正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Master professional Google Earth workflows. Watch the complete tutorial with Product Lead Brian Ho. • Inspect 3D imagery: Examine site boundaries, structure heights, and sight lines directly on the real-world canvas. • Add curated data layers: Overlay parcel boundaries, zoning regulations, and elevation models directly in your workspace. •... show more

Google Earth

1,117,925 subscribers

34,140 次观看 • 1 天前 •via X (Twitter)

教育科学技术

Anya Rossi• Live Now

Private livecam show

4 条评论

techyeslogy 🇹🇷🇵🇸 的头像

techyeslogy 🇹🇷🇵🇸22 小时前

For the mobile app, could you add a backgroundless 2x2 (expandable) moving live(day and night) globe widget?

FarisSpace 的头像

FarisSpace12 小时前

Google Earth is evolving from a visualization tool into a powerful geospatial intelligence workspace. 🌍 3D context + terrain analysis + data layers + AI agents = a smarter way to understand, plan, and build in the real world. The future of spatial computing is already here.

Christopher Samelius 的头像

Christopher Samelius1 天前

Thats why i love Google Earth.

Fui Afeku 的头像

Fui Afeku20 小时前

Good evening @Android @Google: score spectacle reimagining gripping imagery rolled calligraphic energy tripping bills,illustrations and lessons regulating regional ventures destiny; interview schemes deserting ‘wellness issue’ recalibrating assignment limits cites a study,bravo!

相关视频

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 new raster layers from Earth Engine's iconic data catalog, including: • Slope • Aspect • Land cover • and more It's never been easier to quickly combine raster data, vector data, imagery, and your own data to save time and make better decisions. Explore these new data layers, now.

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 new raster layers from Earth Engine's iconic data catalog, including: • Slope • Aspect • Land cover • and more It's never been easier to quickly combine raster data, vector data, imagery, and your own data to save time and make better decisions. Explore these new data layers, now.

Google Earth

15,693 次观看 • 5 个月前

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.

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 次观看 • 8 个月前

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!

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

326,212 次观看 • 4 个月前

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.

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

171,078 次观看 • 4 个月前

A lot has changed on Google Earth recently. Learn how to take advantage of our new professional features from Group Product Manager, Brian Ho, in our new Google Earth Tutorial! You'll learn about everything from data importing and imagery to Gemini-capabilities. Use these new skills to help you save time at work and bring your ideas to life.

A lot has changed on Google Earth recently. Learn how to take advantage of our new professional features from Group Product Manager, Brian Ho, in our new Google Earth Tutorial! You'll learn about everything from data importing and imagery to Gemini-capabilities. Use these new skills to help you save time at work and bring your ideas to life.

Google Earth

39,532 次观看 • 1 个月前

🚨 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

🚨 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

16,480 次观看 • 1 年前

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.

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

32,985 次观看 • 5 个月前

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'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 次观看 • 8 个月前

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.

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 次观看 • 7 个月前

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

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 次观看 • 8 个月前

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.

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

77,178 次观看 • 3 个月前

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

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

42,457 次观看 • 3 个月前

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 次观看 • 7 个月前

GeoLibre v2.0.0 is here! GeoLibre is a free and open-source geospatial platform that runs everywhere: as a native desktop app, in the browser, on Android, and embedded right inside Jupyter notebooks. It brings modern web mapping, cloud-native data formats, and a full processing toolbox together in one place, all built on MapLibre and with no proprietary lock-in. Our first major release adds a true 3D globe, takes mapping beyond Earth to Mars and the Moon, lets styles round-trip with QGIS, and turns loaded vector layers into editable, save-back-to-source data. What's new in v2.0.0 - Planetary mapping: explore Mars, the Moon, and other bodies with the OpenPlanetaryMap basemaps, a per-project ellipsoid, and a planet switcher right in the Layers panel. - CesiumJS 3D globe: switch any map pane to a photorealistic 3D globe that stays camera-synced with your 2D maps and mirrors the layer stack. - True 3D data: render vector layers with Z coordinates, load TIN/MultiPatch 3D shapefiles, and display KML/KMZ Collada (.dae) 3D models. - Symbology interchange: import and export vector styling as OGC SLD, QGIS QML, and Mapbox GL style JSON, so styles round-trip between GeoLibre, QGIS, and the Mapbox/MapLibre ecosystem. - Editable source layers: edit vector layers and write the changes back to their source, including GeoPackage and GeoJSON files and PostGIS database tables. - Weather and sky: a new Weather menu with live cloud and precipitation radar overlays (RainViewer), plus a Google Earth-style sun position simulation for realistic lighting. - Terrain and lighting: double-click the terrain control to set vertical exaggeration, and view any scene in true 3D relief. - Smarter data import: bring in CSV without coordinates as an attribute table, split GPX track points and route points into separate layers, and load macOS-zipped and projected-CRS shapefiles. - Raster in the browser: build normalized-difference indices for any HTTP COG and extract COG/WMS/XYZ bounding-box subsets client-side. - Field Calculator upgrades: compute geometry length and area directly on your features. - Attribute table: multi-select rows with Ctrl and Shift, plus faster navigation. - Google Earth-style extras: "View in Google Maps / Google Earth" actions, camera-reset keyboard shortcuts, and a UTM easting/northing grid mode for the Gridlines overlay. - New plugins: a Mapillary coverage and street-level image viewer, a Historical Imagery panel, and an Elevation Profile tool. - Fully localized: all 13 language catalogs are complete, so the entire UI is translatable. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

36,217 次观看 • 2 个月前

Google has added its flight simulator to the web version of Google Earth, making it available to all users worldwide. >The feature runs directly in any modern browser at with no downloads or installations required. >Users can open the simulator from the Tools menu after selecting Explore and pilot a virtual aircraft over detailed 3D terrain, buildings, and satellite imagery across the entire planet. >It uses simplified flight physics designed for casual exploration and works with standard mouse and keyboard controls.

Google has added its flight simulator to the web version of Google Earth, making it available to all users worldwide. >The feature runs directly in any modern browser at with no downloads or installations required. >Users can open the simulator from the Tools menu after selecting Explore and pilot a virtual aircraft over detailed 3D terrain, buildings, and satellite imagery across the entire planet. >It uses simplified flight physics designed for casual exploration and works with standard mouse and keyboard controls.

Pirat_Nation 🔴

100,432 次观看 • 3 个月前

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

17,556 次观看 • 4 个月前

🌍 New Tutorial Alert: Visualizing Google's AlphaEarth Satellite Embeddings in 3D! 🛰️🏙️ Google DeepMind has released AlphaEarth, a groundbreaking satellite embedding dataset on Google Earth Engine. It includes annual global embeddings from 2017 to 2024, where each pixel covers a 10×10 meter area. In this tutorial, you'll learn how to: ✅ Access and visualize AlphaEarth embeddings in 3D ✅ Leverage them for machine learning and change detection 🎥 Watch the tutorial: 📘 Try the notebook: #GeoAI #geospatial #AI #Python #DeepLearning

🌍 New Tutorial Alert: Visualizing Google's AlphaEarth Satellite Embeddings in 3D! 🛰️🏙️ Google DeepMind has released AlphaEarth, a groundbreaking satellite embedding dataset on Google Earth Engine. It includes annual global embeddings from 2017 to 2024, where each pixel covers a 10×10 meter area. In this tutorial, you'll learn how to: ✅ Access and visualize AlphaEarth embeddings in 3D ✅ Leverage them for machine learning and change detection 🎥 Watch the tutorial: 📘 Try the notebook: #GeoAI #geospatial #AI #Python #DeepLearning

Qiusheng Wu

26,043 次观看 • 1 年前

I am excited to introduce OpenGeoAgent, a powerful open-source multimodal AI agent for automated geospatial analysis and visualization! It supports QGIS, Jupyter notebook, and Python scripting. In this tutorial, you’ll learn how to automate GIS workflows using natural language, generate maps, analyze satellite data, and even run complex hydrological models. You can even interact with the agent using voice commands (no typing needed). Video: GitHub: QGIS Plugin: #geospatial #GeoAgent #OpenSource #AI

I am excited to introduce OpenGeoAgent, a powerful open-source multimodal AI agent for automated geospatial analysis and visualization! It supports QGIS, Jupyter notebook, and Python scripting. In this tutorial, you’ll learn how to automate GIS workflows using natural language, generate maps, analyze satellite data, and even run complex hydrological models. You can even interact with the agent using voice commands (no typing needed). Video: GitHub: QGIS Plugin: #geospatial #GeoAgent #OpenSource #AI

Qiusheng Wu

63,126 次观看 • 4 个月前

Hi Friends, for my first project created with GPT-6 Astra, I built the entire city of Seoul in 3D—a small revolution in digital geography! 😄 This interactive 3D miniature covers all of Seoul and its surrounding areas, and you can explore it yourself. It includes: • All 25 districts of Seoul and approximately 267,000 simplified building models • Rotate, zoom, and pan controls, plus an automated fly-through of 14 landmarks • Day, sunset, and night modes • Mobile touch support The buildings were generated from real-world map data, with their shapes simplified for performance. Terrain and building heights are exaggerated by 4× to make the cityscape easier to see. The entire process—from creating the project to completing deployment—took 43 minutes and 38 seconds minutes. Please note that the buildings are simplified models based on locations and footprints recorded in OpenStreetMap. Where height data is unavailable, estimated heights derived from the source data are used. The landmark models are interpretive recreations designed to emphasize their distinctive features, rather than survey-grade or photorealistic reconstructions of every building. The project is based on real road, waterway, elevation, and building data. • Maps and buildings: OpenFreeMap / OpenMapTiles / © OpenStreetMap contributors · ODbL Data snapshot: August 30, 2026 • Terrain: AWS Terrain Tiles / Mapzen · SRTM and other sources • District boundaries: southkorea/seoul-maps · Statistics Korea’s 2013 boundaries These may differ from Seoul’s current administrative boundaries. • 3D rendering: Three.js • Additional components: terrain, road, and building data, subject to their respective licenses

Hi Friends, for my first project created with GPT-6 Astra, I built the entire city of Seoul in 3D—a small revolution in digital geography! 😄 This interactive 3D miniature covers all of Seoul and its surrounding areas, and you can explore it yourself. It includes: • All 25 districts of Seoul and approximately 267,000 simplified building models • Rotate, zoom, and pan controls, plus an automated fly-through of 14 landmarks • Day, sunset, and night modes • Mobile touch support The buildings were generated from real-world map data, with their shapes simplified for performance. Terrain and building heights are exaggerated by 4× to make the cityscape easier to see. The entire process—from creating the project to completing deployment—took 43 minutes and 38 seconds minutes. Please note that the buildings are simplified models based on locations and footprints recorded in OpenStreetMap. Where height data is unavailable, estimated heights derived from the source data are used. The landmark models are interpretive recreations designed to emphasize their distinctive features, rather than survey-grade or photorealistic reconstructions of every building. The project is based on real road, waterway, elevation, and building data. • Maps and buildings: OpenFreeMap / OpenMapTiles / © OpenStreetMap contributors · ODbL Data snapshot: August 30, 2026 • Terrain: AWS Terrain Tiles / Mapzen · SRTM and other sources • District boundaries: southkorea/seoul-maps · Statistics Korea’s 2013 boundaries These may differ from Seoul’s current administrative boundaries. • 3D rendering: Three.js • Additional components: terrain, road, and building data, subject to their respective licenses

synabreu

331,302 次观看 • 9 天前

🎁 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

85,182 次观看 • 8 个月前