home.social

#geotiffs — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #geotiffs, aggregated by home.social.

  1. Best practices for Cloud-Optimized GeoTIFFs: Cloud-Optimized #GeoTIFFs (#COG-s) have revolutionized the way large geospatial raster datasets are accessed and processed. From GeoStandards comes Best Practices Guide for this #cloudnativegeo format.
    spatialists.ch/posts/2025/03-1 #GIS #GISchat #geospatial #SwissGIS

  2. USGS 3DEP LiDAR Collection @ Microsoft
    --
    planetarycomputer.microsoft.co <-- Microsoft data / use case portal
    --
    “To respond to growing needs for high-quality elevation data, the goal of 3DEP is to complete acquisition of nationwide lidar (IfSAR in AK) to provide the first-ever national baseline of consistent high-resolution topographic elevation data – both bare earth and 3D point clouds. This dataset provides the raw 3D point clouds in the Cloud Optimized Point Cloud format, and various derived products as Cloud Optimized GeoTIFFs…”
    #GIS #spatial #mapping #gischat #3dep #elevation #opendata #planetarycomputer #LiDAR #ifsar #USA #nationwide #acquistion #topography #topographic #dem #bareearth #pointclouds #cloudoptimization #geotiffs #download #library #usgs #microsoft
    @microsoft @usgs

  3. After fighting #GDAL, #RasterIO, and a million other tools for a couple evenings, I finally have a pipeline that can create unified Slippy #map tiles from a mix of #GeoTIFFs and other tiles, all across multiple projections!

    It feels like a huge win on the way to a scalable raster pipeline.

    I'm sure this is child's play for experienced raster data wranglers, but it feels so good for my first major success!

  4. After fighting #GDAL, #RasterIO, and a million other tools for a couple evenings, I finally have a pipeline that can create unified Slippy #map tiles from a mix of #GeoTIFFs and other tiles, all across multiple projections!

    It feels like a huge win on the way to a scalable raster pipeline.

    I'm sure this is child's play for experienced raster data wranglers, but it feels so good for my first major success!

  5. After fighting , , and a million other tools for a couple evenings, I finally have a pipeline that can create unified Slippy tiles from a mix of and other tiles, all across multiple projections!

    It feels like a huge win on the way to a scalable raster pipeline.

    I'm sure this is child's play for experienced raster data wranglers, but it feels so good for my first major success!

  6. After fighting #GDAL, #RasterIO, and a million other tools for a couple evenings, I finally have a pipeline that can create unified Slippy #map tiles from a mix of #GeoTIFFs and other tiles, all across multiple projections!

    It feels like a huge win on the way to a scalable raster pipeline.

    I'm sure this is child's play for experienced raster data wranglers, but it feels so good for my first major success!

  7. After fighting #GDAL, #RasterIO, and a million other tools for a couple evenings, I finally have a pipeline that can create unified Slippy #map tiles from a mix of #GeoTIFFs and other tiles, all across multiple projections!

    It feels like a huge win on the way to a scalable raster pipeline.

    I'm sure this is child's play for experienced raster data wranglers, but it feels so good for my first major success!