usgs-topo-tiler
rio-toa
| usgs-topo-tiler | rio-toa | |
|---|---|---|
| 1 | 1 | |
| 77 | 39 | |
| - | - | |
| 0.0 | 0.0 | |
| over 4 years ago | about 3 years ago | |
| Python | Python | |
| MIT License | - |
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usgs-topo-tiler
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Gaia now offers rectified historical topo maps from as far back as 1885 as a layer for premium members.
These maps are stored as Cloud Optimized Geotiffs in a public S3 bucket as well https://github.com/kylebarron/usgs-topo-tiler
rio-toa
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Why did NASA launched Landsat 9
# conversion process ## 1) Top Of Atmosphere per pixel sun elevation reflectance adjustment ### https://github.com/mapbox/rio-toa ```sh rio toa reflectance -p --dst-dtype uint16 -t '.*\_B{b}.TIF' ./exampleBase/LC08_L1TP_038032_20200815_20200822_01_T1_B{4,3,2}.TIF ./exampleBase/LC08_L1TP_038032_20200815_20200822_01_T1_MTL.txt ./exampleTOA/mergedTOA.tif ``` ## 2) pansharpen ### https://github.com/mapbox/rio-pansharpen ### implement fix: https://github.com/mapbox/rio-pansharpen/pull/29 ### force update of local cli: #### pip install -U pip #### pip install -r requirements.txt #### pip install -e . ```sh example: rio pansharpen --dst-dtype uint16 B8.tif B4.tif B3.tif B2.tif out.tif specific example: rio pansharpen --weight 0.1 -j 4 --dst-dtype uint16 ./exampleBase/LC08_L1TP_038032_20200815_20200822_01_T1_B8.TIF ./exampleTOA/ref4.tif ./exampleTOA/ref3.tif ./exampleTOA/ref2.tif ./examplePansharpened/out.tif ```
What are some alternatives?
demquery - Wrapper around rasterio to query points on a Digital Elevation Model
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hironex - HiRoNEx: Historical road network extractor: A python tool for automatic, fully unsupervised extraction of historical road networks from historical maps.
stackstac - Turn a STAC catalog into a dask-based xarray
zen3geo - The 🌏 data science library you've been waiting for~
rio-pansharpen - pansharpening landsat scenes
pygeohydro - A part of HyRiver software stack for accessing hydrology data through web services
mbutil - Importer and Exporter of MBTiles
terracotta - A light-weight, versatile XYZ tile server, built with Flask and Rasterio :earth_africa:
eoreader - Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.