GeoLearn

GeoLearn is designed to enable rapid processing of large size satellite remote sensing data available in HDF EOS format. It has been tested primarily with MODIS land-surface data products. Use and analysis of these datasets are at the heart of a variety of scientific investigations pertaining to the study of the interaction between land-surface and climate, and prediction of terrestrial hydrologic processes.
Developed by: Image Spatial Data Analysis Group (ISDAG) http://isda.ncsa.uiuc.edu/ at National Center for Supercomputing Applications (NCSA) http://www.ncsa.uiuc.edu/ and by Hydroclimatology and Terrestrial Hydrology Group (HTHG) http://cee.uiuc.edu/research/hydrology/ at Civil and Environmental Engineering (CEE), UIUC http://cee.uiuc.edu/.