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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:[電機工程研究所] 期刊論文

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