*AVHRR*

Analogous to the MODIS approach, but using AVHRR data. Here we hypothesize that calculating V and R from the sensor we are attempting to correct is more representative than using a different sensor, even if said sensor has less noise in the time series. In other words, we theorize that propagated uncertainties from the atmospheric correction are smaller than data harmonization uncertainties and problems in the original model's assumption.
