Improved characterization of dryland degradation using trends in vegetation/ rainfall sequential linear regression (SERGS-TREND)
Land degradation in drylands has been investigated extensively over recent decades and several remote sensing based techniques attempt to decouple the human influence from the natural climate variability, but are contested in literature. We introduce a novel approach termed SeRGS-TREND that is designed to monitor land degradation by suppressing the impact from climate variability and highlight veg