Hi,
I want to find a multiple linear regression to predict and produce a time series of actual evapotranspiration, ET (response variable) using remotely sensed time series of land surface temperature and ground-observed air temperature (explanatory variable) data. All data are raster (.tif) format. They are 5-year dataset with the same extent and temporal (16days) and spatial (500m by 500m) resolution.
I was trying to some ways after looking into the community posts relative to spatial regression, raster regression, spatial statistics, etc. but I fail to get the result that I one. Most of them I found didn't address the time series of two different explanatory variable at the same time.
Can anyone help me out to get an idea?
