Reflectance modeling of semiarid woodlands

Abstract

Abstract Semiarid woodlands present a complex problem for quantative assessment with remotely sensed data. Vegetation is sparse and unevenly distributed, with trees obscuring and shadowing both understorey and bare soil. Reflectance modeling and calibration were tested using low-level aerial radiometry and photography. Modified forms of two proposed models were fitted to the data and estimates of the cover of each landscape component were calculated using two multivariate calibration methods.