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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 ...
High Performance Computing Algorithms for Land mCover Dynamics Using Remote Sensing Data
Global and regional land cover studies require the ability to apply complex models on selected subsets of large amounts of multi-sensor and multi-temporal data sets that have been derived from raw instrument measurements ...