Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China
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 remo...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-04-01
|
Series: | Sustainability |
Subjects: | |
Online Access: | http://www.mdpi.com/2071-1050/10/4/1127 |
id |
doaj-05abff12fa2d41f9b4839fe68c47c0db |
---|---|
record_format |
Article |
spelling |
doaj-05abff12fa2d41f9b4839fe68c47c0db2020-11-25T00:59:35ZengMDPI AGSustainability2071-10502018-04-01104112710.3390/su10041127su10041127Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, ChinaZhiguo Dou0Lijuan Cui1Jing Li2Yinuo Zhu3Changjun Gao4Xu Pan5Yinru Lei6Manyin Zhang7Xinsheng Zhao8Wei Li9Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, ChinaInstitute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, ChinaInstitute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, ChinaInstitute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, ChinaGuangdong Academy of Forestry, Guangzhou 510520, ChinaInstitute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, ChinaInstitute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, ChinaInstitute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, ChinaInstitute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, ChinaInstitute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, ChinaThe 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.http://www.mdpi.com/2071-1050/10/4/1127chlorophyll contenthyperspectralestimation modelmangrove |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhiguo Dou Lijuan Cui Jing Li Yinuo Zhu Changjun Gao Xu Pan Yinru Lei Manyin Zhang Xinsheng Zhao Wei Li |
spellingShingle |
Zhiguo Dou Lijuan Cui Jing Li Yinuo Zhu Changjun Gao Xu Pan Yinru Lei Manyin Zhang Xinsheng Zhao Wei Li Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China Sustainability chlorophyll content hyperspectral estimation model mangrove |
author_facet |
Zhiguo Dou Lijuan Cui Jing Li Yinuo Zhu Changjun Gao Xu Pan Yinru Lei Manyin Zhang Xinsheng Zhao Wei Li |
author_sort |
Zhiguo Dou |
title |
Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China |
title_short |
Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China |
title_full |
Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China |
title_fullStr |
Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China |
title_full_unstemmed |
Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China |
title_sort |
hyperspectral estimation of the chlorophyll content in short-term and long-term restorations of mangrove in quanzhou bay estuary, china |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2018-04-01 |
description |
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. |
topic |
chlorophyll content hyperspectral estimation model mangrove |
url |
http://www.mdpi.com/2071-1050/10/4/1127 |
work_keys_str_mv |
AT zhiguodou hyperspectralestimationofthechlorophyllcontentinshorttermandlongtermrestorationsofmangroveinquanzhoubayestuarychina AT lijuancui hyperspectralestimationofthechlorophyllcontentinshorttermandlongtermrestorationsofmangroveinquanzhoubayestuarychina AT jingli hyperspectralestimationofthechlorophyllcontentinshorttermandlongtermrestorationsofmangroveinquanzhoubayestuarychina AT yinuozhu hyperspectralestimationofthechlorophyllcontentinshorttermandlongtermrestorationsofmangroveinquanzhoubayestuarychina AT changjungao hyperspectralestimationofthechlorophyllcontentinshorttermandlongtermrestorationsofmangroveinquanzhoubayestuarychina AT xupan hyperspectralestimationofthechlorophyllcontentinshorttermandlongtermrestorationsofmangroveinquanzhoubayestuarychina AT yinrulei hyperspectralestimationofthechlorophyllcontentinshorttermandlongtermrestorationsofmangroveinquanzhoubayestuarychina AT manyinzhang hyperspectralestimationofthechlorophyllcontentinshorttermandlongtermrestorationsofmangroveinquanzhoubayestuarychina AT xinshengzhao hyperspectralestimationofthechlorophyllcontentinshorttermandlongtermrestorationsofmangroveinquanzhoubayestuarychina AT weili hyperspectralestimationofthechlorophyllcontentinshorttermandlongtermrestorationsofmangroveinquanzhoubayestuarychina |
_version_ |
1725217582477213696 |