Validation of GPS-IR Soil Moisture Retrievals: Comparison of Different Algorithms to Remove Vegetation Effects

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 9, Issue 10, 2016, Pages 4759-4770

  Small, Eric E ^a   Larson, Kristine M ^b   Chew, Clara C ^a,c   Dong, Jingnuo ^d   Ochsner, Tyson E ^d  

^a UNIVERSITY OF COLORADO   (United States)

^b UCB 450   (United States)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^d OKLAHOMA STATE UNIVERSITY   (United States)

Author keywords

Global positioning system; hydrologic measurements; remote sensing; soil measurements

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; GEODETIC SATELLITES; INTERFEROMETRY; MOISTURE; SIGNAL TO NOISE RATIO; SOIL MOISTURE; SOILS; VEGETATION;

ACCEPTABLE PERFORMANCE; DEGREES OF COMPLEXITY; FREQUENCY ANALYSIS; RETRIEVAL ALGORITHMS; SOIL MOISTURE RETRIEVALS; VALIDATION OF SATELLITE DATUM; VEGETATION WATER CONTENTS (VWC); VOLUMETRIC SOIL MOISTURES;

SOIL SURVEYS;

ALGORITHM; GPS; HYDROLOGY; REMOTE SENSING; SOIL MOISTURE; VEGETATION; WATER CONTENT;

EID: 84955621950     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2504527     Document Type: Article

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