rio-toa VS rio-pansharpen

Compare rio-toa vs rio-pansharpen and see what are their differences.

rio-toa

Top Of Atmosphere (TOA) calculations for Landsat 8 (by mapbox)

rio-pansharpen

pansharpening landsat scenes (by mapbox)
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rio-toa rio-pansharpen
1 1
38 49
- -
0.0 10.0
over 2 years ago over 4 years ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

rio-toa

Posts with mentions or reviews of rio-toa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-15.
  • Why did NASA launched Landsat 9
    2 projects | /r/gis | 15 Nov 2021
    # 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 ```

rio-pansharpen

Posts with mentions or reviews of rio-pansharpen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-15.
  • Why did NASA launched Landsat 9
    2 projects | /r/gis | 15 Nov 2021
    # 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?

When comparing rio-toa and rio-pansharpen you can also consider the following projects:

mbutil - Importer and Exporter of MBTiles

usgs-topo-tiler - Python package to read Web Mercator map tiles from USGS Historical Topographic Maps

stackstac - Turn a STAC catalog into a dask-based xarray