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Efficient Algorithms for Atmospheric Correction of Remotely Sensed Data
Remotely sensed imagery has been used for developing and validating vairous studies regarding land cover dynamics such as global carbon modeling, biogeochemical cycling, hydrological modeling, and ecosystem response ...
Fast Algorithms for Estimating Aerosol Optical Depth and Correcting Thematic Mapper Imagery
Remotely sensed images collected by the satellites are usually contaminated by the effects of the atmospheric particles through absorption and scattering of the radiation from the earth surface. The objective of ...
High Performance Algorithms for Global BRDF Retrieval
Most Land cover types are ``anisotropic'', that is, the solar radiation reflected by the surface is not uniform in all directions. Characterizing the Bidirectional Reflectance Distribution Function (BRDF) of the earth's ...