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.

closed as too broad by Andre Silva, aldo_tapia, Dan C, whyzar, Fezter May 10 '18 at 22:52

Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

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    Please edit your question to specify in detail what your input data is. – user2856 Feb 20 '18 at 1:32
  • Reflectance values or an index value? – aldo_tapia May 10 '18 at 20:34