Extrapolate trained random forest model to create a time series using different satellites (Google Earth Engine)
I am trying to create a LULC time series from 1990-2023. To generate my time series I picked four dates that all use different satellites (Landsat 5, 7, 8 and Sentinel-1 and -2). I only have training data for 2023. Currently I am simply retraining the model with the same 2023 points used on historic data. I feel like this is leading to some inconsitencies in my classifications. I want to be able to run my trained classifier on all the dates, however there are some severe band inconsitencies. Is there any way to make the model accomodate these changes in bands?