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60,000 subscribers
934 videos published
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Web-based demo: ts.anymap.dev/examples/map...
Jupyter notebook demo: notebook.link/github/openg...
Video tutorial: youtu.be/9p8FIUij36k
#geospatial #opensource #python #jupyter #maplibre
How to Create a Spinning Globe 🌍 with Your Own Data Layers (No Coding Required)
In this step-by-step tutorial, you'll see how to build an interactive spinning globe, overlay raster and vector data layers, and visualize datasets directly in your browser or in a Jupyter Notebook environment.
MapLibre GL Plugin
GitHub: opengeos.org/maplibre-gl-...
Live Demo: github.com/opengeos/map...
QGIS Plugin:
GitHub: github.com/opengeos/qgi...
Plugin Page: plugins.qgis.org/plugins/vantor
Vantor Open Data Program: vantor.com/company/open...
#QGIS #SatelliteImagery #DisasterResponse #OpenSource
Free Maxar/Vantor Satellite Imagery for Disaster Response - QGIS and MapLibre Plugins Demo
The Vantor Open Data Program provides free satellite imagery to support global disaster response and recovery efforts. These plugins make it easy to search, preview, and download imagery directly inside QGIS
and my experiences teaching and publishing books in geospatial data science.
Listen here: americaview.podbean.com
Substack: americaview.substack.com/p/spatial-si...
#SpatialSignals #AmericaView #Geospatial #RemoteSensing #GIS #GeoAI #OpenSource
🎙️ Spatial Signals Podcast | Episode 48: Sleep Is Highly Overrated
I recently had a great conversation with Bradley Shellito and Chris McGinty on the Spatial Signals podcast by AmericaView.
We discussed my journey into GIS, the motivation behind building open source geospatial tools,
📘 Documentation: opengeoai.org/qgis_plugin
💻 GitHub: github.com/opengeos/geoai
📺 Full video tutorial: youtu.be/L90id_ESQME
If you find the plugin useful, please give it a thumbs-up ⭐ on the QGIS plugin page: plugins.qgis.org/plugins/geoai
#GeoAI #QGIS #GIS #RemoteSensing #Geospatial #OpenSource
🚀 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.
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
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
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
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
Happy Valentine’s Day! ❤️
My two books are on sale on Leanpub today — 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.
Compute on-the-fly is not very practical at the moment.
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
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
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.
Slides: tinyurl.com/foss4g-geoai
GitHub: github.com/opengeos/geoai
Documentation: opengeoai.org
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?...
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
Cloud-Native Geospatial Visualization with MapLibre Plugin (Step-by-Step Tutorial)
I’m 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.
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
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!
Theme: Geospatial Foundation Models for Advancing Remote Sensing of Environment
Submission deadline: 30 June 2026
More details & submission guidelines:
www.sciencedirect.com/special-issu...
#RemoteSensing #EarthObservation #FoundationModels #GeoAI #MachineLearning
📢 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.
Thanks, Bonny!
📎 Links:
• Paper: doi.org/10.21105/jos...
• GitHub: github.com/opengeos/geoai
• Docs: opengeoai.org
A big thank you to the JOSS reviewers Kamil Raczycki, Justin Bousquin, Akhil Marupilla and editors Mengqi Zhao and Kristen Thyng for their valuable feedback throughout the review process!
