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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...

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Google Earth

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15,497 просмотров • 3 месяцев назад •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)
1:04

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)

Google Earth

34,966 просмотров • 4 месяцев назад

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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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. 👉

Google Earth

17,125 просмотров • 3 месяцев назад

Acquiring foundational site details usually means traveling to sites, finding utility access points, and tracking down disparate data sources. Google Earth is changing the way professionals work. New AI-powered data layers in Google Earth pull from billions of Google Street View images to map infrastructure assets like fire hydrants, storm drains, and more. Plus, when combined with new building footprints and land parcels you have powerful, time-saving data a click away. Inspecting utility access and site constraints from anywhere is now even easier with Google Earth. These layers are now available for Professional & Professional Advanced customers on web and Android, with coverage expanding over the coming weeks.
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Acquiring foundational site details usually means traveling to sites, finding utility access points, and tracking down disparate data sources. Google Earth is changing the way professionals work. New AI-powered data layers in Google Earth pull from billions of Google Street View images to map infrastructure assets like fire hydrants, storm drains, and more. Plus, when combined with new building footprints and land parcels you have powerful, time-saving data a click away. Inspecting utility access and site constraints from anywhere is now even easier with Google Earth. These layers are now available for Professional & Professional Advanced customers on web and Android, with coverage expanding over the coming weeks.

Google Earth

76,341 просмотров • 1 месяц назад

Google Earth's data catalog is expanding. 🌍 We've rolled out new data layers to Australia, Western Europe, and the Nordics. Access critical layers like our digital elevation model, EV infrastructure, population density, heat resilience layers, and more. Make high-stakes decisions with the confidence of the richest, freshest geospatial models and imagery in the world at your fingertips.
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Google Earth's data catalog is expanding. 🌍 We've rolled out new data layers to Australia, Western Europe, and the Nordics. Access critical layers like our digital elevation model, EV infrastructure, population density, heat resilience layers, and more. Make high-stakes decisions with the confidence of the richest, freshest geospatial models and imagery in the world at your fingertips.

Google Earth

12,152 просмотров • 6 месяцев назад

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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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.

Google Earth

20,526 просмотров • 2 месяцев назад

See your data on Google Earth's real-world canvas. You can now import large-scale KML and GeoJSON datasets—up to billions of features—directly into Google Earth. Don’t just view your data; validate it against reality. Customize styling, create custom data layers, and uncover new insights to create visualizations that drive decisions. Take advantage of increased storage and file size quotas in our professional plans to securely overlay your proprietary intelligence atop our trusted imagery and data layers to create a single source of truth.
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See your data on Google Earth's real-world canvas. You can now import large-scale KML and GeoJSON datasets—up to billions of features—directly into Google Earth. Don’t just view your data; validate it against reality. Customize styling, create custom data layers, and uncover new insights to create visualizations that drive decisions. Take advantage of increased storage and file size quotas in our professional plans to securely overlay your proprietary intelligence atop our trusted imagery and data layers to create a single source of truth.

Google Earth

25,901 просмотров • 5 месяцев назад

🚨 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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🚨 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

Qiusheng Wu

16,391 просмотров • 10 месяцев назад

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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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.

Google Earth

170,675 просмотров • 2 месяцев назад

There's a whole new way to work on Earth. 🌎 Combining iconic imagery with professional-grade data, no-code tools, and Gemini capabilities, Google Earth empowers professionals to validate reality remotely, de-risk projects early, and make better, faster decisions. For decades users across the world have trusted Google Earth’s ground-breaking imagery of the real world. In today’s world, decisions are moving faster than traditional analysis can keep up. Google Earth is evolving to meet this challenge and save you time at work.
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There's a whole new way to work on Earth. 🌎 Combining iconic imagery with professional-grade data, no-code tools, and Gemini capabilities, Google Earth empowers professionals to validate reality remotely, de-risk projects early, and make better, faster decisions. For decades users across the world have trusted Google Earth’s ground-breaking imagery of the real world. In today’s world, decisions are moving faster than traditional analysis can keep up. Google Earth is evolving to meet this challenge and save you time at work.

Google Earth

32,727 просмотров • 3 месяцев назад

Introducing new data layers for building footprints, land parcels, and AI powered layers that spot infrastructure assets from Street View imagery. Try these new layers now ➡️ With information right at your fingertips you can spend less time combining data, manually identifying assets, and combing through imagery. These premium layers are now available for Professional & Professional Advanced customers on web and Android.
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Introducing new data layers for building footprints, land parcels, and AI powered layers that spot infrastructure assets from Street View imagery. Try these new layers now ➡️ With information right at your fingertips you can spend less time combining data, manually identifying assets, and combing through imagery. These premium layers are now available for Professional & Professional Advanced customers on web and Android.

Google Earth

31,004 просмотров • 1 месяц назад

Streamline early-stage workflows with new terrain analysis data layers. ⛰️ Use our new digital elevation model to visualize slope and elevation constraints directly on our 3D canvas. Whether you are trying to speed up site assessment or ensure site feasibility, you can now analyze terrain and validate reality remotely. This is just one of countless powerful data layers now available to help you make better decisions, faster.
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Streamline early-stage workflows with new terrain analysis data layers. ⛰️ Use our new digital elevation model to visualize slope and elevation constraints directly on our 3D canvas. Whether you are trying to speed up site assessment or ensure site feasibility, you can now analyze terrain and validate reality remotely. This is just one of countless powerful data layers now available to help you make better decisions, faster.

Google Earth

14,002 просмотров • 6 месяцев назад

Today, we’re thrilled to announce the launch of Shapefile and 3D model import support on Google Earth. Plus, we’ve also added elevation profiles to the measure tool just for… good measure! You’ve made it clear. You want to be able to bring more of your data and models to Google Earth’s real-world canvas. We're excited to take the next step in delivering on that promise with these new features: 🔶 Shapefiles (SHP): Render industry-standard geospatial data as performant, cloud-native layers. 💡 3D Models (GLB): Place custom architectural mock-ups, massings, and more in a visually rich context. 🗻 Elevation Profiles: View detailed terrain data in the measure tool you already know and love. These new features are live now on Google Earth!
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Today, we’re thrilled to announce the launch of Shapefile and 3D model import support on Google Earth. Plus, we’ve also added elevation profiles to the measure tool just for… good measure! You’ve made it clear. You want to be able to bring more of your data and models to Google Earth’s real-world canvas. We're excited to take the next step in delivering on that promise with these new features: 🔶 Shapefiles (SHP): Render industry-standard geospatial data as performant, cloud-native layers. 💡 3D Models (GLB): Place custom architectural mock-ups, massings, and more in a visually rich context. 🗻 Elevation Profiles: View detailed terrain data in the measure tool you already know and love. These new features are live now on Google Earth!

Google Earth

324,850 просмотров • 2 месяцев назад

GeoLibre v0.9.0 is out. GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop and web environments, with a responsive layout for mobile screens. This release turns GeoLibre into a far more complete analysis environment. Highlights: - New cloud data panels for Microsoft Planetary Computer and Google Earth Engine, plus an Overture Maps plugin and federal Web Services plugins, including NASA Earthdata, USGS National Map, EPA EnviroAtlas, FEMA NFHL - Accessing 1000+ NASA Earthdata layers with a few simple clicks - Time Slider plugin for animating time series raster and vector data - SQL Workspace: run DuckDB Spatial SQL directly against loaded layers, local files, and remote URLs, with query history and one-click "add results to map" - Conversion tools: Vector to GeoParquet, CSV to GeoParquet, and Raster to COG, running in the browser with DuckDB-WASM - Controls menu with Measure, Bookmark, Minimap, View State, and Print Everything is open source. Try it in your browser, install the desktop app, or self-host it. Live demo: GitHub: Feedback and contributions are welcome. #GIS #Geospatial #OpenSource #MapLibre #DuckDB #WebGIS #GeoLibre
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GeoLibre v0.9.0 is out. GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop and web environments, with a responsive layout for mobile screens. This release turns GeoLibre into a far more complete analysis environment. Highlights: - New cloud data panels for Microsoft Planetary Computer and Google Earth Engine, plus an Overture Maps plugin and federal Web Services plugins, including NASA Earthdata, USGS National Map, EPA EnviroAtlas, FEMA NFHL - Accessing 1000+ NASA Earthdata layers with a few simple clicks - Time Slider plugin for animating time series raster and vector data - SQL Workspace: run DuckDB Spatial SQL directly against loaded layers, local files, and remote URLs, with query history and one-click "add results to map" - Conversion tools: Vector to GeoParquet, CSV to GeoParquet, and Raster to COG, running in the browser with DuckDB-WASM - Controls menu with Measure, Bookmark, Minimap, View State, and Print Everything is open source. Try it in your browser, install the desktop app, or self-host it. Live demo: GitHub: Feedback and contributions are welcome. #GIS #Geospatial #OpenSource #MapLibre #DuckDB #WebGIS #GeoLibre

Qiusheng Wu

42,102 просмотров • 1 месяц назад

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
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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

17,352 просмотров • 2 месяцев назад

🚀 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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🚀 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

Qiusheng Wu

13,456 просмотров • 9 месяцев назад

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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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

Google Earth

36,699 просмотров • 6 месяцев назад

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
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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 просмотров • 5 месяцев назад

🎁 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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🎁 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

Qiusheng Wu

84,918 просмотров • 6 месяцев назад

📢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
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📢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

18,219 просмотров • 2 лет назад

🚀 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
1:16

🚀 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

Qiusheng Wu

12,831 просмотров • 9 месяцев назад