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Mars Exploration Rovers Entry, Descent, and Landing Trajectory Analysis

Author
Knocke, Philip C.
Published
January 2007.
Physical Description
1 electronic document
Additional Creators
Desai, Prasun N.
Online Version

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Unclassified, Unlimited, Publicly available.
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Summary
In 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.
Other Subject(s)
Collection
NASA Technical Reports Server (NTRS) Collection.
Note
Document ID: 20080013365.
Terms of Use and Reproduction
No Copyright.
View MARC record | catkey: 16000311