I am a master's student and I am trying to use radar observables derived from SAR imagery to predict Landsat 8 Enhanced Vegetation Index (EVI) for different seasons. I have extracted EVI and various SAR observables values from field boundaries. I would like to use values from representative data for one Summer image and one Winter image as training to predict EVI across only Summer and Winter seasons using Random Forest in R.
However, I am new to R and I have not performed Random Forest regression in R using spatial data. Therefore, I would just like to know how to go about this?