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Sustainability
Volume 10
Issue 4
10.3390/su10041127
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Article

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

by
Zhiguo Dou
1,2,3,
Lijuan Cui
1,2,3,
Jing Li
1,2,3,
Yinuo Zhu
1,2,3,
Changjun Gao
4,
Xu Pan
1,2,3,
Yinru Lei
1,2,3,
Manyin Zhang
1,2,3,
Xinsheng Zhao
1,2,3 and
Wei Li
1,2,3,*
1
Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
2
Beijing Key Laboratory of Wetland Services and Restoration, Beijing 100091, China
3
Beijing Hanshiqiao National Wetland, Ecosystem Research Station, Beijing 101399, China
4
Guangdong Academy of Forestry, Guangzhou 510520, China
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(4), 1127; https://doi.org/10.3390/su10041127
Received: 25 January 2018 / Revised: 29 March 2018 / Accepted: 5 April 2018 / Published: 9 April 2018
(This article belongs to the Special Issue Coastal Ecosystems: Monitoring, Management, Restoration, Preservation, and Valuation)
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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. View Full-Text
Keywords: chlorophyll content; hyperspectral; estimation model; mangrove chlorophyll content; hyperspectral; estimation model; mangrove
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

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MDPI and ACS Style

Dou, Z.; Cui, L.; Li, J.; Zhu, Y.; Gao, C.; Pan, X.; Lei, Y.; Zhang, M.; Zhao, X.; Li, W. Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China. Sustainability 2018, 10, 1127. https://doi.org/10.3390/su10041127

AMA Style

Dou Z, Cui L, Li J, Zhu Y, Gao C, Pan X, Lei Y, Zhang M, Zhao X, Li W. Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China. Sustainability. 2018; 10(4):1127. https://doi.org/10.3390/su10041127

Chicago/Turabian Style

Dou, Zhiguo, Lijuan Cui, Jing Li, Yinuo Zhu, Changjun Gao, Xu Pan, Yinru Lei, Manyin Zhang, Xinsheng Zhao, and Wei Li. 2018. "Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China" Sustainability 10, no. 4: 1127. https://doi.org/10.3390/su10041127

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