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A NEW QUANTITATIVE WAY FOR DETERMINING LEAF AREA INDEXAND NET PRIMARY PRODUCTIVITY IN REGIONAL SCALE
作者姓名:Zhang  Renhua
作者单位:Zhang Renhua(Institute of Geography,CAS,Bejing 100101,P.R. China)Andres Kuusk(Estorua Observatory,Tatu,Estorua)Chen Gang(Ground Station of Satellite Remote Sensing,CAS,Behing 100086,P.R. China)Alan Strahler; Li Xiaonen(Remote Sensing Cater,Boston
摘    要:IntroductionThemaJorpurposeforremotesensingistoobtuinqUantitativevaluabledrirmationonvanousaPplicahons.PanicularlybiophysicalparametersinwionalandglobalscaleareofintereSttoanumberofdomams.ForinStancem,croPyteldestiInatinleafareaindex,chiorophyllcontentandheightofcroparecruaalindex.EvaPotranSirationinroponalscalenedstogctdistnbtaloninformationofcrophdghttoinferrowiessOfsuffoceandsoon.AsthoopthenormaldifferenceVegetaonindex(NDVI)hasbecameaverypoPularmethodtoeinmateLAI,therelationshipbet…


A NEW QUANTITATIVE WAY FOR DETERMINING LEAF AREA INDEX AND NET PRIMARY PRODUCTIVITY REGIONAL SCALE
Zhang Renhua.A NEW QUANTITATIVE WAY FOR DETERMINING LEAF AREA INDEXAND NET PRIMARY PRODUCTIVITY IN REGIONAL SCALE[J].Journal of Geographical Sciences,1996(4).
Authors:Zhang Renhua
Abstract:An inversion of bidirectional reflection distribution fiJnedon (BRDF) wastested using NK Model and NOAA AVHRR datu. The test involVed sensitiveanalysis, optimum inversion selecting, ground simulated expenment, calibrahngmeasuremed with satellite and computer image processmg. Results of comparisonwith NDVI indicatal that inversion of BRDF will have brigh developing prospect inthe next decade.
Keywords:leaf area index  transmission coefficient  inversion sensitivity  bidirectional refectance distribution function
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