Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation

Remote Sensing of Environment

Volumn 134, Issue , 2013, Pages 234-248

  Paloscia, S ^a   Pettinato, S ^a   Santi, E ^a   Notarnicola, C ^b   Pasolli, L ^b   Reppucci, A ^c  

^a CNR   (Italy)

^b INSTITUTE FOR RENEWABLE ENERGY   (Italy)

^c Starlab   (Spain)

Author keywords

Artificial Neural Network; Backscattering coefficient; Inversion algorithms; Sentinel 1; Soil moisture maps

Indexed keywords

BACKSCATTERING COEFFICIENTS; INVERSION ALGORITHM; PROCESSING TIME; RETRIEVAL ACCURACY; SENTINEL-1; SOIL MOISTURE MAPPING; SOIL MOISTURE MAPS; VALIDATION RESULTS;

NEURAL NETWORKS; SOIL MOISTURE; SYNTHETIC APERTURE RADAR;

ALGORITHMS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BACKSCATTER; MAPPING METHOD; MODIS; NDVI; SATELLITE DATA; SENTINEL; SOIL MOISTURE;

AUSTRALIA; SPAIN;

EID: 84876317031     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.02.027     Document Type: Article

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