Yes. Hopefully following example will help:
from sentinelhub import SHConfig, BBox, CRS, SentinelHubRequest, bbox_to_dimensions, DataCollection, MimeType
bbox = BBox((8.688812,44.244215,9.307480,44.564056), crs=CRS.WGS84)
size = bbox_to_dimensions(bbox, 100)
clouds_evalscript = """
//VERSION=3
function setup() {
return {
input: ["CLM", "CLP"],
output: { bands: 2, sampleType: "UINT8" }
}
}
function evaluatePixel(sample) {
return [ sample.CLM, sample.CLP ];
}
"""
req = SentinelHubRequest(
evalscript=clouds_evalscript,
input_data=[
SentinelHubRequest.input_data(
data_collection=DataCollection.SENTINEL2_L1C,
time_interval=('2021-02-25','2021-03-01'),
mosaicking_order='mostRecent'
)
],
responses=[SentinelHubRequest.output_response('default', MimeType.TIFF)],
bbox=bbox,
size=size,
)
masks = req.get_data()[0]
Using this I get CLM:
and CLP:
