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NASA Computational Case Study, Hyperspectral Data Processing: Cryospheric Change Detection
July/August 2012 (vol. 14 no. 4)
pp. 92-97
Thomas Doggett, Northern Virginia Community College
Nargess Memarsadeghi, NASA Goddard Space Flight Center
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This case study shows how remotely sensed hyperspectral data of NASA's Earth Observing-1 satellite are processed to detect features such as ice, water, and snow on Earth.

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Index Terms:
Classification algorithms,Remote sensing,Earth,Clustering algorithms,Change detection algorithms,Hyperspectral sensors,Earth Observing-1,Classification algorithms,Remote sensing,Earth,Clustering algorithms,Change detection algorithms,Hyperspectral sensors,classification,remote sensing,hyperspectral data processing
Citation:
Thomas Doggett, Nargess Memarsadeghi, "NASA Computational Case Study, Hyperspectral Data Processing: Cryospheric Change Detection," Computing in Science and Engineering, vol. 14, no. 4, pp. 92-97, July-Aug. 2012, doi:10.1109/MCSE.2012.43
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