Topographically based spatially averaging of SAR data improves performance of soil moisture models

Remote Sensing of Environment

Volumn 115, Issue 12, 2011, Pages 3507-3516

  Gala, T S ^a   Aldred, D A ^a   Carlyle, S ^a   Creed, I F ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

Canada; LiDAR; Prairie pothole; RADARSAT 1; Remote sensing; Soil moisture; Synthetic aperture radar; Topography

Indexed keywords

BACKSCATTER COEFFICIENTS; CANADA; COMPLEX PATTERN; DRAINAGE BASIN; EMPIRICAL MODEL; HILLSLOPES; PRAIRIE POTHOLE; RADAR BACKSCATTER; RADAR IMAGE; RADARSAT 1; SAR DATA; SIGNAL LOSS; SOIL MOISTURE MODEL; SPATIAL AVERAGING; TOPOGRAPHIC FEATURES;

BACKSCATTERING; CATCHMENTS; LANDFORMS; OPTICAL RADAR; PIXELS; REMOTE SENSING; SOIL MOISTURE; SOIL SURVEYS; SYNTHETIC APERTURE RADAR; TOPOGRAPHY;

GEOLOGIC MODELS;

BACKSCATTER; EMPIRICAL ANALYSIS; LIDAR; NOISE; PERFORMANCE ASSESSMENT; RADARSAT; REMOTE SENSING; SOIL MOISTURE; SYNTHETIC APERTURE RADAR; TOPOGRAPHIC MAPPING;

CANADA; PRAIRIE POTHOLE REGION;

EID: 81355146760     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.08.013     Document Type: Article

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