Remote sensing acquires and interprets small or large-scale data about the Earth from a distance. Using a wide range of spatial, spectral, temporal, and radiometric scales remote sensing is a large and diverse field for which this Handbook will be the key research reference. Illustrated throughout, an essential resource for the analysis of remotely sensed data, The SAGE Handbook of Remote Sensing provides researchers with a definitive statement of the core concepts and methodologies in the discipline.
Chapter 20: Quantitative Models and Inversion in Optical Remote Sensing
Quantitative Models and Inversion in Optical Remote Sensing
radiative transfer, land, modeling, inversion, biogeophysical parameters.
In the past several decades, vast amounts of remotely sensed Earth observations have been acquired and accumulated. With a series of new satellite programs planned, the data volume will continue to increase. Automating the procedures for processing and analyzing these data is critical. Furthermore, various numerical models characterizing Earth's environments, each associated with a different decision support system, have to be calibrated and run with spatially and temporally explicit data sets produced only from remotely sensed data at the appropriate scales.
Quantitative estimation of land surface variables from satellite observations is challenging. It requires not only the understanding of the remotely sensed signals through the ...