory")
if not vlayer.isValid():
    print("Layer failed to load!")

def saveImage(path, show=True): 
    canvas.saveAsImage(path)
    if show: return Image(path)

project.addMapLayer(vlayer)
canvas.setExtent(vlayer.extent())
canvas.setLayers([vlayer])
canvas.show()
app.exec_()

saveImage("my-traj.png")

When this code is executed, it opens a separate window that displays the map canvas. And in this window, we can even pan and zoom to adjust the map. The line color, however, is assigned randomly (like when we open a new layer in QGIS):

To specify a specific color, we can use:

vlayer.renderer().symbol().setColor(QColor("red"))

vlayer.triggerRepaint()
canvas.show()
app.exec_()
saveImage("my-traj.png")

But regular lines are boring. We could easily create those with GeoPandas plots.

Things get way more interesting when we use QGIS’ custom symbols and renderers. For example, to draw arrows using a QgsArrowSymbolLayer, we can write:

vlayer.renderer().symbol().appendSymbolLayer(QgsArrowSymbolLayer())

vlayer.triggerRepaint()
canvas.show()
app.exec_()
saveImage("my-traj.png")

We can also create a QgsGraduatedSymbolRenderer:

geom_type = vlayer.geometryType()
myRangeList = []

symbol = QgsSymbol.defaultSymbol(geom_type)
symbol.setColor(QColor("#3333ff"))
myRange = QgsRendererRange(0, 1, symbol, 'Group 1')
myRangeList.append(myRange)

symbol = QgsSymbol.defaultSymbol(geom_type)
symbol.setColor(QColor("#33ff33"))
myRange = QgsRendererRange(1, 3, symbol, 'Group 2')
myRangeList.append(myRange)

myRenderer = QgsGraduatedSymbolRenderer('speed', myRangeList)
vlayer.setRenderer(myRenderer)

vlayer.triggerRepaint()
canvas.show()
app.exec_()
saveImage("my-traj.png")

And we can combine both QgsGraduatedSymbolRenderer and QgsArrowSymbolLayer:

geom_type = vlayer.geometryType()
myRangeList = []

symbol = QgsSymbol.defaultSymbol(geom_type)
symbol.appendSymbolLayer(QgsArrowSymbolLayer())
symbol.setColor(QColor("#3333ff"))
myRange = QgsRendererRange(0, 1, symbol, 'Group 1')
myRangeList.append(myRange)

symbol = QgsSymbol.defaultSymbol(geom_type)
symbol.appendSymbolLayer(QgsArrowSymbolLayer())
symbol.setColor(QColor("#33ff33"))
myRange = QgsRendererRange(1, 3, symbol, 'Group 2')
myRangeList.append(myRange)

myRenderer = QgsGraduatedSymbolRenderer('speed', myRangeList)
vlayer.setRenderer(myRenderer)

vlayer.triggerRepaint()
canvas.show()
app.exec_()
saveImage("my-traj.png")

Maybe the most powerful option is to use data-defined symbology. For example, to control line width and color:

renderer = QgsSingleSymbolRenderer(QgsSymbol.defaultSymbol(geom_type))

exp_width = 'scale_linear("speed", 0, 3, 0, 7)'
exp_color = "coalesce(ramp_color('Viridis',scale_linear(\"speed\", 0, 3, 0, 1)), '#000000')"

# [https:] renderer.symbol().symbolLayer(0).setDataDefinedProperty(
    QgsSymbolLayer.PropertyStrokeWidth, QgsProperty.fromExpression(exp_width))
renderer.symbol().symbolLayer(0).setDataDefinedProperty(
    QgsSymbolLayer.PropertyStrokeColor, QgsProperty.fromExpression(exp_color))
renderer.symbol().symbolLayer(0).setDataDefinedProperty(
    QgsSymbolLayer.PropertyCapStyle, QgsProperty.fromExpression("'round'"))

vlayer.setRenderer(renderer)

vlayer.triggerRepaint()
canvas.show()
app.exec_()
saveImage("my-traj.png")

Find the full notebook at: [https:]]

11:32
Du 28 au 30 mai 2024 et du 25 au 26 juin 2024 à Lille : formation "savoir utiliser les Données Foncières" (Fichiers Fonciers et DV3F)"
sur Datafoncier, données pour les territoires (Cerema)

Publié le 05 novembre 2023
Une session de formation "Savoir utiliser les Données Foncières" se tiendra du 28 au 30 mai et du 25 au 26 juin 204 dans les locaux du Cerema Hauts-de-France à Lille. Cette session est à destination des bénéficiaires des Données Foncières (Fichiers Fonciers, DV3F) et des bureaux d'études. Vous trouverez le contenu et le coût de la formation dans la rubrique Accompagnement Inscription jusqu'au 10 mai (…)
Lire la suite

11:00
Publication du registre parcellaire graphique 2022
sur Toute l’actualité des Geoservices de l'IGN

L’édition 2022 du Registre Parcellaire Graphique (RPG) est disponible depuis novembre 2023 en téléchargement, en flux et sur le site Géoportail.gouv.fr.

10:32
Du 14 au 16 mai 2024 à Lille : formation "savoir utiliser les Fichiers fonciers"
sur Datafoncier, données pour les territoires (Cerema)

Publié le 07 novembre 2023
Une session de formation "Savoir utiliser les Fichiers fonciers" se tiendra du 14 au 16 mai 2024 dans les locaux du Cerema Hauts-de-France à Lille.Cette session est à destination des bénéficiaires des Fichiers fonciers et des bureaux d'études.Vous trouverez le contenu et le coût de la formation dans la rubrique AccompagnementInscription jusqu'au 22 avril (…)
Lire la suite
10:32
Du 12 au 14 mars 2024 à Lille : formation "savoir utiliser DV3F"
sur Datafoncier, données pour les territoires (Cerema)

Publié le 10 novembre 2023
Une session de formation "Savoir utiliser DV3F" se tiendra du 12 au 14 mars 2024 dans les locaux du Cerema Hauts-de-France à Lille.Cette session est à destination des bénéficiaires des Données Foncières et des bureaux d'études.Vous trouverez le contenu et le coût de la formation dans la rubrique AccompagnementInscription jusqu'au 9 février (…)
Lire la suite

2:00
Georg Heiler: Introduction to Geostatistics
sur Planet OSGeo

Georg Heiler: Introduction to Geostatistics
09 November 2023
10:12
GRASS GIS: Apply Now for Student Grants
sur Planet OSGeo

We would like to announce a unique paid opportunity for students to contribute to GRASS GIS! GRASS GIS will offer a number of student grants for projects that include development of GRASS documentation, tests, new features or geospatial tools and bug fixing. Check the suggested topics on the Student Grant wiki. Why to apply? Experience: Gain hands-on experience in a thriving open-source community. Mentorship: Work alongside experienced developers who will guide you throughout your journey.

08 November 2023
16:00
OGC and Joint Research Centre renew Collaboration Agreement to enhance Geospatial Standards
sur Open Geospatial Consortium (OGC)

The Open Geospatial Consortium (OGC) and the Joint Research Centre of the European Commission (JRC) have renewed their collaboration agreement to enhance the development and use of geospatial standards.

The ongoing collaboration enables JRC to more effectively contribute to the OGC Standards process and facilitate the consideration of European objectives, requirements, and policies during the development of international open geospatial standards.

The agreement formalizes the partners’ collaboration in the field of development, application, maintenance, and promotion of international open geospatial standards and best practices that support the implementation of EU policies, for example, INSPIRE, European Data Spaces, Open Data, and Earth Observation, including Copernicus and Galileo.

Further, the agreement will enable OGC and JRC to jointly organize workshops for exchanging scientific and technological information on topics of mutual interest, for example, spatial law and policy, Spatial Data Infrastructure (SDI) Best Practices, and emerging technologies (e.g. metaverse, digital twins, cloud/edge computing, platforms, and Artificial Intelligence (AI)).

“We at OGC are pleased to continue our collaboration with the JRC,” commented Ingo Simonis, Ph.D, OGC Chief Technology Innovation Officer. “With the modernization of national and international spatial data infrastructures, the semantic enhancement of existing data offerings, and the development of cross-domain yet flexible solutions for heterogeneous communities, we have many core activities in common. Bringing the JRC and OGC communities together allows us to address these important topics far more efficiently.”

About JRC
The European Commission’s Joint Research Centre provides independent, evidence-based knowledge and science, supporting EU policies to positively impact society.?It plays a key role at multiple stages of the EU policy cycle.
It works closely with research and policy organisations in the Member States, with the European institutions and agencies, and with scientific partners in Europe and internationally, including within the United Nations system. In addition, the JRC offers scientific expertise and competences from a very wide range of disciplines in support of almost all EU policy areas.

The post OGC and Joint Research Centre renew Collaboration Agreement to enhance Geospatial Standards appeared first on Open Geospatial Consortium.

07 November 2023

18:14

SIG Libre Uruguay: web gratuito «Asociación con EOS Data Analytics: Ventajas de su red de socios y soporte».

sur Planet OSGeo

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