利用植被指数估算叶绿素含量的模型模拟研究--以PROSPECT＋DART模型为例  

Estimations of Chlorophyll Content from Vegetation Indices by Using PROSPECT and DART

作　　者：曾毓燕 施润和[1,2,3] 刘浦东[1,2] 王弘[1,2] 无 

机构地区：[1]华东师范大学地理信息科学教育部重点实验室,上海200241 [2]华东师范大学地理科学学院,上海200241 [3]华东师范大学环境遥感与数据同化联合实验室,上海200241 [4]华东师范大学、美国科罗拉多州立大学中美新能源与环境联合研究院,上海200062

出　　处：《遥感技术与应用》2017年第4期667-673,共7页Remote Sensing Technology and Application

基　　金：国家重点研发计划课题(2016YFC1302602);上海市卫计委重点学科建设项目(15GWZK0201);上海市科委重大项目(15dz1207805、13231203804);国家自然科学基金项目(41201358)

摘　　要：以我国主要速生树种桉树为建模树种,利用基于叶片内部辐射传输机制的PROSPECT模型和冠层三维辐射传输模型DART模型,对归一化植被指数NDVI、结构无关色素指数SIPI、显色指数COI、简单比植被指数SR、卡特指数CAI、红边位置指数REP_Li等6种植被指数与叶绿素含量间的关系进行了探究。结果表明:在仅叶绿素含量变化的情况下,在叶片尺度上COI和SIPI对叶片叶绿素含量较敏感,且无明显的饱和现象;在冠层尺度上6种植被指数均受叶面积指数LAI影响显著,无法用于估算叶片叶绿素含量,但可以用来估算冠层叶绿素含量,COI和SIPI在这方面较其他几种植被指数效果较好。With the aid of a well-known leaf optical model PROSPECT and a canopy scale model DART（Discrete Anisotropic Radiative Transfer）,sensitivities between chlorophyll content and six different vegetation indices were investigated by simulating eucalyptus,one of a dominant fast-growing tree in China,as an example.Vegetation indices used here include Normalized Difference Vegetation Index（NDVI）,Structure Insensitive Pigment Index（SIPI）,Colouration Index（COI）,Simple Ratio Index（SR）,Cater Index（CAI）,and Red-edge Position Linear Interpolation（REP_Li）.Results indicate that at the leaf scale,COI and SIPI are sensitive to the LCC（Leaf Chlorophyll Content）as the Chlorophyll Content changes.Meanwhile,no obvious saturation phenomenon is observed for these two indices compared to other indices.Further investigations show that all these vegetation indices are incapable of estimating LCC at the canopy scale,due to significant influences from LAI（Leaf Area Index）.Nevertheless,it suggests that SIPI and COI can be applied to estimate the CCC（Canopy Chlorophyll Content）.

关 键 词：PROSPECT DART 植被指数 叶绿素含量 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]