📣 Exciting News! The full-color print edition of my book “Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools” is now available on Amazon! 📘 Grab your copy here: https://t.co/WV6aOCq0X4 Prefer digital? The PDF version is available on

🚁✨ Workshop Recordings Now Live from CANVAS 2025! Yesterday at the CANVAS 2025 Conference in Salt Lake City, Dr. Jinha Jung and I had the pleasure of leading a 4-hour hands-on workshop on managing and analyzing drone imagery using open-source tools. If you work with drone or

If we were able to see in x-rays, we would actually not be able to see most of the world, first because there aren't enough x-rays and second because it'd go through most things on Earth. In other words, something with x-ray vision wouldn't be able to see our flesh and blood.

Learn how to visualize Cloud Optimized GeoTIFFs (COGs) right in your browser – no tile server is needed! In this step-by-step tutorial, you'll discover how to load and render COGs instantly using Leafmap within a Jupyter Notebook. Whether you're working with aerial imagery,

📯 I’m excited to share the news about my upcoming book: 📘 Spatial Data Management with DuckDB: From SQL Basics to Advanced Geospatial Analytics This book builds upon my Spatial Data Management course ( https://t.co/GPdU43W5wS) at the University of Tennessee and is designed

Wyvern Hyperspectral Data Visualization Made Easy Learn how to easily visualize high-resolution hyperspectral imagery from Wyvern using the HyperCoast Python package. In this hands-on tutorial, you'll explore spectral signatures, analyze environmental features like vegetation,

A sneak peek at the new layer and legend controls in the AnyMap package, making it easier than ever to style your map layers interactively with just a few clicks. GitHub: https://t.co/RDBX7FEoya #geospatial #python #opensource

The 1.4 release of @duckdb supports using a DuckDB database to serve vector tiles! Of course, I had to try this out in R. Check it out: all 242,000 US Census block groups dynamically served as vector tiles from a DuckDB database, displayed on a MapLibre map from R in Positron.

🚀 anymap v0.6 is here! This release comes packed with major new features: ✨ Layer Control – Style and visualize raster and vector data interactively. 🧭 Geoman Draw Control – Create and edit vector data directly in a Jupyter environment. These updates make interactive

🌍 Announcing the latest advancements to Google Earth AI - a platform designed to unlock a new level of planetary understanding. ➡️ https://t.co/GDCalxFB93 🔗 Geospatial Reasoning framework 🧠 Deeper Insights in Google Earth 🎉 Expanded access to Earth AI

The recording of my presentation at the UTK Open Access Week is available on YouTube now: https://t.co/tfK6Z7QwWK Title: Open Publishing in Action: Creating Interactive Books with Jupyter Book and MyST Markdown In this hands-on session, I demonstrated various open-source tools

🚀 Visualize Big Vector Data in Python—FAST! Tired of slow and clunky tools for visualizing big vector dataset in Python? Discover this one-line Python trick using Leafmap + DuckDB to instantly render huge vector datasets—even gigabytes in size—right in your Jupyter notebook. In

🎯 AI Agents for Microsoft Planetary Computer: Explore Satellite Data with Zero Code Unlock satellite data without writing a single line of code! 🌍 In this step-by-step tutorial, you’ll discover how to harness the power of AI agents to search, filter, and visualize geospatial

📯 The University of Tennessee Open Access Week is taking place this week. I’ll be presenting a session during the event, and you’re welcome to join. Webinar: Open Publishing in Action: Creating Interactive Books with Jupyter Book and MyST Markdown Time: October 21st, 2:00 -

Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools by Qiusheng Wu @giswqs is the featured book on the Leanpub homepage! #Python Unlock the power of geospatial data with Python! This hands-on guide is designed for beginners and intermediate

🚀 GeoAI v0.16.0 is here! Train image segmentation models and instantly visualize performance metrics with a single line of Python code. 💡 📦 GitHub: https://t.co/VMj1S7p1P7 📓 Example notebook: https://t.co/XfoJCyroXS #GeoAI #DeepLearning #GeospatialAI #Python #OpenSource

🚀 Visualize Geospatial Data Instantly from the Command Line! You can now interactively explore raster and vector datasets without opening a desktop GIS or Jupyter Notebook. Simply run: pip install "leafmap[viewer]" Then visualize your data with one line: view-raster

Boost Your Workflow in Leafmap with the New Floating Sidebar 🚀 Unlock a smarter way to manage geospatial data in Python! In this video, you'll learn how to use Leafmap's latest floating sidebar update to easily control map layers, customize styles, and add interactive widgets.

🚀 The leafmap Python package just got a major usability boost — introducing the floating sidebar panel! 🎉 This new feature lets you: ✅ Effortlessly control layer visibility and style ✅ Add custom ipywidgets for interactive geospatial apps Perfect for creating sleek, dynamic

Unlock the power of instance segmentation for buildings using the open-source GeoAI Python package! 🏗️ In this hands-on tutorial, you'll learn how to train, run, and evaluate a deep learning model that can accurately detect and separate individual buildings, even when they're