Fusion of remotely sensed data for soil moisture estimation using relevance vector and support vector machines

International Journal of Remote Sensing

Volumn 33, Issue 20, 2012, Pages 6516-6552

  Zaman, Bushra ^a,b   McKee, Mac ^a,b   Neale, Christopher M U ^b  

^a UTAH STATE UNIVERSITY   (United States)

^b Utah State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR STATISTICS; INVERSE PROBLEMS; MEAN SQUARE ERROR; METEOROLOGY; PHYSIOLOGICAL MODELS; REAL TIME CONTROL; REMOTE SENSING; SOIL MOISTURE; SUPPORT VECTOR MACHINES; UNCERTAINTY ANALYSIS; VECTORS;

CROSS-VALIDATION TECHNIQUE; PHYSIOLOGICAL CHARACTERISTICS; REAL-TIME IMPLEMENTATIONS; RELEVANCE VECTOR MACHINE; ROOT MEAN SQUARE ERRORS; SOIL MOISTURE ESTIMATION; SUPPORT VECTOR MACHINE (SVMS); WALNUT CREEK WATERSHEDS;

SOIL SURVEYS;

BOOTSTRAPPING; CROP; DATA ASSIMILATION; MOISTURE CONTENT; REMOTE SENSING; SOIL MOISTURE; SOIL TEMPERATURE;

AMES; IOWA; UNITED STATES; WALNUT CREEK;

JUGLANS;

EID: 84861846073     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2012.690540     Document Type: Article

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