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Open-EO / openeo-r-client

R client package for working with openEO backends
https://open-eo.github.io/openeo-r-client
Apache License 2.0
61 stars 17 forks source link

slightly complicated calculation #158

Closed GISBOUKENSHA closed 1 month ago

GISBOUKENSHA commented 1 month ago

Hello community, I am beginner at programming and this package, but I have to solve slightly complicated problem. I want to apply calculation of NDVI, then when I create NDVI as raster datacube, I want to make time series only for certain pixels(which I have defined as multipoint in different coordinate system than wgs as shapefile .shp) and group and subset those pixels into separate datacubes. Then I want to filter cloud coverage of those pixels(CLM<0.2). I guess that this far it is very simple and I can manage very easily.

At this point it can be in reduce_dimension() form.

Then I want to apply function on each of those subsetted group of pixels which iterates over every pixel including those which aren't subsetted using equation in which I have to find 2% and 98% tail NDVI value of each raster and then it is stored as new band variable(for which I guess I have to use reduce_dimension() ). So as result there should be multiple raster datacubes.

I use R VITO service and sentinel2 satellite.

I just want to hear, if it is possible or not within openeo VITO service. I already have created netCDF rasterdatacube for desired timeline and aoi. But now I think about, what will be faster, if I should do it in a way mentioned above or just be happy, that it works and play with netCDF only. Thank you very much. Best regards.

m-mohr commented 1 month ago

I think you need to get in touch with VITO's service, this doesn't seem to be an R specific problem. The R client would support it if the VITO service is supporting it.