Quantifying dwarf shrub biomass in an arid environment: comparing empirical methods in a high dimensional setting - Zandler, H.; Brenning, A.; Samimi, C. (Remote sensing of environment, 2015)
Keywords: Arid Environment; Aridity; artificial intelligence; Biomass; carbon; dry environmental conditions; Empirical analysis; Empirical modeling; Forests; Landsat; Landsat OLI; least squares; Mathematical models; monitoring; Multispectral remote sensing; prediction; RapidEye; Regression; Remote sensing; Sensors; shrinkage; shrubs; Tajikistan; uncertainty; Vegetation; vegetation cover; vegetation index; Tajikistan; Biomass; Arid Environment; RapidEye; Landsat OLI; Multispectral remote sensing; Empirical modeling