Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China

Zhiguo Dou, Lijuan Cui, Jing Li, Yinuo Zhu, Changjun Gao, Xu Pan, Yinru Lei, Manyin Zhang, Xinsheng Zhao and Wei Li
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Zhiguo Dou: Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Lijuan Cui: Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Jing Li: Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Yinuo Zhu: Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Changjun Gao: Guangdong Academy of Forestry, Guangzhou 510520, China
Xu Pan: Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Yinru Lei: Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Manyin Zhang: Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Xinsheng Zhao: Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Wei Li: Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China

Sustainability, 2018, vol. 10, issue 4, 1-15

Abstract: 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.

Keywords: chlorophyll content; hyperspectral; estimation model; mangrove (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:4:p:1127-:d:140251

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