Evaluation of the Oh, Dubois and IEM backscatter models using a large dataset of SAR data and experimental soil measurements

Water (Switzerland)

Volumn 9, Issue 1, 2017, Pages

  Choker, Mohammad ^a   Baghdadi, Nicolas ^a   Zribi, Mehrez ^b   El Hajj, Mohammad ^a   Paloscia, Simonetta ^c   Verhoest, Niko E C ^d   Lievens, Hans ^d,e   Mattia, Francesco ^f  

^a CEMAGREF   (France)

^b CESBIO   (France)

^c IFAC CNR   (Italy)

^d GHENT UNIVERSITY   (Belgium)

^e NASA GODDARD SPACE FLIGHT CENTER   (United States)

^f INSTITUTE OF INTELLIGENT SYSTEMS FOR AUTOMATION   (Italy)

Author keywords

AIEM; Dubois; IEM; Oh; SAR images; Soil moisture; Surface roughness

Indexed keywords

BACKSCATTERING; FUNCTION EVALUATION; INTEGRAL EQUATIONS; MOISTURE; POLARIZATION; RADAR; RADAR MEASUREMENT; SOIL MOISTURE; SOILS; SURFACE ROUGHNESS; SYNTHETIC APERTURE RADAR;

ADVANCED INTEGRAL EQUATIONS; AIEM; BACKSCATTERING COEFFICIENTS; DUBOIS; GAUSSIAN CORRELATION FUNCTIONS; RADAR BACKSCATTERING COEFFICIENT; SAR IMAGES; SAR(SYNTHETIC APERTURE RADAR);

SOIL SURVEYS;

BACKSCATTER; CALIBRATION; DATA SET; IMAGE ANALYSIS; IN SITU MEASUREMENT; POLARIZATION; SATELLITE DATA; SOIL MOISTURE; SURFACE ROUGHNESS; SYNTHETIC APERTURE RADAR; TERRASAR-X;

EID: 85011312004     PISSN: None     EISSN: 20734441     Source Type: Journal    
DOI: 10.3390/w9010038     Document Type: Article

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