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#Leafmap now supports searching and visualizing #geospatial datasets interacitvely from custom STAC API endponits. You can search and visualize any public SpatioTemporal Asset Catalogs (#STAC) with a few simple clicks #dataviz #geopython #opensource

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Qiusheng Wu

54,053 subscribers

63,900 görüntüleme • 3 yıl önce •via X (Twitter)

#Leafmap#geospatial#STAC#dataviz#geopython#opensource
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Qiusheng Wu3 yıl önce

@stacindex @cogeotiff @mike_jeffe @opencholmes @_VincentS_ @brunosan @rabernat

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Learn how to access market data using Polygon's Stock API and the Python programming language.

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Helpful

Emiliano G Santin profil fotoğrafı
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👋 quick question some updates went through my computer and I lost a ton of features. Should I create a new environment and reinstall everything or there is an easier solution?

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Qiusheng Wu3 yıl önce

Create a fresh conda env and install leafmap. It should only takes a few minutes.

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@giswqs Looks great, are these most recent changes available now?

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Qiusheng Wu3 yıl önce

It is in a branch, not merged into master yet. Need a bit more testing. You can install from the branch

Benzer Videolar

A collection of Jupyter Notebook examples for visualizing #geospatial data, including raster (COG, STAC), vector (GeoParquet, PMTiles, GeoJSON, Shapefile, GeoPackage, etc.), and LiDAR data. Raster: Vector: LiDAR: #dataviz #lidar #cog #geopython
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A collection of Jupyter Notebook examples for visualizing #geospatial data, including raster (COG, STAC), vector (GeoParquet, PMTiles, GeoJSON, Shapefile, GeoPackage, etc.), and LiDAR data. Raster: Vector: LiDAR: #dataviz #lidar #cog #geopython

Qiusheng Wu

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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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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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38,699 görüntüleme • 3 yıl önce

📢 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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📢 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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18,749 görüntüleme • 2 yıl önce

GeoLibre now supports route animation with a few simple clicks! Try it out: - Launch GeoLibre Web: - GitHub: - Documentation: #geospatial #opensource #GeoLibre
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GeoLibre now supports route animation with a few simple clicks! Try it out: - Launch GeoLibre Web: - GitHub: - Documentation: #geospatial #opensource #GeoLibre

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The anymap-ts Python package now supports creating choropleth maps from vector data with a few simple clicks! Give it a try: Web demo: Jupyter demo: GitHub: Documentation: #geospatial #opensource
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The anymap-ts Python package now supports creating choropleth maps from vector data with a few simple clicks! Give it a try: Web demo: Jupyter demo: GitHub: Documentation: #geospatial #opensource

Qiusheng Wu

12,496 görüntüleme • 7 ay önce

🎯 AI Agents for Microsoft Planetary Computer: Explore Satellite Data with Zero Code Unlock satellite data without writing a single line of code! 🌍 In this step-by-step tutorial, you’ll discover how to harness the power of AI agents to search, filter, and visualize geospatial datasets from the Microsoft Planetary Computer — all using natural language. Perfect for researchers, developers, and environmental professionals who want fast, intuitive, code-free access to massive Earth observation datasets like Sentinel-2, Landsat, NAIP, and DEM. Learn how to: ✅ Use zero-code AI agents in Jupyter Notebooks ✅ Search satellite imagery by date, location, or cloud cover ✅ Visualize data instantly using Leafmap ✅ Integrate STAC data catalogs into your GeoAI workflow Full video tutorial available on YouTube: #geospatial #GeoAI #opensource #PlanetaryComputer
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🎯 AI Agents for Microsoft Planetary Computer: Explore Satellite Data with Zero Code Unlock satellite data without writing a single line of code! 🌍 In this step-by-step tutorial, you’ll discover how to harness the power of AI agents to search, filter, and visualize geospatial datasets from the Microsoft Planetary Computer — all using natural language. Perfect for researchers, developers, and environmental professionals who want fast, intuitive, code-free access to massive Earth observation datasets like Sentinel-2, Landsat, NAIP, and DEM. Learn how to: ✅ Use zero-code AI agents in Jupyter Notebooks ✅ Search satellite imagery by date, location, or cloud cover ✅ Visualize data instantly using Leafmap ✅ Integrate STAC data catalogs into your GeoAI workflow Full video tutorial available on YouTube: #geospatial #GeoAI #opensource #PlanetaryComputer

Qiusheng Wu

10,380 görüntüleme • 11 ay önce

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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20,599 görüntüleme • 2 yıl önce

📢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

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18,248 görüntüleme • 2 yıl önce

Working with Planet Tanager Hyperspectral Data (426 Bands) in QGIS with HyperCoast Learn how to access, visualize, and analyze Planet’s Tanager hyperspectral imagery in QGIS using the HyperCoast plugin. In this tutorial, you will explore freely available Planet Tanager open data with over 426 spectral bands and learn how to stream imagery, download HDF5 datasets, inspect spectral signatures, and perform hyperspectral visualization directly inside QGIS. Video Tutorial: HyperCoast: QGIS Plugin: Tanager STAC Repo: Tanager STAC Browser: #opendata #geospatial #hypercoast #QGIS #Tanager #hyperspectral
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Working with Planet Tanager Hyperspectral Data (426 Bands) in QGIS with HyperCoast Learn how to access, visualize, and analyze Planet’s Tanager hyperspectral imagery in QGIS using the HyperCoast plugin. In this tutorial, you will explore freely available Planet Tanager open data with over 426 spectral bands and learn how to stream imagery, download HDF5 datasets, inspect spectral signatures, and perform hyperspectral visualization directly inside QGIS. Video Tutorial: HyperCoast: QGIS Plugin: Tanager STAC Repo: Tanager STAC Browser: #opendata #geospatial #hypercoast #QGIS #Tanager #hyperspectral

Qiusheng Wu

12,338 görüntüleme • 4 ay önce

🚀 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

13,504 görüntüleme • 11 ay önce

GeoLibre v2.4.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release is about reaching more data and moving through it: new browsers for STAC, NASA Earthdata, and Hugging Face, a flight simulator, a Time Slider that animates tiled data and data cubes, and a live API for pages that embed the map. What's new in v2.4.0 - STAC catalogs browser: discover public catalogs from STAC Index, connect to static catalogs and STAC APIs, search a collection's items, and add any visualizable asset to the map. No more copying COG URLs by hand. - Earthdata GIS browser: search NASA's Earthdata GIS portal and add its imagery, map, and feature services, and its published web maps, as first-class layers. - Hugging Face on the map: search the Hub, walk a dataset repo's folders, and add its vector and raster files. You can create a dataset repo and upload layers to it too. - Flight Simulator: steer a continuous free-flight camera over terrain and 3D layers from the keyboard, instead of declaring a destination and watching a scripted flight. - Time Slider for tiled data and data cubes: bind vector tiles, PMTiles, and MBTiles to the timeline and animate them over their full extent, and let a Zarr store's own time dimension join the shared timeline. - Zarr gets a real Add Data path: open a remote store or a folder on disk, and pick variables and dimensions by their actual coordinate values rather than raw indices. - Live embed API: a versioned postMessage protocol so a host page can load a project, move the camera, highlight features, and open a tool at runtime, with events coming back out. - OGC API - Features: add collections as vector layers from whatever URL you have in hand, whether that is a landing page, /collections, or a full items URL. - H3 everywhere: a new hexagonal grid plugin that renders and inspects H3 cells and exports them as GeoJSON or CSV, plus typing an H3 index into the search box to fly straight to that cell. - Jupyter from outside the app: attach VS Code's Jupyter extension or jupyter console to the desktop app's server and your notebook cells drive the map. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #GeoLibre
1:04

GeoLibre v2.4.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release is about reaching more data and moving through it: new browsers for STAC, NASA Earthdata, and Hugging Face, a flight simulator, a Time Slider that animates tiled data and data cubes, and a live API for pages that embed the map. What's new in v2.4.0 - STAC catalogs browser: discover public catalogs from STAC Index, connect to static catalogs and STAC APIs, search a collection's items, and add any visualizable asset to the map. No more copying COG URLs by hand. - Earthdata GIS browser: search NASA's Earthdata GIS portal and add its imagery, map, and feature services, and its published web maps, as first-class layers. - Hugging Face on the map: search the Hub, walk a dataset repo's folders, and add its vector and raster files. You can create a dataset repo and upload layers to it too. - Flight Simulator: steer a continuous free-flight camera over terrain and 3D layers from the keyboard, instead of declaring a destination and watching a scripted flight. - Time Slider for tiled data and data cubes: bind vector tiles, PMTiles, and MBTiles to the timeline and animate them over their full extent, and let a Zarr store's own time dimension join the shared timeline. - Zarr gets a real Add Data path: open a remote store or a folder on disk, and pick variables and dimensions by their actual coordinate values rather than raw indices. - Live embed API: a versioned postMessage protocol so a host page can load a project, move the camera, highlight features, and open a tool at runtime, with events coming back out. - OGC API - Features: add collections as vector layers from whatever URL you have in hand, whether that is a landing page, /collections, or a full items URL. - H3 everywhere: a new hexagonal grid plugin that renders and inspects H3 cells and exports them as GeoJSON or CSV, plus typing an H3 index into the search box to fly straight to that cell. - Jupyter from outside the app: attach VS Code's Jupyter extension or jupyter console to the desktop app's server and your notebook cells drive the map. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #GeoLibre

Qiusheng Wu

14,268 görüntüleme • 2 ay önce

🚀 Visualize Big Vector Data in Python—FAST! Tired of slow and clunky tools for visualizing big vector dataset in Python? Discover this one-line Python trick using Leafmap + DuckDB to instantly render huge vector datasets—even gigabytes in size—right in your Jupyter notebook. In this video, you'll learn how to: ✅ Visualize millions of vector features with ease ✅ Use Leafmap + DuckDB to serve vector tiles dynamically ✅ Handle GeoParquet, GeoPackage, cloud-hosted data & more ✅ Create fully interactive maps—without crashing your browser! 📌 Watch the full video tutorial on YouTube: 👉 Notebook example: #Visualization #Leafmap #BigData #DuckDB #GeoPython #GIS #OpenSource
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🚀 Visualize Big Vector Data in Python—FAST! Tired of slow and clunky tools for visualizing big vector dataset in Python? Discover this one-line Python trick using Leafmap + DuckDB to instantly render huge vector datasets—even gigabytes in size—right in your Jupyter notebook. In this video, you'll learn how to: ✅ Visualize millions of vector features with ease ✅ Use Leafmap + DuckDB to serve vector tiles dynamically ✅ Handle GeoParquet, GeoPackage, cloud-hosted data & more ✅ Create fully interactive maps—without crashing your browser! 📌 Watch the full video tutorial on YouTube: 👉 Notebook example: #Visualization #Leafmap #BigData #DuckDB #GeoPython #GIS #OpenSource

Qiusheng Wu

13,147 görüntüleme • 11 ay önce

GeoLibre now supports rendering Google Photorealistic 3D Tiles! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. Try it out with your own Google Maps API key: - Launch GeoLibre web: - GitHub: - Documentation: #GIS #Geospatial #OpenSource #RemoteSensing #MapLibre #GeoLibre
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GeoLibre now supports rendering Google Photorealistic 3D Tiles! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. Try it out with your own Google Maps API key: - Launch GeoLibre web: - GitHub: - Documentation: #GIS #Geospatial #OpenSource #RemoteSensing #MapLibre #GeoLibre

Qiusheng Wu

19,625 görüntüleme • 3 ay önce

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
0:29

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

Qiusheng Wu

12,745 görüntüleme • 7 ay önce

GeoLibre now supports searching, visualizing, and downloading high-resolution aerial imagery from OpenAerialMap! Whether you are mapping after a disaster, tracking change over time, or just need fresh high-resolution imagery for a study area, OpenAerialMap's community-contributed catalog is now searchable, viewable, and downloadable without ever leaving GeoLibre. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: #GIS #OpenData #OpenSource #MapLibre #GeoLibre
0:55

GeoLibre now supports searching, visualizing, and downloading high-resolution aerial imagery from OpenAerialMap! Whether you are mapping after a disaster, tracking change over time, or just need fresh high-resolution imagery for a study area, OpenAerialMap's community-contributed catalog is now searchable, viewable, and downloadable without ever leaving GeoLibre. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: #GIS #OpenData #OpenSource #MapLibre #GeoLibre

Qiusheng Wu

16,488 görüntüleme • 2 ay önce

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
1:11

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

17,592 görüntüleme • 5 ay önce

GeoLibre now supports Mapbox as a rendering engine, alongside MapLibre and Cesium. With Mapbox integration, GeoLibre can take advantage of the Mapbox ecosystem for high-performance mapping, rich cartographic styling, and interactive geospatial visualization. More rendering capabilities and integrations are coming soon. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: #GeoLibre #Mapbox #MapLibre #GIS #3DGIS #OpenSource #Geospatial
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GeoLibre now supports Mapbox as a rendering engine, alongside MapLibre and Cesium. With Mapbox integration, GeoLibre can take advantage of the Mapbox ecosystem for high-performance mapping, rich cartographic styling, and interactive geospatial visualization. More rendering capabilities and integrations are coming soon. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: #GeoLibre #Mapbox #MapLibre #GIS #3DGIS #OpenSource #Geospatial

Qiusheng Wu

15,097 görüntüleme • 18 gün önce

With #ObjectClear, you can now remove any objects, along with their shadows and reflections, from your images in just a few clicks or strokes! 👉Try our demo (click version): Big thanks to AK Adina Yakup!
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With #ObjectClear, you can now remove any objects, along with their shadows and reflections, from your images in just a few clicks or strokes! 👉Try our demo (click version): Big thanks to AK Adina Yakup!

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