Enhancing PTFs with remotely sensed data for multi-scale soil water retention estimation

Journal of Hydrology

Volumn 399, Issue 3-4, 2011, Pages 201-211

  Jana, Raghavendra B ^a   Mohanty, Binayak P ^a  

^a Texas A and M University   (United States)

Author keywords

Bayesian Neural Networks; Data; Multiscale methods; Non linear bias correction; Pedotransfer functions; Remote sensing

Indexed keywords

BAYESIAN NEURAL NETWORKS; DATA; MULTISCALE METHODS; NON-LINEAR BIAS CORRECTION; PEDOTRANSFER FUNCTIONS;

BAYESIAN NETWORKS; GEOLOGIC MODELS; HYDRAULICS; MARKOV PROCESSES; MONTE CARLO METHODS; PARAMETER ESTIMATION; REMOTE SENSING; SECURITY OF DATA; SOIL MOISTURE; SPACE OPTICS; TEXTURES; UNCERTAINTY ANALYSIS; WATER RESOURCES;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; BULK DENSITY; DATA INTERPRETATION; DATABASE; LEAF AREA INDEX; MARKOV CHAIN; MONTE CARLO ANALYSIS; PEDOTRANSFER FUNCTION; POLLUTANT TRANSPORT; REMOTE SENSING; SOIL TEXTURE; SOIL WATER; TOPOGRAPHY; VEGETATION COVER; WATER RETENTION;

EID: 79952005142     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2010.12.043     Document Type: Article

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