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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...

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Qiusheng Wu

50,973 subscribers

18,216 次观看 • 1 年前 •via X (Twitter)

#Leafmap#EarthEngine#MapLibre
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Ammaz 🔻 的头像
Ammaz 🔻1 年前

That's insane. Super cool! 😊

Emmanuel Yerbo 的头像
Emmanuel Yerbo1 年前

Just wow 😲

相关视频

📢 Exciting news! Leafmap now supports creating 3D 🌎 maps with Mapbox! This demo showcases how to visualize the ESA global land cover from #EarthEngine on a 3D globe. Explore the 100 PB+ Earth Engine Data Catalog and display any geospatial datasets in 3D 🚀 Notebook: #leafmap #geospatial #opensource #python
0:26

📢 Exciting news! Leafmap now supports creating 3D 🌎 maps with Mapbox! This demo showcases how to visualize the ESA global land cover from #EarthEngine on a 3D globe. Explore the 100 PB+ Earth Engine Data Catalog and display any geospatial datasets in 3D 🚀 Notebook: #leafmap #geospatial #opensource #python

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Visualize real-time movement data in 3D with #Leafmap and #MapLibre 🗺️💻 Update GPS tracking data from vehicles, animals, hikers, sports, and more on interactive 3D maps! 🚗🐘🚴‍♀️⚽ GitHub: Notebook: #geospatial #dataviz #opensource #python 🌍📊🐍
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Visualize real-time movement data in 3D with #Leafmap and #MapLibre 🗺️💻 Update GPS tracking data from vehicles, animals, hikers, sports, and more on interactive 3D maps! 🚗🐘🚴‍♀️⚽ GitHub: Notebook: #geospatial #dataviz #opensource #python 🌍📊🐍

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20,514 次观看 • 2 年前

🚀 Leafmap now supports visualizing geospatial data on a stunning 3D globe with MapLibre 🌍. Create stunning 3D maps with just a few lines of Python code! 🎥 Check out the full tutorial: 📓 Dive into the notebook: 🌐 Try the demo: #Geospatial #3DMapping #Python
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🚀 Leafmap now supports visualizing geospatial data on a stunning 3D globe with MapLibre 🌍. Create stunning 3D maps with just a few lines of Python code! 🎥 Check out the full tutorial: 📓 Dive into the notebook: 🌐 Try the demo: #Geospatial #3DMapping #Python

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10,980 次观看 • 1 年前

How to Create a Spinning Globe 🌍 with Your Own Data Layers (No Coding Required) Learn how to create a spinning 3D globe map without writing any code using a simple web-based tool. In this step-by-step geospatial tutorial, you'll see how to build an interactive spinning globe, overlay raster and vector data layers, and visualize datasets directly in your browser or in a Jupyter Notebook environment. Web-based demo: Jupyter notebook demo: Video tutorial: #geospatial #opensource #python #jupyter #maplibre
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How to Create a Spinning Globe 🌍 with Your Own Data Layers (No Coding Required) Learn how to create a spinning 3D globe map without writing any code using a simple web-based tool. In this step-by-step geospatial tutorial, you'll see how to build an interactive spinning globe, overlay raster and vector data layers, and visualize datasets directly in your browser or in a Jupyter Notebook environment. Web-based demo: Jupyter notebook demo: Video tutorial: #geospatial #opensource #python #jupyter #maplibre

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🚀 New Tutorial Alert! I just published a step-by-step guide on building an interactive dashboard with Python and Leafmap. 🌍📊 Explore the Jupyter Notebook: Watch the full video tutorial: #leafmap #geospatial #python #dataviz
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🚀 New Tutorial Alert! I just published a step-by-step guide on building an interactive dashboard with Python and Leafmap. 🌍📊 Explore the Jupyter Notebook: Watch the full video tutorial: #leafmap #geospatial #python #dataviz

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16,755 次观看 • 9 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
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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

17,225 次观看 • 1 个月前

🚀 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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🚀 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

12,828 次观看 • 8 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
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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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16,391 次观看 • 9 个月前

🚀 Introducing the Earth Engine Dataset Explorer, powered by Google #Gemini! 🌍✨ Struggling to find the right #geospatial datasets for your research? Our Dataset Explorer recommends tailored datasets and offers an interactive exploration experience. 📹 Check out the video tutorial: 📒 Explore the notebook: #geemap #OpenSource #AI #EarthEngine
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🚀 Introducing the Earth Engine Dataset Explorer, powered by Google #Gemini! 🌍✨ Struggling to find the right #geospatial datasets for your research? Our Dataset Explorer recommends tailored datasets and offers an interactive exploration experience. 📹 Check out the video tutorial: 📒 Explore the notebook: #geemap #OpenSource #AI #EarthEngine

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23,929 次观看 • 1 年前

🌍 Visualizing the Annual National Land Cover Database (NLCD) using #leafmap on 🚀 Create, run, edit, and share Python applications seamlessly in your browser. Check it out here: #geospatial #opensource #python #dataviz
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🌍 Visualizing the Annual National Land Cover Database (NLCD) using #leafmap on 🚀 Create, run, edit, and share Python applications seamlessly in your browser. Check it out here: #geospatial #opensource #python #dataviz

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10,212 次观看 • 1 年前

🌍 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
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🌍 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

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25,937 次观看 • 10 个月前

🚀 Visualizing Planet’s Tanager Hyperspectral Data in 3D! 🌍🛰️ Create an interactive image cube to explore the internal structure of all 426 spectral bands captured by Planet’s Tanager mission — going far beyond the traditional RGB view of desktop GIS tools. This approach allows for a deeper comparison of spectral characteristics across different land cover types and supports more advanced geospatial analysis. 📓 Try the notebook example: 💻 Explore the code on GitHub: #Hyperspectral #Geospatial #Tanager #Python #DataScience #OpenSource
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🚀 Visualizing Planet’s Tanager Hyperspectral Data in 3D! 🌍🛰️ Create an interactive image cube to explore the internal structure of all 426 spectral bands captured by Planet’s Tanager mission — going far beyond the traditional RGB view of desktop GIS tools. This approach allows for a deeper comparison of spectral characteristics across different land cover types and supports more advanced geospatial analysis. 📓 Try the notebook example: 💻 Explore the code on GitHub: #Hyperspectral #Geospatial #Tanager #Python #DataScience #OpenSource

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11,286 次观看 • 11 个月前

🎁 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
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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

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An interactive web app for visualizing Google Open Buildings!🏢🌍 🔗Web App: 🔗GitHub: #geospatial #solara #leafmap #opendata #dataviz
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An interactive web app for visualizing Google Open Buildings!🏢🌍 🔗Web App: 🔗GitHub: #geospatial #solara #leafmap #opendata #dataviz

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Visualizing Google-Microsoft Open Building Datasets (165 GB) with #PMTiles and #leafmap with just a few lines of code 🗺️ App: Notebook: GitHub: #geospatial #opendata #dataviz
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38,690 次观看 • 2 年前

Introducing a new #Python package called mapwidget - creating interactive 3D maps in a Jupyter environment using popular JavaScript libraries, such as #CesiumJS, #Mapbox, #MapLibre, #Leaflet, and #OpenLayers GitHub: #geospatial #gischat #anywidget
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Introducing a new #Python package called mapwidget - creating interactive 3D maps in a Jupyter environment using popular JavaScript libraries, such as #CesiumJS, #Mapbox, #MapLibre, #Leaflet, and #OpenLayers GitHub: #geospatial #gischat #anywidget

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154,809 次观看 • 3 年前

Automatic code generation and data visualization for #EarthEngine and #geemap using #Gemini 🚀 Explore the power of cloud computing and #geospatial big data with minimal coding 🌎. Gemini can interpret the data on the map and iteratively improve the visualization. Check out the notebook:
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Automatic code generation and data visualization for #EarthEngine and #geemap using #Gemini 🚀 Explore the power of cloud computing and #geospatial big data with minimal coding 🌎. Gemini can interpret the data on the map and iteratively improve the visualization. Check out the notebook:

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22,322 次观看 • 1 年前

🚀 Alpha Launch: Insta360 Integration is NOW LIVE on OVER! We're building the world's largest 3D dataset, and you can help! 🛠️ Turn your Insta360 camera into a powerful 3D mapping tool. Create navigable Mega Gaussian Splats & stunning, scalable 3D maps up to 30x faster! With your Insta360, you can map over 60 OVRLands in just 10 minutes!
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🚀 Alpha Launch: Insta360 Integration is NOW LIVE on OVER! We're building the world's largest 3D dataset, and you can help! 🛠️ Turn your Insta360 camera into a powerful 3D mapping tool. Create navigable Mega Gaussian Splats & stunning, scalable 3D maps up to 30x faster! With your Insta360, you can map over 60 OVRLands in just 10 minutes!

Over the Reality 🌐

65,095 次观看 • 8 个月前

GeoLibre now supports rendering 3D Tiles! Try it out: GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop, mobile, and web environments. GitHub: Website: #geospaptial #opensource #maplibre #GeoLibre
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GeoLibre now supports rendering 3D Tiles! Try it out: GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop, mobile, and web environments. GitHub: Website: #geospaptial #opensource #maplibre #GeoLibre

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14,167 次观看 • 13 天前