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Mars Exploration Rovers Entry, Descent, and Landing Trajectory AnalysisIn this study we present a novel method of land surface classification using surface-reflected GPS signals in combination with digital imagery. Two GPS-derived classification features are merged with visible image data to create terrain-moisture (TM) classes, defined here as visibly identifiable terrain or landcover classes containing a surface/soil moisture component. As compared to using surface imagery alone, classification accuracy is significantly improved for a number of visible classes when adding the GPS-based signal features. Since the strength of the reflected GPS signal is proportional to the amount of moisture in the surface, use of these GPS features provides information about the surface that is not obtainable using visible wavelengths alone. Application areas include hydrology, precision agriculture, and wetlands mapping.
Document ID
20080013365
Document Type
Preprint (Draft being sent to journal)
Authors
Desai, Prasun N. (NASA Langley Research Center Hampton, VA, United States)
Knocke, Philip C. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 24, 2013
Publication Date
January 1, 2007
Subject Category
Lunar and Planetary Science and Exploration
Funding Number(s)
WBS: WBS 439654.02.07.01.01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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