I am pretty new to GEE.
My task is to get all Sentinel 2 images from a specific time. Then I want to filter this collection by a maximum cloud coverage over an area of interest, which is imported before as a shapefile. I use this Image Collection later to calculate and export the maximum NDVI.
I know how to filter Cloud Percentage over the whole scene, but as I need only a small AOI too many images get filtered. So my Problem is to not filter the cloud probability over the whole scene, but just over the small polygon (AOI).
I am working currently in Python with geemap and the ee library.
import ee import geemap ee.Initialize() ee.Authenticate() def calculateNDVI(image): result = image.normalizedDifference(["B8","B4"]).rename("ndvi") return image.addBands(result) geometry = #"Imported Polygon"# sentinel = ee.ImageCollection("COPERNICUS/S2_SR").filterDate( "2020-04-01","2021-10-01").filterBounds(geometry).filter( ee.Filter.lte('CLOUDY_PIXEL_PERCENTAGE',10)) ndvi = sentinel.map(calculateNDVI) maxNDVI = ndvi.max() geemap.ee_export_image(maxNDVI, filename= maxNDVI.tif, scale = 10, region = geometry, file_per_band=False, crs = 'EPSG:3035')