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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.

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  • Welcome to GIS SE! As a new user be sure to take the Tour. For questions that involve code we ask that you show us where you are stuck with your own code by including a code snippet in your question. There is an edit button beneath your question which will enable you to do that and a {} button that enables you to format any highlighted code nicely.
    – PolyGeo ♦
    Commented Feb 19, 2018 at 21:35
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    Please edit your question to specify in detail what your input data is.
    – user2856
    Commented Feb 20, 2018 at 1:32
  • Reflectance values or an index value?
    – aldo_tapia
    Commented May 10, 2018 at 20:34

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