Evaluating the Utility of Remotely Sensed Soil Moisture Retrievals for Operational Agricultural Drought Monitoring

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

Volumn 3, Issue 1, 2010, Pages 57-66

  Bolten, John D ^a   Crow, Wade T ^b   Jackson, Thomas J ^b   Zhan, Xiwu ^c   Reynolds, Curt A ^d  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c OFFICE OF RESEARCH AND APPLICATIONS   (United States)

^d Washington DC   (United States)

Author keywords

Agriculture; data assimilation; remote sensing; soil moisture

Indexed keywords

ADVANCED MICROWAVE SCANNING RADIOMETER; AGRICULTURAL DROUGHT; AGRICULTURAL YIELDS; AGRICULTURE DATA; CROP GROWTH; DATA ASSIMILATION; DATA ASSIMILATION SYSTEMS; DATA SOURCE; ENSEMBLE KALMAN FILTER; EXPERIMENTAL APPROACHES; GLOBAL PRECIPITATION; LOW QUALITIES; MODEL SIMULATION; NORTH AMERICAN; PRECIPITATION PRODUCTS; REMOTELY SENSED SOIL MOISTURE; SATELLITE PRECIPITATION; SIMPLIFIED MODELS; SOIL MOISTURE ANALYSIS; SOIL MOISTURE MODEL; SURFACE SOIL MOISTURE RETRIEVAL; TWO LAYERS; UNITED STATES DEPARTMENT OF AGRICULTURES;

AGRICULTURE; DATA PROCESSING; DESIGN; ERRORS; GEOLOGIC MODELS; GROUNDWATER; MOISTURE CONTROL; MOISTURE DETERMINATION; NASA; PERMITTIVITY; QUALITY CONTROL; RAIN; REMOTE SENSING; SATELLITE IMAGERY; SOIL MOISTURE; TEMPERATURE MEASUREMENT;

SOIL SURVEYS;

AGRICULTURAL APPLICATION; CROP PRODUCTION; CROP YIELD; DATA ASSIMILATION; DROUGHT; ERROR CORRECTION; GROWTH RATE; KALMAN FILTER; MICROWAVE RADIOMETER; MONITORING SYSTEM; PRECIPITATION INTENSITY; RAINFALL; REMOTE SENSING; SATELLITE IMAGERY; SOIL MOISTURE; UNCERTAINTY ANALYSIS;

NORTH AMERICA; UNITED STATES;

EID: 77649163834     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2009.2037163     Document Type: Article

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