rio-toa VS terracotta

# 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 ```

One can also do raster calculus between two or more COGs with Terracotta: https://github.com/DHI-GRAS/terracotta/issues/221

I am currently working on setting up a web app using leaflet that can display .tif images along with some polygons and add some filters in the web app to better interact with the data. In the process of implementing this, I came to know that I need to use a tile server because I have large amounts of data and the tile server can help to serve the tiles on the web app. Based on my research, I guess these two are the main tools as of now: 1. Geoserver and 2. Terracotta. I am confused between the two. Can anyone suggest which one would be better for my use case and the pros and cons of both if possible? In case there's a different one that's better than the two mentioned above, it would be great if you can share the tool and your experience. Would be helpful.

Terracotta: Serverless GeoTiff Tile Server\ (12 comments)