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The rainfall dataset is too coarse and presents errors when small areas are processed, triggering a non-sense error to the end user:
File~/1_modules/se.plan/component/scripts/gee.py:71, in<genexpr>(.0)
67print("values", values)
68# depending on the scale, values from the histogram can be floats, we'll69# convert them to integers... sometimes we'll show more values than the70# asset really have--->71returnsorted(set(int(float(val)) forvalinvalues))
TypeError: float() argumentmustbeastringorarealnumber, not'NoneType'
we should display a more meaningful error and definitely find another precipitation data source.
The rainfall dataset is too coarse and presents errors when small areas are processed, triggering a non-sense error to the end user:
we should display a more meaningful error and definitely find another precipitation data source.
@andreamcmahon
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