Retrieving soil moisture from simulated brightness temperatures by a neural network

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32629

Title:	Retrieving soil moisture from simulated brightness temperatures by a neural network
Authors:	Liou,YA;Liu,SF;Wang,WJ
Contributors:	電機工程研究所
Keywords:	PASSIVE MICROWAVE MEASUREMENTS;PROCESS RADIOBRIGHTNESS MODEL;LAND-SURFACE PARAMETERS;COUPLED HEAT;VEGETATION;TRANSPORT;GRASSLAND;FIELDS
Date:	2001
Issue Date:	2010-07-06 18:34:37 (UTC+8)
Publisher:	中央大學
Abstract:	We present the retrievals of surface soil moisture (SM) from simulated brightness temperatures by a newly developed error propagation learning back propagation (EPLBP) neural network. The frequencies of interest include 6.9 and 10.7 GHz of the advanced mi
Relation:	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Appears in Collections:	[Graduate Institute of Electrical Engineering] journal & Dissertation

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