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An Integrated Field and Hyperspectral Remote Sensing Method for the Estimation of Pigments Content of Stipa Purpurea in Shenzha, Tibet
Kong, Bo1; He, Bing1; Yu, Huan2; Liu, Yu2
Corresponding AuthorBing He
2017
Source PublicationMATHEMATICAL PROBLEMS IN ENGINEERING
ISSN1024-123X
EISSN1563-5147
Pages1-10
SubtypeArticle
Abstract

Stipa purpurea is the representative type of alpine grassland in Tibet and the surviving and development material for herdsmen. This paper takes Shenzha County as the research area. Based on the analysis of typical hyperspectral variables sensitive to chlorophyll content of Stipa purpurea, 10 spectral variables with significant correlation with chlorophyll were extracted. The estimation model of chlorophyll was established. The photosynthetic pigment contents in the Shenzha area were calculated by using HJ- 1A remote sensing images. The results show that (1) there are significant correlations between chlorophyll content and spectral variables; in particular, the coefficient of Chlb in Stipa purpurea with RVI is the largest (0.728); (2) 10 variables are correlated with chlorophyll, and the order of correlation is Chlb > Chla > Chls; (3) for the estimation of Chla, the EVI is the best variable. RVI, NDVI, and VI2 are suitable for Chlb; RVI and NDVI are also suitable for the estimation of Chls; (4) the mean estimated content of Chla in Stipa bungeana is about 4.88 times that of Chlb, while Cars is slightly more than Chlb; (5) the distribution of Chla is opposite to Chlb and Chls content in water area.

KeywordCrop Chlorophyll Content Reflectance Measurements Spectral Reflectance Leaf Indexes Wheat Area
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
DOI10.1155/2017/4787054
WOS Subject ExtendedEngineering ; Mathematics
Indexed BySCI
WOS KeywordCROP CHLOROPHYLL CONTENT ; REFLECTANCE MEASUREMENTS ; SPECTRAL REFLECTANCE ; LEAF ; INDEXES ; WHEAT ; AREA
Language英语
Quartile4区
TOP
WOS SubjectEngineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000403871100001
Funding OrganizationNational Natural Science Funds of China(41301094) ; Hundred Young Talents Program of the Institute of Mountain Hazards and Environment(SDSQB-2015-02) ; Lead Strategic Project of the Chinese Academy of Sciences(XDB03030507) ; 973 National Project(2015CB452706) ; Open Fund for Spatial Information Technology Key Lab Bases of the Ministry of Land and Resources of China(KLGSIT2014-06)
Accession numberAccession number:20172803933648
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/18778
Collection数字山地与遥感应用中心
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
2.Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Kong, Bo,He, Bing,Yu, Huan,et al. An Integrated Field and Hyperspectral Remote Sensing Method for the Estimation of Pigments Content of Stipa Purpurea in Shenzha, Tibet[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2017:1-10.
APA Kong, Bo,He, Bing,Yu, Huan,&Liu, Yu.(2017).An Integrated Field and Hyperspectral Remote Sensing Method for the Estimation of Pigments Content of Stipa Purpurea in Shenzha, Tibet.MATHEMATICAL PROBLEMS IN ENGINEERING,1-10.
MLA Kong, Bo,et al."An Integrated Field and Hyperspectral Remote Sensing Method for the Estimation of Pigments Content of Stipa Purpurea in Shenzha, Tibet".MATHEMATICAL PROBLEMS IN ENGINEERING (2017):1-10.
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