基于像元信息分解的葉面積指數(shù)模型及長(zhǎng)江三角洲葉面積指數(shù)動(dòng)態(tài)監(jiān)測(cè).pdf

1、三二!三竺!竺!竺!竺蘭蘭竺竺蘭竺竺：!!竺竺翌!Z宣Zz；3中III大學(xué)碩士研究生畢業(yè)論文(申請(qǐng)碩士學(xué)位)基于像元信息分解的葉面積指數(shù)提取模型及長(zhǎng)江三角洲葉面積指數(shù)動(dòng)態(tài)監(jiān)測(cè)學(xué)位申請(qǐng)人：張瑋瑋專業(yè)r地圖學(xué)與地理信息系統(tǒng)研究方向：。遙感信息分析與地理信息系統(tǒng)導(dǎo)師：陳曉翔教授鄧孺孺副教授霧鍘未需：≤、!!=、f駕強(qiáng))委羹：澎烈《影彩f蓑“焉年；月r洲基于像元信息分解的葉面積指數(shù)提取模型及長(zhǎng)江三角洲葉面積指數(shù)動(dòng)態(tài)監(jiān)測(cè)TheModeltoExt

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3、areaindex(L出)isanimportantstructuralpropertyofvegetationcanopyandisatsooneofthebaNcquantitiesdrivingthealgorithmsusedinre酉onalandgiobalbiogeochemical，ecologicalandmeteorologicalapplicationsThispaperwasappliedtofindapract

4、icalquantitativeremotesensingmethodthatcouldgivecomparativelyacuteresultThispaperadvanceda圳modelthatbasedonthePixelInformationDecompositionModelFirst，wegetthearearatioofeachendmemberinpixThen，wecanderivevegetationcoverpe

5、rcentfromthearearatiosAccordingtotherelationshipbetweenvegetationcoverpercentandLAI，wecanextractL甜fromtheremotesensingimagerysuccessfullyFurthermore，thedispersionofthevegetationcanopyaffectsthevalueofLAISo，inthispaper，th

6、edispersionhasbeentakenintoconsiderationInthelaststepweadjustedthevalueofLuaccordingtOtheeffectofthedispersionofthevegetationcanopyTakingYangtzeRiverTriangleDeltaasthestudyareathispaperusedtheLAImodeladvancedontheMODISim