Add Sen2Cor L2A functionality to generate atmospheric-corrected Sentinel-2 L2A imagery about getspatialdata HOT 3 OPEN

FYI, i was able to run Sen2Cor with Docker (i have created my own Sen2Cor docker image) with the output of getSentinel_data() and run prepSentinel(). The output of running Sen2Cor on Sentinel-2 L1C imagery + running prepSentinel() is equivalent to getting L2A imagery with getSentinel_data() + running `prepSentinel(). Note that L2A seems to be only available in the servers in Europe, so outside Europe one has to run Sen2Cor to generate L2A imagery. The steps i do to generate L2A imagery from L1C are:

1. use getSentinel_data() to download L1C imagery
2. unzip the .zip file to make the .SAFE folder available
3. use the Docker image atavares\sen2cor to convert L1C to L2A imagery. An example usage command is docker run --rm -ti -v {/host/machine/mapped/folder/where/the/.SAFE/folder/is/located}:/data atavares/sen2cor /data/{name_of_SAFE_folder.SAFE}
4. zip the generated output L2A .SAFE folder
5. Run prepSentinel() on the L2A .zip file

Maybe some improvements to add to prepSentinel() are:

• add somehow the names of the bands to the output .tif files. The L2A outputs are available with the names below in the original .SAFE data, but with prepSentinel() the band names get lost:

band.order <- list("aux" = c("AOT", "CLD", "SCL", "TCI", "WVP", "SNW"), "refl" = c("B01", "B02", "B03", "B04", "B05", "B06", "B07", "B08", "B8A", "B09", "B10", "B11", "B12"))

• add a function input variable SAFE = true to avoid step 4 above (create a .zip file)

from getspatialdata.

Good idea, will do so as soon as I find time to continue with the prep functions. Will include a function that binds to a present sen2cor installation.

from getspatialdata.

In the sen2r package is a Sentinel-2 preprocessing function accessing the Sen2Cor
software.
It also installs the software if not yet on the machine.

https://github.com/ranghetti/sen2r/blob/master/R/sen2cor.R

from getspatialdata.