Soil moisture content estimation based on Sentinel-1 and auxiliary earth observation products. A hydrological approach

Sensors (Switzerland)

Volumn 17, Issue 6, 2017, Pages

  Alexakis, Dimitrios D ^a   Mexis, Filippos Dimitrios K ^a   Vozinaki, Anthi Eirini K ^a   Daliakopoulos, Ioannis N ^a   Tsanis, Ioannis K ^a  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

Artificial neural network; Crete; HEC HMS; Landsat 8; Sentinel 1; Soil moisture content

Indexed keywords

BACKSCATTERING; MOISTURE DETERMINATION; NEURAL NETWORKS; SENSITIVITY ANALYSIS; SOIL MOISTURE; SOILS;

BACKSCATTERING COEFFICIENTS; CRETE; HEC-HMS; LANDSAT; LEAVE-ONE-OUT CROSS VALIDATIONS; NORMALIZED DIFFERENCE VEGETATION INDEX; SENTINEL-1; THERMAL INFRARED TEMPERATURE;

MOISTURE;

EID: 85021088833     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17061455     Document Type: Article

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