Virtual QGIS Meeting April 21st 2026 - 12:00 EDT A Virtual Meeting planned for the QGIS-US group on April 21st 2025 at 12:00 EDT. The Speaker will be Dr Quisheng Wu. A hangout link will be posted shortly! Title: Bringing GeoAI to QGIS: Deep Learnin...

I will be presenting at the QGIS-US Group Meeting tomorrow on the QGIS GeoAI plugin. Come join me 👇

discourse.osgeo.org/t/virtual-qg...

#QGIS #GeoAI

The AI Revolution in Geospatial Intelligence (Why Everything Is About to Change) | Dr. Qiusheng Wu YouTube video by The NDS Show

Education changed my life!

Check out my conversation with Nick Smith on open-source #geospatial and #GeoAI

youtu.be/BdOW8vkBSLA?...

My new blog on open-source geospatial and GeoAI.

Subscribe here: gishub.org/blog
RSS feed: gishub.org/rss.xml

#opensource #geospatial #GeoAI

Write Journal Articles with MyST Markdown + Auto PDF Generation YouTube video by Open Geospatial Solutions

Video Tutorial: youtu.be/iwL-s7aPNYQ
GitHub Repo: github.com/opengeos/mys...
Demo Website: opengeos.org/myst-article...
Sample PDF: opengeos.org/myst-article...

#opensource #myst #jupyter

Write Journal Articles with MyST Markdown + Auto PDF Generation

Learn how to write journal articles with MyST Markdown and automatically generate a publication-ready PDF and website in minutes. This step-by-step tutorial shows you how to use a GitHub template, manage citations, add figures/tables.

You can rename those markdown files and update the github.com/opengeos/mys... slightly

Build a Professional CV Website + Auto PDF Generation with MyST (Step-by-Step Guide) YouTube video by Open Geospatial Solutions

Video tutorial: youtu.be/KiceHVININs
Website template: github.com/opengeos/mys...
Live demo: opengeos.org/myst-cv-temp...
Sample CV PDF: opengeos.org/myst-cv-temp...

My new website was built using the same template. Check it out: gishub.org

#mystmd #opensource

Build a Professional CV Website + Auto PDF Generation with MyST (Step-by-Step Guide)

Create a professional CV website and automatically generate a PDF using the MyST CV template, all from a single source!

Build a Personal Website in 5 Minutes | No Coding Required YouTube video by Open Geospatial Solutions

Video tutorial: youtu.be/wj0kAthmusA
Website template: github.com/opengeos/mys...

Live demo: opengeos.org/myst-website...

My new personal website was built using the same template: gishub.org

#opensource #mystmd #jupyter

Build a professional personal website in minutes using Markdown and GitHub Pages — no HTML required!

In this step-by-step tutorial, you’ll learn how to create a modern, responsive website using a simple Markdown-based template.

Launching My New Website with MyST Markdown and Typst - Qiusheng Wu

This setup solves a long-standing pain point. Instead of maintaining separate versions of my website (HTML) and CV (Word), everything now lives in a single source.

If you're interested in the workflow, I’ve written a detailed blog post: gishub.org/blog/launchi...

#opensource #geospatial

Qiusheng Wu

🚀 Launching My New Website with MyST Markdown and Typst

I’m happy to share the launch of my redesigned personal website: gishub.org

The entire site is built with MyST Markdown, with Typst powering an automatically generated PDF version of my CV: gishub.org/cv.pdf

This series is a complete, hands-on pathway for modern geospatial programming with Python. It takes you from core GIS programming to scalable spatial data management with DuckDB, and all the way to cutting-edge GeoAI applications using real-world datasets.

#geospatial #opensource #python #geoai

Introducing a new Leanpub book bundle: The Open Geospatial Python Series

Get all three books at a discounted price: leanpub.com/b/geopython

Thank you for your support!

GeoAI with Python Hands-on guide to applying deep learning to satellite imagery with Python. Covers segmentation, object detection, foundation models, and QGIS plugins using open-source tools.

Currently, EPUB is available for the English edition, with translated versions coming soon.

Leanpub: leanpub.com/geoai
Amazon: a.co/d/01tG11me

All code examples remain freely accessible: book.opengeoai.org

#geospatial #geoai #opensource #python

The GeoAI book is now available in EPUB format!

This new format offers a much smoother reading experience on tablets, e-readers, and mobile devices.

If you previously purchased the PDF edition on Leanpub, the EPUB version is now available in your Leanpub library at no additional cost.

GeoAI with Python

PDF edition available in English, Spanish, Chinese, French, and German: book.opengeoai.org

#geospatial #geoai #opensource

Just received a proof copy of my new GeoAI book from Amazon! The printing quality is very good. It is now the #1 best-seller in GIS, Remote Sensing, and Computer Programming Languages. Grab your packpaer copy here: a.co/d/0gLUefPP

GitHub - opengeos/geoai: GeoAI: Artificial Intelligence for Geospatial Data GeoAI: Artificial Intelligence for Geospatial Data - opengeos/geoai

Try it out:

GitHub: github.com/opengeos/geoai
Notebook example: opengeoai.org/examples/geo...

#geospatial #geoai #opensource #python

The GeoAI Python package now supports object detection using pre-trained models from the GeoDeep libarary (github.com/uav4geo/GeoD...). The supported object types include cars, trees, birds, planes, aerovision, utilities, buildings, and roads.

My GeoAI book is now a best-seller on Amazon!

Get your copy on Amazon now and I will share a complimentary PDF with you: a.co/d/09Z7S6uq

All code examples are freely available: book.opengeoai.org

#geospatial #geoai #opensource

HyperCoast now supports visualizing Wyvern hyperspectral data with only one line of code.

GitHub: github.com/opengeos/Hyp...
Notebook example: hypercoast.org/examples/wyv...

#hyperspectral #hypercoast #dataviz

GeoAI with Python

Code examples: book.opengeoai.org
Video walk-through: youtu.be/O8GEQeXqsHA

📕 My new GeoAI book is now available on Amazon!

Title: GeoAI with Python: A Practical Guide to Open-Source Geospatial AI

Full-Color Print Edition (430 pages) on Amazon: a.co/d/018IFY2d
English PDF Edition (423 pages) on Leanpub: leanpub.com/geoai

GeoAI with Python

This hands-on guide shows how to apply deep learning and AI to satellite imagery, aerial photos, and geospatial data using Python. It walks through the complete workflow, from accessing remote sensing data to training, evaluating, and deploying models using open-source tools.

🚀 New book release: GeoAI with Python: A Practical Guide to Open-Source Geospatial AI

The full PDF edition (423 pages) is now available on Leanpub:
leanpub.com/geoai

All code examples are freely available: book.opengeoai.org

Agricultural Field Boundary Delineation (Instance Segmentation) with GeoAI YouTube video by Open Geospatial Solutions

Video tutorial: youtu.be/BT_Uyme_voc
Notebook: opengeoai.org/examples/fie...
Web app: ts.anymap.dev/examples/map...

#geoai #geospatial #deeplearing

Agricultural Field Boundary Delineation (Instance Segmentation) with GeoAI

Learn an end-to-end GeoAI workflow for agricultural field boundary delineation using instance segmentation and the Fields of the World dataset (fieldsofthe.world).

Cloud and Cloud Shadow Detection From Satellite Imagery with GeoAI and OmniCloudMask

This workflow works with imagery that includes Red, Green, and NIR bands (e.g., Landsat, Sentinel-2, NAIP, and other commercial data).

Notebook: opengeoai.org/examples/clo...
Video tutorial: youtu.be/v_5UFPq-E4w