I have very high resolution images from LANDSAT 8 (5 out of 12 bands), which are of various administrative regions of a country. Each image is of variable dimensions, but generally of the order of [1500 X 1200 X 5].
My aim is to predict the population density from urban features visible on the images.
Since the number of images (and hence data points) is small, what is the best implementation strategy to build a model that can predict a value for population density based on these images?