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遥感技术与应用
模型与反演     
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
曾毓燕1,2,施润和1,2,3,刘浦东1,2 ,王弘1,2
(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)
Estimations of Chlorophyll Content from Vegetation Indicesby Using PROSPECT and DART
Zeng Yuyan1,2,Shi Runhe1,2,3,Liu Pudong1,2,Wang Hong1,2
(1.Key Laboratory of Geographic Information Science,Ministry of Education,East China Normal University,Shanghai 200241,China;
2.School of Geographic Sciences,East China Normal University,Shanghai 200241,China;
3.Joint Laboratory for Environmental Remote Sensing and Data Assimilation,ECNU and CEODE,Shanghai 200241,China;4.Joint Research Institute for New Energy and the Environment,East China Normal University and  Colorado State University,Shanghai 200062,China)
 全文: PDF(1675 KB)  
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。
关键词: PROSPECTDART植被指数叶绿素含量    
Abstract: 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).
Key words: PROSPECT    DART    Vegetation indices    Chlorophyll Content
收稿日期: 2016-07-01 出版日期: 2017-09-13
:  TP 79  
基金资助: 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)。

作者简介: 曾毓燕(1991-),女,江苏宜兴人,硕士研究生,主要从事三维植被模拟方面的研究。Email:zengyygis@126.com。
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引用本文:

曾毓燕,施润和,刘浦东,王弘. 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[J]. 遥感技术与应用, 10.11873/j.issn.1004-0323.2017.4.0667.

Zeng Yuyan,Shi Runhe,Liu Pudong,Wang Hong. Estimations of Chlorophyll Content from Vegetation Indicesby Using PROSPECT and DART. Remote Sensing Technology and Application, 10.11873/j.issn.1004-0323.2017.4.0667.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2017.4.0667        http://www.rsta.ac.cn/CN/Y2017/V32/I4/667

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