I am developing a Python based process that classify crops via time series analysis. Due to clouds there are many missing values. My problem is how to assign a value to these pixels that would be near the real value.
What is the best interpolation method to do this?
I have though of mean value of same month's rasters, but this seems as not a scientific method to me.