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Issue No. 04 - July/August (2012 vol. 14)
ISSN: 1521-9615
pp: 92-97
Nargess Memarsadeghi , NASA Goddard Space Flight Center
Thomas Doggett , Northern Virginia Community College
ABSTRACT
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.
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

T. Doggett and N. Memarsadeghi, "NASA Computational Case Study, Hyperspectral Data Processing: Cryospheric Change Detection," in Computing in Science & Engineering, vol. 14, no. , pp. 92-97, 2012.
doi:10.1109/MCSE.2012.43
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