QGIS Plugin - GeoAI
A Python package for using Artificial Intelligence (AI) with geospatial data
π Documentation: opengeoai.org/qgis_plugin
π» GitHub: github.com/opengeos/geoai
πΊ Full video tutorial: youtu.be/L90id_ESQME
If you find the plugin useful, please give it a thumbs-up β on the QGIS plugin page: plugins.qgis.org/plugins/geoai
#GeoAI #QGIS #GIS #RemoteSensing #Geospatial #OpenSource
25.02.2026 14:14 β
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π Excited to announce the release of GeoAI QGIS Plugin v1.0!
This first stable release introduces a new one-click dependency installer for Linux, macOS, and Windows. You can install and run GeoAI directly from your existing QGIS setup, without the old complex pixi workflow.
25.02.2026 14:14 β
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NOAA Coastal LiDAR - Basic Example
Try the Web App: noaa-lidar.gishub.org
GitHub Repository: github.com/opengeos/map...
Full video tutorial: youtu.be/CEmFT6aEE70
NOAA Digital Coast: coast.noaa.gov/dataviewer/#...
#lidar #opensource #geosptial #mapping #noaa #opendata
18.02.2026 16:16 β
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Want to easily explore and visualize LiDAR point clouds from NOAA Digital Coast?
In this step-by-step tutorial, you'll learn how to search, load, and interact with massive coastal LiDAR datasets using a powerful web app built with the maplibre-gl-lidar plugin. No complex setup required. j
18.02.2026 16:16 β
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The anymap-ts Python package now supports creating choropleth maps from vector data with a few simple clicks!
Give it a try:
Web demo: ts.anymap.dev/examples/map...
Jupyter demo: notebook.link/github/openg...
GitHub: github.com/opengeos/any...
Documentation: ts.anymap.dev
#geospatial #opensource
16.02.2026 16:31 β
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Introduction to GIS Programming
A practical guide to geospatial programming with Pythonβlearn spatial analysis, mapping, and cloud computing using open-source tools and real-world data.
1) Introduction to GIS Programming
Leanpub: leanpub.com/gispro/c/valentine
Book website: gispro.gishub.org
2) Spatial Data Management
Leanpub: leanpub.com/duckdb/c/valentine
Book website: duckdb.gishub.org
All code examples are freely available on the book websites.
#opensource #geospatial
14.02.2026 16:27 β
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Happy Valentineβs Day! β€οΈ
My two books are on sale on Leanpub today β 40% off.
If you want to learn modern GIS programming and large-scale geospatial analytics + visualization using open-source tools, this is a great time to grab them.
14.02.2026 16:27 β
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Compute on-the-fly is not very practical at the moment.
13.02.2026 15:17 β
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addControlGrid - MapLibre GL Components
Try it out:
Web demo: opengeos.org/maplibre-gl-...
Jupyter demo: notebook.link/github/openg...
GitHub: github.com/opengeos/any...
Documentation: ts.anymap.dev
Video tutorial: youtu.be/Xr_UfBI46bc
#mapping #maplibre #typescript #jupyter #python
13.02.2026 14:57 β
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addControlGrid - MapLibre GL Components
It supports many popular geospatial formats, including GeoJSON, GeoParquet, FlatGeobuf, PMTiles, COG, Zarr, COPC LiDAR, and Gaussian Splat.
It also includes powerful built-in UI components such as a minimap, bookmarks, print tool, view state manager, STAC search, street view, and geometry editor
13.02.2026 14:57 β
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Introducing anymap-ts: a new Python package that makes geospatial visualization easy!
Built on MapLibre + TypeScript, anymap-ts brings the same rich mapping experience to both the web and Jupyter Notebook.
13.02.2026 14:57 β
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YouTube video by Geo Bharat
FOSS4G Asia 2026 | Keynote: Open-Source Tools for AI-Powered Geospatial Analysis and Visualization
The recording for my keynote presentation at FOSS4G-Asia is now available. A big thank you to Ujaval Gandhi and the organizing committee for the invitation!
Title: Democratizing GeoAI: Open-Source Tools for AI-Powered Geospatial Analysis and Visualization
YouTube: youtu.be/TnO3GAmi1f0?...
11.02.2026 12:45 β
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GitHub - opengeos/maplibre-gl-components: Legend, colorbar, and HTML control components for MapLibre GL JS maps
Legend, colorbar, and HTML control components for MapLibre GL JS maps - opengeos/maplibre-gl-components
And yes, these features are coming to Jupyter Notebook as well.
Give it a try:
GitHub: github.com/opengeos/map...
Demo: opengeos.org/maplibre-gl-...
Video tutorial: youtu.be/GhroyYozSL4
#maplibre #geospatial #opensource #mapping #dataviz
10.02.2026 16:17 β
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Cloud-Native Geospatial Visualization with MapLibre Plugin (Step-by-Step Tutorial)
Iβm excited to share a new MapLibre plugin: maplibre-gl-components!
It makes it easy to visualize cloud-native geospatial formats, including COG, Zarr, PMTiles, FlatGeobuf, and GeoParquet.
10.02.2026 16:17 β
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YouTube video by Open Geospatial Solutions
Canopy Height Estimation with GeoAI and Pretrained Models
Video Tutorial: youtu.be/vsIRTM98qaU
Notebook Example: opengeoai.org/examples/canopy_height
Meta's Canopy Height Model: github.com/facebookresearch/HighResCanopyHeight
#GeoAI #RemoteSensing #CanopyHeight #DeepLearning #Python #OpenSource
06.02.2026 14:49 β
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Canopy Height Estimation with GeoAI and Pretrained Models
Learn how to estimate canopy height from aerial and satellite imagery using pretrained deep learning models with the GeoAI Python package. This tutorial shows you how to use Meta's High-Resolution Canopy Height Model with minimal code!
06.02.2026 14:49 β
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π’ Call for Papers | Special Issue in Remote Sensing of Environment
We are excited to announce a forthcoming special issue in Remote Sensing of Environment focused on the rapidly evolving area of Geospatial Foundation Models and their transformative potential for environmental remote sensing.
06.02.2026 13:20 β
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Thanks, Bonny!
03.02.2026 22:15 β
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π Excited to share that my paper has been published in the Journal of Open Source Software!
π "GeoAI: A Python package for integrating artificial intelligence with geospatial data analysis and visualization"
03.02.2026 22:05 β
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QGIS Plugin - GeoAI
A Python package for using Artificial Intelligence (AI) with geospatial data
GeoAI QGIS Plugin: opengeoai.org/qgis_plugin
DeepForest: github.com/weecology/De...
Video Tutorial: youtu.be/23Su8J6R4Cw
#GeoAI #geospatial #forest #AI #QGIS
03.02.2026 16:27 β
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Tree Crown Segmentation in QGIS using DeepForest and GeoAI Plugin
Learn how to detect and segment trees from satellite imagery using the QGIS GeoAI plugin with DeepForest pre-trained models. This comprehensive tutorial covers installation, setup, and tree detection workflow, no coding required
03.02.2026 16:27 β
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QGIS Plugin - GeoAI
A Python package for using Artificial Intelligence (AI) with geospatial data
With this update, you can load pretrained DeepForest models to segment real-world objects such as trees, birds, livestock, dead trees, and more, directly inside QGIS.
Try it out:
Documentation: opengeoai.org/qgis_plugin
GitHub: github.com/opengeos/geoai
#deepforest #geoai #QGIS #geospatial
30.01.2026 15:39 β
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QGIS GeoAI Plugin v0.5.0 is out!
I just released v0.5.0 of the QGIS GeoAI Plugin, bringing interactive image segmentation powered by DeepForest (deepforest.readthedocs.io) to your desktop GIS workflow.
30.01.2026 15:39 β
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YouTube video by Open Geospatial Solutions
How to Download and Visualize NASA-ISRO NISAR Data in QGIS | Step-by-Step Tutorial
Resources:
β’ Video Tutorial: youtu.be/oRTplHPf_T0
β’ NASA Earthdata Plugin for QGIS: github.com/opengeos/qgi...
Kudos to the Alaska Satellite Facility for this excellent NISAR Data User Guide: nisar-docs.asf.alaska.edu
#NISAR #QGIS #SAR #RemoteSensing #NASA #ISRO #GIS #SatelliteData #Geospatial
28.01.2026 13:30 β
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How to Download and Visualize NASA-ISRO NISAR Data in QGIS | Step-by-Step Tutorial
Learn how to download and visualize NASA-ISRO NISAR SAR satellite data in QGIS without coding! This complete tutorial shows you how to use the NASA Earthdata plugin for QGIS to access powerful SAR data.
28.01.2026 13:30 β
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Timelapse - Create timelapse animations from satellite and aerial imagery (NAIP, Landsat, Sentinel-2, Sentinel-1, GOES, and MODIS NDVI) using Google Earth Engine
In this step-by-step tutorial, Iβll show you how to visualize powerful weather events using NOAAβs GOES-18 satellite imagery inside QGIS, without needing to code.
Pluging page: plugins.qgis.org/plugins/time...
GitHub repo: github.com/opengeos/qgi...
Video tutorial: youtu.be/G1MnIGBdruA
25.01.2026 19:15 β
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