光谱指数的植物叶片叶绿素含量估算模型  

Research on Spectrum Variance of Vegetation Leaves and Estimation Model for Leaf Chlorophyll Content Based on the Spectral Index

作　　者：李哲[1,2] 张飞[1,2,3] 陈丽华 张海威 LI Zhe;ZHANG Fei;CHEN Li-hua;ZHANG Hai-wei(College of Resources&Environmental Science,Xinjiang University,Urumqi 830046,China;Key Laboratory of Oasis Ecology,Xinjiang University,Urumqi 830046,China;General Institutes of Higher Learning Key Laboratory of Smart City and Environmental Modeling,Xinjiang University,Urumqi 830046,China;Area Management Bureau of Ebinur Lake Wetland Natural Reserve,Bole 833400,China)

机构地区：[1]新疆大学资源与环境科学学院,新疆乌鲁木齐830046 [2]新疆大学绿洲生态教育部重点实验室,新疆乌鲁木齐830046 [3]新疆智慧城市与环境建模普通高校重点实验室,新疆乌鲁木齐830046 [4]新疆艾比湖湿地国家级自然保护区管理局,新疆博乐833400

出　　处：《光谱学与光谱分析》2018年第5期1533-1539,共7页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目-新疆本地优秀青年培养专项(U1503302);国家自然科学基金项目(41361045)资助

摘　　要：叶片叶绿素能够有效监测植被的生长状况,利用光谱指数反演植被叶绿素含量是目前的通用方法。实测了盐生植物光谱反射率和叶片叶绿素含量。对SPAD值进行变换,对比Pearson与VIP方法探讨盐生植被叶片叶绿素含量与植被指数的相关性并进行精度验证,从中选出最佳拟合模型。研究表明,通过对Pearson与VIP相关性分析,最终选定VIP方法建立植被指数的叶片叶绿素估算模型,NDVI_(705),ARVI,CI_(red edge),PRI,VARI,PSRI和NPCI的VIP值均大于0.8,因此选定这七个植被指数为最优植被指数;预测结果显示,所有模型的相关性都在0.7以上,预测值与实测值相关性最好的是经过倒数变换的SPAD值,R=0.816,RMSE=0.007。基于VIP方法的反演模型能较好地估算研究区植被叶绿素含量,该方法为植物叶绿素含量诊断的实际应用提供了重要的理论依据和技术支持。The chlorophyll can effectively monitoring vegetation growth status,currentlythe hyperspectral vegetation index(VI)is one of the common methods that have been widely applied to estimate the leaf chlorophyll content(LCC)inversion.Non-destructive rapid estimation of chlorophyll using hyperspectral remote sensing technology is a prerequisite to dynamically monitor chlorophyll content,andit is an important research issue of vegetation remote sensing.The author measured the leaf spectral reflectance and chlorophyll relative content of desert plants,analyzed the spectral curves of different desert plants under the same chlorophyll content,then transformed the SPAD value,compared Pearson and VIPmethods to study the correlation between chlorophyll content and vegetation index of desert vegetation.Finally,the author selected the best fitting model from accuracy test.The results showed that:Based on the comparative analysis between Pearson and VIP,established the chlorophyll content estimation model by VIP method,selected 7 vegetation indices,which was NDVI 705,ARVI,CI red edge,PRI,VARI,PSRI and NPCI respectively,the value of VIP all greater than 0.8,thus these 7 vegetation indices were the optimal vegetation indices.The prediction results indicated that the correlation of all models was more than 0.7,the best correlation between the predicted value and the measured value was the SPAD value of the reciprocal transformation,R=0.816,RMSE=0.007.The inversion model based on VIP method can estimate the chlorophyll content of vegetation in the study area,it provides an important theoretical basisand technical support for the practical application in the diagnosis of plant chlorophyll content.

关 键 词：叶绿素含量 植被指数 估算模型 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]