How do spatial scale, noise, and reference data affect empirical estimates of error in ASAR-derived 1 km resolution soil moisture?

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

Volumn 7, Issue 9, 2014, Pages 3880-3891

  Doubkova, Marcela ^a,b   Dostalova, Alena ^b   Van Dijk, Albert I J M ^c   Bloschl, Gunter ^b   Wagner, Wolfgang ^b   Fernandez Prieto, Diego ^a  

^a ESA ESRIN   (Italy)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^c AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Advanced synthetic aperture radar global mode (ASAR GM); bivariate analyses; Pearson correlation coefficient; root mean square error (RMSE); soil moisture; synthetic aperture radar (SAR)

Indexed keywords

SYNTHETIC APERTURE RADAR;

ADVANCED SYNTHETIC APERTURE RADARS; BIVARIATE ANALYSIS; EMPIRICAL ESTIMATE; PEARSON CORRELATION COEFFICIENTS; REFERENCE DATA; ROOT-MEAN-SQUARE ERRORS; SPATIAL SCALE;

SOIL MOISTURE;

CORRELATION; DATA ASSIMILATION; EMPIRICAL ANALYSIS; ERROR ANALYSIS; ESTIMATION METHOD; IMAGE RESOLUTION; SOIL MOISTURE; SYNTHETIC APERTURE RADAR;

AUSTRALIA;

EID: 84910100993     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2324657     Document Type: Article

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