Create Stunning Time-Series Satellite Images in Seconds! The GEE... Data Catalogs Plugin v0.5 for QGIS is now available and it's a powerful upgrade. You can now create time-series satellite imagery with just a few clicks using a simple interface. The new version also supports direct downloads to your computer, making the workflow faster and more efficient. Key Features: - Access over 80 petabytes of satellite and geospatial datasets from Google Earth Engine - Generate animated time-series imagery effortlessly - Export results directly from QGIS to your local machine Useful Links: QGIS Plugin Page: GitHub Repository: Video Tutorial: #QGIS #geospatial #EarthEngine #Python #datascience #satelliteshow more

Tree extraction from satellite imagery using segment-geospatial v0.5 and... the Segment Anything Model (SAM) - by Lucas Prado Osco LinkedIn post: Notebook: #geospatial #segmentanythingshow more

A very useful plugin for QGIS called the Layer... Grid View ( developed by colleges at LAPIG / animation by Leandro Leal Parente . The data shown is the monthly FAPAR time-series at 250m resolution 2000-2021 available from:show more

🚀 The #GeoAI Python package now supports feature segmentation... from high-resolution satellite and aerial imagery using text prompts, such as trees, buildings, etc. It efficiently processes large datasets with automatic tiling and can save results as a single image. Stay tuned for more features coming soon! 📓 Access the notebook: 🛠️ Explore the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearningshow more

🚀 A sneak peek of a new feature in... the #GeoAI Python package! Now you can train an image segmentation model for extracting features (e.g., buildings) from satellite or aerial imagery—all with just a few lines of code. 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearningshow more

A sneak peak of segment-geospatial v0.4.0 - Automatically generating... object masks for satellite imagery GitHub: Notebook: #geospatial #deeplearning #segmentanythingshow more

segment-geospatial v0.3.0 is out - segmenting satellite imagery with... the Segment Anything Model (SAM). GitHub: Docs: Notebook: #segmentanything #deeplearning #geopython #geospatialshow more

Removing clouds from satellite images with a few clicks... using That's fun. Try it out: Image source: #AI #deeplearning #geospatialshow more

Check out this 📹 step-by-step tutorial on how to... visualize and download 🛰️ satellite images of the #Morocco earthquake using the Maxar Open Data on #AWS. Video: Web App: GitHub: Notebook: #moroccoearthquake #geospatial #dataviz #pythonshow more

🇺🇸 🇮🇷 Satellite blackout hits the Iran war A... major imaging firm halted satellite images after a U.S. request, limiting public access to real-time visuals from the region to prevent adversaries from using the data to track and target U.S. forces.show more

There is no better way to work with your... #QGIS maps on the web. Download the plugin & start sharing maps with your team.show more

Cloud and Cloud Shadow Detection From Satellite Imagery with... GeoAI and OmniCloudMask In this tutorial, you’ll detect clouds and cloud shadows, compute cloud statistics, clean segmentation outputs, convert raster masks to vectors, smooth boundaries, and generate a cloud-free mask for downstream remote sensing analysis. This workflow works with imagery that includes Red, Green, and NIR bands (e.g., Landsat, Sentinel-2, NAIP, and other commercial data). Notebook: Video tutorial: #geospatial #remotesensing #geoaishow more

Google just wired DeepMind and Earth Engine directly into... the biggest geospatial dataset on the planet. For two decades, millions of people used Google Earth to scale the Himalayas or zoom in on their childhood neighbourhoods. In 2026, Google is basically trying to shift the entire platform toward professional execution. They turned a massive digital twin of the world into an agentic AI engine for global infrastructure. The technical foundation is (obviously) all about data. Google integrated 20-metre and 40-metre elevation contours globally. Engineers and urban planners now have instant access to the exact topographic context required for site planning anywhere on Earth. The data catalogue updates continuously to maintain the freshest imagery possible. Collaboration used to kill geospatial projects. Teams would lose momentum through stale materials or bad handoffs. Google fixed this by building frictionless data import systems. You can now drop KML, KMZ, and GeoJSON files directly onto the global map. Entire departments can align on a single source of truth, moving from a raw question to a definitive answer instantly. The biggest upgrade is the introduction of agentic geospatial intelligence. Users can open 'Ask Google Earth' and search massive satellite and Street View databases using natural language. You type a command, and the AI handles the manual data wrangling. It identifies new site locations and analyses infrastructure before you even open a spreadsheet.show more

Timelapse in Google Earth is a zoomable time-lapse video... of the planet, showing how it's changed over the years — and it now features new imagery of nearly 40 years of global change. Learn more and explore →show more

🚀 Free High Quality Satellite Imagery With Playback Today,... we're introducing beautiful high quality satellite imagery from the GOES weather satellites. Free for all users: • Access to all 16 bands (L1b products) • Coverage across CONUS, both Mesoscale sectors and Full Disk • Playback with up to 15 frames • Real-time updates • Inspect the data directly on the map Plus subscribers unlock more: • Imagery displayed on a 3D globe (Globe Projection) • Split View to compare bands side-by-side • Playback with up to 50 frames • Smoothing options: see the raw data or a polished look • RenderStream for faster loading when in low cell service areas Tropical season is now here - stay one step ahead Available on: iOS: Android: Browser: And to Plus subscribers using our Windows/Mac Appshow more

Get your QGIS map on the web with our... plug-in. Polish and share with a single click.show more

Excited to announce that Aurora: our geospatial analysis platform... is live to test! Designed as a full-service toolkit, this easy-to-use analytics dashboard will help businesses simplify insights from satellite imagery. To know more fill in the form: 💪show more

🚨What Happened in the Gulf That Satellite Images Had... to Be Delayed 🚨Something catastrophic just happened in the Gulf. The American satellite company Planet Labs has imposed a 96 hour blackout on new satellite imagery covering the Gulf states, Iraq, and Kuwait. Why would imagery suddenly be delayed? Because real time satellite photos would immediately reveal the scale of destruction to military facilities. Reports confirm Iran launched missile and drone strikes targeting the U.S. Fifth Fleet headquarters at Naval Support Activity Bahrain in Manama. Explosions were seen across the base. Buildings damaged. Infrastructure hit. Communications facilities struck. And now the satellite feed over the entire region just went dark. When imagery gets delayed during wartime… It usually means the damage is massive and the full picture isn’t ready to be revealed. Four days. That’s how long the world may have to wait to see what really happened. #SilentMajoritySpeaks #AStoneGrooveshow more

A sneak peek of a new feature in the... #GeoAI Python package! 🎉 Now you can detect cars from georeferenced aerial imagery using deep learning—all with just a few lines of code. Stay tuned for an in-depth video tutorial coming soon! 🛠️ Explore the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist:show more

From above: Satellite imagery captures powerful tornado-producing supercells over... northern Oklahoma Thursday night.show more