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36 results for “giswqs”

  1. new feature: creating timelapse animations from satellite images with only one line of code. It supports both locally stored raster datasets and Cloud Optimized GeoTIFFs () on the web.

    Notebook: leafmap.org/notebooks/72_timel
    GitHub: github.com/giswqs/leafmap

  2. Introducing a new package called mapwidget - creating interactive 3D maps in a Jupyter environment using popular JavaScript libraries with bidirectional communication, such as , , , , and

    GitHub: github.com/giswqs/mapwidget

  3. v0.16.0 has been released. It supports searching and visualizing open datasets interactively from public API endpoint (e.g., , ). Search results can be returned as a GeoDataFrame, list, dict.
    Notebook: leafmap.org/notebooks/64_stac_
    GitHub: github.com/giswqs/leafmap

  4. Searching and visualizing datasets interactively with . Image footprints with attribute data can be added to the map automatically and accessed through a GeoPandas GeoDataFrame
    github.com/giswqs/leafmap/pull

  5. Searching and visualizing open geospatial datasets interactively with . Image footprints with attribute data can be added to the map automatically and accessed through a GeoPandas GeoDataFrame.

    github.com/giswqs/leafmap/pull

  6. Great to see and making the top Python packages in 2022. Thank you to Matt Forrest for sharing this on LinkedIn.

    geemap: github.com/giswqs/geemap
    leafmap: github.com/giswqs/leafmap

  7. The list of open datasets now includes NASA's Common Metadata Repository (CMR) with 350 datasets, in addition to other open datasets on major cloud computing platforms (, , ) and STAC Index. The list is updated daily.

    GitHub: github.com/giswqs/geospatial-d
    NASA-CMR: cmr.earthdata.nasa.gov/search

  8. A comprehensive list of open datasets on major cloud computing platforms (, , ) and STAC Index. The lists are provided in TSV and JSON formats, making it easier to find and use them programmatically. The list is updated daily.

    GitHub: github.com/giswqs/geospatial-d

  9. My projects on GitHub just surpassed 10,000 stars and 3,800 followers. Thank you for your support!

    GitHub: github.com/giswqs
    YouTube: youtube.com/@giswqs

  10. #Shutdown Technical #Homework
    --
    H/T @giswqs --
    As the 'enforced' break from work/office continues, ordered this - and now time to start a technical focus in my home office
    #furlough #governmentshutdown #learning #education #GIS #spatial #mapping #opensource #selflearning #study #WFH

  11. Day 29, Data: 🗺️

    For today's theme, I've crafted a map of , the Netherlands, that looks like it's carved out of wood. 🪵

    Using , I downloaded the transportation and building layers from Overture. The process was seamless thanks to the detailed instructions and script from @giswqs , see his useful video: youtu.be/6lfV81v71gs. :qgis: :python:

  12. Earlier this week, we did the same workflow with 3 tools: Google , Microsoft and @qgis. You can see the video here youtube.com/watch?v=Jv3P7WRoQhc cc @giswqs, @datamongerbonny and @MaxLenormand

  13. 📢 I just launched a new video tutorial series - "3D Mapping with and "! 🗺️ Learn how to create stunning 3D maps with just a few lines of Python code! The first video is out. More to come 👋

    YouTube playlist: bit.ly/maplibre
    Notebooks: leafmap.org/maplibre/overview
    Demos: maps.gishub.org

    🌍🖥️📊

  14. Visualize real-time movement data in 3D with and 🗺️💻 Update GPS tracking data from vehicles, animals, hikers, sports, and more on interactive 3D maps! 🚗🐘🚴‍♀️⚽

    GitHub: github.com/opengeos/leafmap
    Notebook: leafmap.org/maplibre/live_upda

    🌍📊🐍

  15. 🍀Leafmap now supports interactive visualization of in-memory raster (xarray, numpy array)🗺️This feature is very handy for exploring intermediate results interactively in your workflow before saving them to your hard drive💾

    Video: youtu.be/mIs5MWG5y10
    Notebook: leafmap.org/notebooks/89_image

  16. Check out this nice video by Matt Forrest about some exciting technologies 🌍 in 2023. Delighted to see being mentioned ✌
    youtu.be/SgOUr_zANsE?si=-cORRz

  17. Segment-geospatial v0.9.1 is out. It now supports segmenting remote sensing imagery with the High-Quality Segment Anything Model (HQ-SAM)

    Video: youtu.be/n-FZzKirE9I
    Notebook: samgeo.gishub.org/examples/inp
    GitHub: github.com/opengeos/segment-ge

    #segmentanything #geospatial #deeplearning

  18. Segment-geospatial v0.9.1 is out. It now supports segmenting remote sensing imagery with the High-Quality Segment Anything Model (HQ-SAM)

    Video: youtu.be/n-FZzKirE9I
    Notebook: samgeo.gishub.org/examples/inp
    GitHub: github.com/opengeos/segment-ge

  19. Segment-geospatial v0.9.1 is out. It now supports segmenting remote sensing imagery with the High-Quality Segment Anything Model (HQ-SAM)

    Video: youtu.be/n-FZzKirE9I
    Notebook: samgeo.gishub.org/examples/inp
    GitHub: github.com/opengeos/segment-ge

    #segmentanything #geospatial #deeplearning

  20. Segment-geospatial v0.9.1 is out. It now supports segmenting remote sensing imagery with the High-Quality Segment Anything Model (HQ-SAM)

    Video: youtu.be/n-FZzKirE9I
    Notebook: samgeo.gishub.org/examples/inp
    GitHub: github.com/opengeos/segment-ge

    #segmentanything #geospatial #deeplearning

  21. Segment-geospatial v0.9.1 is out. It now supports segmenting remote sensing imagery with the High-Quality Segment Anything Model (HQ-SAM)

    Video: youtu.be/n-FZzKirE9I
    Notebook: samgeo.gishub.org/examples/inp
    GitHub: github.com/opengeos/segment-ge

    #segmentanything #geospatial #deeplearning

  22. The recording of my presentation at the TensorFlow Working Group at SERVIR

    Title: Automated Segmentation of Remote Sensing Imagery with the Segment Anything Model
    Video: youtube.com/watch?v=45NpHeq1X6I
    Slides: bit.ly/TFWG
    GitHub: github.com/opengeos/segment-ge

  23. The recording of my presentation at the TensorFlow Working Group at SERVIR

    Title: Automated Segmentation of Remote Sensing Imagery with the Segment Anything Model
    Video: youtube.com/watch?v=45NpHeq1X6
    Slides: bit.ly/TFWG
    GitHub: github.com/opengeos/segment-ge

    #segmentanything #geospatial #opensource #SERVIR

  24. The recording of my presentation at the TensorFlow Working Group at SERVIR

    Title: Automated Segmentation of Remote Sensing Imagery with the Segment Anything Model
    Video: youtube.com/watch?v=45NpHeq1X6
    Slides: bit.ly/TFWG
    GitHub: github.com/opengeos/segment-ge

    #segmentanything #geospatial #opensource #SERVIR

  25. The recording of my presentation at the TensorFlow Working Group at SERVIR

    Title: Automated Segmentation of Remote Sensing Imagery with the Segment Anything Model
    Video: youtube.com/watch?v=45NpHeq1X6
    Slides: bit.ly/TFWG
    GitHub: github.com/opengeos/segment-ge

    #segmentanything #geospatial #opensource #SERVIR

  26. The recording of my presentation at the TensorFlow Working Group at SERVIR

    Title: Automated Segmentation of Remote Sensing Imagery with the Segment Anything Model
    Video: youtube.com/watch?v=45NpHeq1X6
    Slides: bit.ly/TFWG
    GitHub: github.com/opengeos/segment-ge

    #segmentanything #geospatial #opensource #SERVIR

  27. Segment-geospatial v0.9.0 is out📢It now supports segmenting remote sensing imagery with box prompts. You can create box prompts interactively or use existing vector data as box prompts 🌐

    GitHub: github.com/opengeos/segment-ge
    Notebook: samgeo.gishub.org/examples/box
    Video tutorial: youtu.be/ayFgAj23BfI

    #geospatial #segmentanything #deeplearning

  28. Segment-geospatial v0.9.0 is out📢It now supports segmenting remote sensing imagery with box prompts. You can create box prompts interactively or use existing vector data as box prompts 🌐

    GitHub: github.com/opengeos/segment-ge
    Notebook: samgeo.gishub.org/examples/box
    Video tutorial: youtu.be/ayFgAj23BfI