中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Hyperspectral indices for leaf and pixel chlorophyll estimation in open-canopy tree

文献类型:会议论文

作者Zhao ; Jin1 ; 2 ; Chen ; Xi1 ; Japper ; Guli1 ; Chang ; Huaitian1 ; Zhongguo ; Ma.1 ; Duan ; Yuanbin2
出版日期2007
会议名称Proceedings of SPIE - The International Society for Optical Engineering,Geoinformatics 2007: Remotely Sensed Data and Information
会议日期2007
会议地点Wuhan, China
关键词Field data - Heperion pixels - Tarim river - Vegetation indices
中文摘要In this paper, the goal is to found indices best for Cab estimation with leaves and heperion pixels. There are several indices chosen, which showed best results for Cab estimation at both leaf and canopy levels in other studies. Forty-eight typical leaves were sampled in middle and lower reach of the Tarim River, Xinjiang, China. Leaf reflectance and Chlorophyll of leaves collected. Result demonstrated that Indices such as red edge and derivative indices R750/R710, R740/R720, (R734-R747)/(R715+R720), Blog(1/R737), D715/D705,(R734-R747)/(R715+R726), (R694-R680)/(R732-R760) were shown to be the good indicators for Cab estimation at leaf. Hyperion data were acquired for Aqike section in the middle reaches of the Tarim River in Nine 28, 2006. Field data were collected at same day to coincide with the Hyperion, including Chlorophyll of each tree, LAI, green vegetation cover. LAI derived from scanopy 2006. Inventory field plots were 120m×120m quadrants, and Chlorophyll of pixel is deduced from field data of 360 trees. Generally good results are found for Cab estimation at pixel level with indices such as, (R734-R747)/(R715+R726), Blog(1/R737), (R694-R680)/(R732-R760) , TCARI, TCARI/OSAVI, MCARI/OSAVI and so on. It was found that (R734-R747)/(R715+R720), Blog(1/R737), D715/D705, (R734-R747)/(R715+R726), (R694-R680)/(R732-R760),R740/R720 were successfully test on leaves and piexls. On the other hand, the "modified" indices (TCARI, MCAVI, TCARI/OSAVI, MCARI/OSAVI) already give good results at the piexl level. (33 refs.)
收录类别EI
会议录MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications
ISSN号0277-786X
ISBN号10: 0819469122,13: 9780819469120
源URL[http://ir.xjlas.org/handle/365004/10768]  
专题新疆生态与地理研究所_中国科学院新疆生态与地理研究所(2010年以前数据)
推荐引用方式
GB/T 7714
Zhao,Jin1,2,et al. Hyperspectral indices for leaf and pixel chlorophyll estimation in open-canopy tree[C]. 见:Proceedings of SPIE - The International Society for Optical Engineering,Geoinformatics 2007: Remotely Sensed Data and Information. Wuhan, China. 2007.

入库方式: OAI收割

来源:新疆生态与地理研究所

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