stackstac
Turn a STAC catalog into a dask-based xarray (by gjoseph92)
rio-toa
Top Of Atmosphere (TOA) calculations for Landsat 8 (by mapbox)
stackstac | rio-toa | |
---|---|---|
1 | 1 | |
254 | 39 | |
1.2% | - | |
3.4 | 0.0 | |
8 months ago | over 3 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.
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.
stackstac
Posts with mentions or reviews of stackstac.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Can you replace Geoserver with COG and MVT from a bucket?
Like they're doing here to access sentinel 2 images https://github.com/gjoseph92/stackstac
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
# 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 stackstac and rio-toa you can also consider the following projects:
zen3geo - The 🌏 data science library you've been waiting for~
terracotta - Headless UI for SolidJS
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.
usgs-topo-tiler - Python package to read Web Mercator map tiles from USGS Historical Topographic Maps
titiler - Build your own Raster dynamic map tile services
rio-pansharpen - pansharpening landsat scenes