Downscaling and forecasting of evapotranspiration using a synthetic model of wavelets and support vector machines

IEEE Transactions on Geoscience and Remote Sensing

Volumn 46, Issue 9, 2008, Pages 2692-2707

  Kaheil, Yasir H ^a,b   Rosero, Enrique ^c   Gill, M Kashif ^d   McKee, Mac ^a   Bastidas, Luis A ^a  

^a Utah State University   (United States)

^b Earth Institute   (United States)

^c UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^d PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

Data management; Learning systems; Multiresolution techniques; Water resources; Wavelet transforms

Indexed keywords

DISCRETE WAVELET TRANSFORMS; ELECTRIC FAULT CURRENTS; EVAPOTRANSPIRATION; FORECASTING; IMAGE ENHANCEMENT; IMAGE RETRIEVAL; LAWS AND LEGISLATION; LEARNING SYSTEMS; MATHEMATICAL TRANSFORMATIONS; TWO DIMENSIONAL; VECTORS; WATER CONSERVATION; WATER MANAGEMENT; WAVELET TRANSFORMS;

2-D DWT; AMERIFLUX; BASIS FUNCTIONS; CASE STUDIES; DATA MANAGEMENT; DEPENDENT VARIABLES; DISCRETE-WAVELET-TRANSFORM; DOWN-SCALING; EVAPOTRANSPIRATION (ET); HIGH-LOW; HIGHER RESOLUTION; INPUT VARIABLES; LOW-HIGH; LOW-PASS FILTERING; MULTIRESOLUTION TECHNIQUES; RIVER BASINS; SPATIAL SCALING; SYNTHETIC MODELS; TWO-DIMENSIONAL DWT; WATER RESOURCES;

SUPPORT VECTOR MACHINES;

EID: 50549085536     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2008.919819     Document Type: Article

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