Statistical modeling of soil moisture, integrating satellite remote-sensing (SAR) and ground-based data

Remote Sensing

Volumn 7, Issue 3, 2015, Pages 2752-2780

  Hosseini, Reza ^a   Newlands, Nathaniel K ^b   Dean, Charmaine B ^c   Takemura, Akimichi ^d  

^a IBM RESEARCH   (United States)

^b LETHBRIDGE RESEARCH CENTRE   (Canada)

^c UNIVERSITY OF WESTERN ONTARIO   (Canada)

^d UNIVERSITY OF TOKYO   (Japan)

Author keywords

Agriculture; Cross validation; Multi scale; Prediction; RADARSAT; Soil moisture; Uncertainty

Indexed keywords

AGRICULTURE; DECISION SUPPORT SYSTEMS; FORECASTING; ITERATIVE METHODS; MOISTURE; REMOTE SENSING; SOIL SURVEYS; SOILS; SPACE-BASED RADAR; STATISTICAL METHODS; SYNTHETIC APERTURE RADAR; UNCERTAINTY ANALYSIS;

AGRICULTURAL DECISION SUPPORT; CROSS VALIDATION; ENVIRONMENTAL VARIABILITY; INTEGRATED MODELING APPROACHES; MULTI-SCALE; RADARSAT; SATELLITE REMOTE SENSING DATA; UNCERTAINTY;

SOIL MOISTURE;

EID: 84926351233     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70302752     Document Type: Article

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