Physical Sciences and Mathematics Commons^™

Revisiting The Use Of Red And Near-Infrared Reflectances In Vegetation Studies And Numerical Climate Models, Garik Gutman, Sergii Skakun, Anatoly Gitelson

School of Natural Resources: Faculty Publications

Surface reflectance data acquired in red and near-infrared spectra by remote sensing sensors are traditionally applied to construct various vegetation indices (VIs), which are related to vegetation biophysical parameters. Most VIs use pre-defined weights (usually equal to 1) for the red and NIR reflectance values, therefore constraining particular weights for red and NIR during the VI design phase, and potentially limiting capabilities of the VI to explain an independent variable. In this paper, we propose an approach to estimate biophysical variables, such as Leaf Area Index (LAI), Canopy Chlorophyll Content (CCC) and Fraction of Photosynthetically Active Radiation (FPAR) absorbed by …