植被叶面积指数与叶片聚集度系数遥感反演方法研究

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1、RetrievalofleafareaindexandfoliageclumpingindexfromremotelysenseddataByGaolongZHUSupervisor：Prof．JingmingCHENProf．WeiminJ1JADissertationSubmittedtoSchoolofGeographicalandOceanographicSciencesofNanjingUniversityInpartialfulfillmentoftherequirememsforthedegreeofDoctorofPhilosophy2011Thisresearchis

2、sponsoredbyNationalHighTechnologyResearchandDevelopmentProgramofChina(No．2009AAl22134)SPECIALIZATION：．CartologyandGeographicInformationSystem．．．．．．．．．．．POSTGRADUATE：Q垒Q!Q坠g圣鲤ABSTRACTLeafareaindex(LAI)isoneofthemostimportantstructuralparameterscontrollingthevegetationbiophysicalprocesses，andisthe

3、reforeneededinmostlandprocessmodeling．AsanadditionalbiophysicalparameterofcomparableimportancetoLAI，theclumpingindexquantifiesthedeviationoftheleafspatialdistributionfromtherandomcase。ItisusefulforconvertingtheeffectiveLAItothetrueLAIandforseparatingthecanopyintosunlitandshadedleavesinphotosynth

4、esisandevapotranspirationmodeling．However,duetothelackofhighresolutionmulti。angularremotesensingdata，thereareonlyfewclumpingindexmapsavailablepresently．Thisthesisisfocusedonanewinversionalgorithmofthe500mresolutionclumpingindexandtrueLAIfromMODIS(ModerateResolutionImagingSpectroradiometer)data．T

5、he500mresolutionclumpingindexandtrueLAIoverChinaarefirstpresentedinthisstudy,whichcanbesuppliedtousersforvariouslandsurfacestudies．The500mresolutionMODISBRDF(BidirectionalReflectanceDistributionFunction)modelparametersproduct(MCD43A1)makesuseofmulti．dateobservationdataandasemi—empiricalkernel-dr

6、ivenBRDFmodel(Ross．Limodel)todetermineaglobalsetofBRDFparametersdescribingtheanisotropicbehaviorofsurfacescattering，whichprovidesanewwaytoretrievetheclumpingindexofvegetatedsurfacesoverlargeareas．TheabilityoftheRoss．Limodeltosimulatethebidirectionalreflectanceisassessedbycomparingitssimulatedref

7、lectancebasedontheMCD43A1datawithobservedPOLDER一3(PolarizationandDirectionalityofEarthReflectance)BRDFdata．ItisfoundthattheRoss．Limodelsimulateswellthebidirectionalreflectanceofgroundobjectsatmostobservationangles，butsignifi