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Beautiful new raster data layers are now available on Google Earth’s intuitive, no-code canvas. 🗺️👉 With the analytical power of Google Earth Engine directly integrated into Google Earth, geospatial analysis is as easy as point and click. Rolling out over the coming days, you will have access to ten... show more

Google Earth

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15,609 Aufrufe • vor 5 Monaten •via X (Twitter)

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We are proud to announce that Google Earth’s data layer coverage has expanded globally 🌍 Learn more 👉 Every high-stakes project happens somewhere. But getting context about that "somewhere" shouldn't require a scavenger hunt. 🌍 Today, we're bringing massive data improvements to Google Earth so you can stop wrangling data and start making decisions: 1️⃣ Global data layer expansion 2️⃣ Google Earth Engine raster data layers 3️⃣ Ask Google Earth data layer integration (Note: Ask Google Earth is currently in Experimental for US web users)

We are proud to announce that Google Earth’s data layer coverage has expanded globally 🌍 Learn more 👉 Every high-stakes project happens somewhere. But getting context about that "somewhere" shouldn't require a scavenger hunt. 🌍 Today, we're bringing massive data improvements to Google Earth so you can stop wrangling data and start making decisions: 1️⃣ Global data layer expansion 2️⃣ Google Earth Engine raster data layers 3️⃣ Ask Google Earth data layer integration (Note: Ask Google Earth is currently in Experimental for US web users)

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Reliable data is the foundation of geospatial work. But gathering it shouldn't require expensive, time-consuming site visits. ⏱️ Google Earth’s data layers just went global. We’ve massively expanded access to geospatial data with global coverage of popular layers and adding entirely new data layers: 🌊 Inundation history (1999-2020) 🚴 Global cycling trip percentages ⛰️ 20m elevation contours Explore these new data layers, now. 👉

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Urban planners spend hours wrangling GIS data for stakeholder presentation, analysis, and reviews. Unify your city planning data in Google Earth with new SHP imports. Securely combine zoning data, environmental constraints, and property boundaries as performant, cloud-native data layers to create a single source of truth for your entire team. Upload your SHP files to Google Earth today.

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🚨 New Tutorial Alert 🚨 Rendering Google Earth Engine & Cloud-Optimized GeoTIFF Tiles in 3D with Google Earth In this tutorial, I demonstrate how to visualize Google Earth Engine tile layers and Cloud Optimized GeoTIFFs (COGs) directly in Google Earth’s 3D environment. This approach lets you bring together high-resolution historical imagery and Street View data into one powerful platform. It’s a simple but effective way to make your geospatial data more accessible—just like sharing a Google Doc link. 🔗 Notebook: ▶️ Video: #geospatial #googleearth #dataviz #earthengine

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Shapefiles have officially landed on Earth. By simply uploading a .zip file, you can render features and attributes as flexible, cloud-native data layers. This is the ultimate silo-breaker for professionals who need to combine local zoning data, property boundaries, and more to get a complete geospatial picture. Add your first Shapefile to Google Earth now.

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326,022 Aufrufe • vor 4 Monaten

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Qiusheng Wu

42,457 Aufrufe • vor 2 Monaten

An AI assistant for Google Earth Engine is now available in QGIS! You can explore and visualize any dataset from the 80+ PB Earth Engine Data Catalog using natural language, and run scalable geospatial analysis on demand without writing code. Every interaction automatically generates reusable code, making it easy to reproduce results, customize workflows, and transition from no-code to full scripting when needed. Upgrade the plugin to get started and bring AI-powered geospatial analytics directly into your QGIS workflow. GitHub: QGIS plugin: GeoAgent: #EarthEngine #QGIS #OpenSource #GeoAI #Geospatial

An AI assistant for Google Earth Engine is now available in QGIS! You can explore and visualize any dataset from the 80+ PB Earth Engine Data Catalog using natural language, and run scalable geospatial analysis on demand without writing code. Every interaction automatically generates reusable code, making it easy to reproduce results, customize workflows, and transition from no-code to full scripting when needed. Upgrade the plugin to get started and bring AI-powered geospatial analytics directly into your QGIS workflow. GitHub: QGIS plugin: GeoAgent: #EarthEngine #QGIS #OpenSource #GeoAI #Geospatial

Qiusheng Wu

17,523 Aufrufe • vor 4 Monaten

🚀 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 /path/to/raster.tif view-vector /path/to/vector.geojson Customize your visualization easily: view-raster /path/to/raster.tif --band 1 --colormap coolwarm view-vector /path/to/vector.geojson --style liberty These CLI tools are powered by Leafmap, MapLibre, and LocalTileserver, supporting all geospatial formats compatible with rasterio and geopandas. 👉 Check it out: #geospatial #datascience #mapping #python

🚀 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 /path/to/raster.tif view-vector /path/to/vector.geojson Customize your visualization easily: view-raster /path/to/raster.tif --band 1 --colormap coolwarm view-vector /path/to/vector.geojson --style liberty These CLI tools are powered by Leafmap, MapLibre, and LocalTileserver, supporting all geospatial formats compatible with rasterio and geopandas. 👉 Check it out: #geospatial #datascience #mapping #python

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13,495 Aufrufe • vor 10 Monaten

For 20 years, you’ve used Google Earth to understand our planet. 2025 was the year you used our new professional tools to change it. 🌍 This year, we launched the tools to help you work #onEarth: 📂 Earth Data Catalog: You accessed rich data layers like zoning, terrain, solar, and more. 🤖 Ask Google Earth: You turned natural language into insight with Gemini. ⏳ Historical Street View: You looked back in time to validate ground truth. 💼 Professional Plans: You unlocked a powerful new canvas for your team. Thank you for an amazing year #onEarth. #GoogleEarth #GeospatialAI #2025Recap #GIS

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Google Earth

36,699 Aufrufe • vor 8 Monaten

Terrain analysis can be make or break for a project.🏗️ Mitigating risk when big deadlines are at play is essential. Even in the city, the grade dictates the budget. Professionals in planning, construction, architecture and more use no-code tools in Google Earth to visualize topography before breaking ground. Combine powerful data layers, on-demand tools, and rich imagery to make better site selection decisions, faster. #googleearth #GIS #BIM

Terrain analysis can be make or break for a project.🏗️ Mitigating risk when big deadlines are at play is essential. Even in the city, the grade dictates the budget. Professionals in planning, construction, architecture and more use no-code tools in Google Earth to visualize topography before breaking ground. Combine powerful data layers, on-demand tools, and rich imagery to make better site selection decisions, faster. #googleearth #GIS #BIM

Google Earth

12,869 Aufrufe • vor 6 Monaten

🎁 A New Year’s gift to the geospatial community: a brand-new QGIS plugin that unlocks access to 80+ petabytes of satellite imagery and geospatial datasets with zero coding required. In my first video of 2026, I’m excited to share what might be one of the most powerful QGIS plugins I’ve built so far. This plugin makes it incredibly easy to explore the official Earth Engine Data Catalog and the Awesome GEE Community Catalog directly inside QGIS. With just a few clicks, you can browse massive Earth Engine datasets, visualize them on the map, generate time series from ImageCollections, export data for further analysis, and even convert Earth Engine JavaScript workflows to Python, all without writing a single line of code. If you’ve ever wanted the power of Earth Engine inside QGIS without the learning curve, this plugin is for you. 👉 Download the plugin and follow the full step-by-step video tutorial to get started today: QGIS Plugin Page: GitHub Repository: Video Tutorial: Happy New Year, and I hope this tool helps you do more with geospatial data in 2026 🚀 #QGIS #geospatial #EarthEngine #Python #datascience

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85,182 Aufrufe • vor 8 Monaten

📢Exciting new feature in #Leafmap! 🌟 You can now visualize #EarthEngine data on a stunning 3D terrain with #MapLibre 🗺️ Browse the massive 100+ PB Earth Engine Data Catalog and overlay any dataset on an interactive 3D map. 🌍 This demo showcases the ESA global land cover dataset with 3D buildings on top 🌳 GitHub: Notebook: #geospatial #opensource #dataviz #python

📢Exciting new feature in #Leafmap! 🌟 You can now visualize #EarthEngine data on a stunning 3D terrain with #MapLibre 🗺️ Browse the massive 100+ PB Earth Engine Data Catalog and overlay any dataset on an interactive 3D map. 🌍 This demo showcases the ESA global land cover dataset with 3D buildings on top 🌳 GitHub: Notebook: #geospatial #opensource #dataviz #python

Qiusheng Wu

18,248 Aufrufe • vor 2 Jahren

🚀 Exciting news! The GeoAI Python package just got a major upgrade. It now supports interactive geospatial data visualization powered by AI Agents. 🌍✨ GitHub: Full tutorial: 🌍 In this tutorial, you’ll learn how to build interactive maps powered by AI agents that respond to natural language queries. Watch how you can fly to any city, add raster or vector layers, visualize 3D buildings, and explore geospatial data—all without writing code. Perfect for developers, researchers, and anyone curious about AI, GIS, and interactive mapping. #geospatial #mapping #python #GeoAI #AI

🚀 Exciting news! The GeoAI Python package just got a major upgrade. It now supports interactive geospatial data visualization powered by AI Agents. 🌍✨ GitHub: Full tutorial: 🌍 In this tutorial, you’ll learn how to build interactive maps powered by AI agents that respond to natural language queries. Watch how you can fly to any city, add raster or vector layers, visualize 3D buildings, and explore geospatial data—all without writing code. Perfect for developers, researchers, and anyone curious about AI, GIS, and interactive mapping. #geospatial #mapping #python #GeoAI #AI

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12,831 Aufrufe • vor 11 Monaten