详细信息
Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China ( SCI-EXPANDED收录) 被引量:25
文献类型:期刊文献
英文题名:Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China
作者:Dou, Zhiguo[1,2,3] Cui, Lijuan[1,2,3] Li, Jing[1,2,3] Zhu, Yinuo[1,2,3] Gao, Changjun[4] Pan, Xu[1,2,3] Lei, Yinru[1,2,3] Zhang, Manyin[1,2,3] Zhao, Xinsheng[1,2,3] Li, Wei[1,2,3]
第一作者:Dou, Zhiguo
通信作者:Li, W[1];Li, W[2];Li, W[3]
机构:[1]Chinese Acad Forestry, Inst Wetland Res, Beijing 100091, Peoples R China;[2]Beijing Key Lab Wetland Serv & Restorat, Beijing 100091, Peoples R China;[3]Beijing Hanshiqiao Natl Wetland, Ecosyst Res Stn, Beijing 101399, Peoples R China;[4]Guangdong Acad Forestry, Guangzhou 510520, Guangdong, Peoples R China
年份:2018
卷号:10
期号:4
外文期刊名:SUSTAINABILITY
收录:;Scopus(收录号:2-s2.0-85045276871);WOS:【SSCI(收录号:WOS:000435188000231),SCI-EXPANDED(收录号:WOS:000435188000231)】;
基金:We acknowledge financial support from the National Key R&D Program of China (2017YFC0506200) and thank Glenn Pennycook, MSc, from Liwen Bianji, Edanz Group China (www.liwenbianji.cn/ac), for editing the English text of a draft of this manuscript.
语种:英文
外文关键词:chlorophyll content; hyperspectral; estimation model; mangrove
摘要:The chlorophyll content can indicate the general health of vegetation, and can be estimated from hyperspectral data. The aim of this study is to estimate the chlorophyll content of mangroves at different stages of restoration in a coastal wetland in Quanzhou, China, using proximal hyperspectral remote sensing techniques. We determine the hyperspectral reflectance of leaves from two mangrove species, Kandelia candel and Aegiceras corniculatum, from short-term and long-term restoration areas with a portable spectroradiometer. We also measure the leaf chlorophyll content (SPAD value). We use partial-least-squares stepwise regression to determine the relationships between the spectral reflectance and the chlorophyll content of the leaves, and establish two models, a full-wave-band spectrum model and a red-edge position regression model, to estimate the chlorophyll content of the mangroves. The coefficients of determination for the red-edge position model and the full-wave-band model exceed 0.72 and 0.82, respectively. The inverted chlorophyll contents are estimated more accurately for the long-term restoration mangroves than for the short-term restoration mangroves. Our results indicate that hyperspectral data can be used to estimate the chlorophyll content of mangroves at different stages of restoration, and could possibly be adapted to estimate biochemical constituents in leaves.
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