Title :
NASA Computational Case Study, Hyperspectral Data Processing: Cryospheric Change Detection
Author :
Memarsadeghi, Nargess ; Doggett, Thomas
Author_Institution :
Goddard Space Flight Center, NASA, Greenbelt, MD, USA
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.
Keywords :
geophysical image processing; ice; remote sensing; snow; water; Earth Observing-1 satellite; NASA; cryospheric change detection; feature detection; hyperspectral data processing; ice; remote sensing; remotely sensed hyperspectral data; snow; water; Change detection algorithms; Classification algorithms; Clustering algorithms; Earth; Hyperspectral sensors; Remote sensing; Change detection algorithms; Classification algorithms; Clustering algorithms; Earth; Earth Observing-1; Hyperspectral sensors; Remote sensing; classification; hyperspectral data processing; remote sensing;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2012.43
