I want to detect soil moisture content for agricultural area also forest area. I use sentinel-1 (GRD data). I have already downloaded images for two years. Also i have a network of sensors scattered around my agricultural area. These sensors measure soil moisture content.
I will apply machine learning algorithms in order to make predictions of the soil moisture content.
My question is:
What are the steps that should be followed for pre-processing satellite-1 images, knowing that the resulting images will be used for do training for machine learning algorithms?
I seen many steps but I’m use SNAP from few time for that i can’t detect the correct steps for pre-processing?