Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China
Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China
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DOI：
10.3390/su10041127
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发表时间：
2018-04-01
期刊：
影响因子：
3.9
通讯作者：
Li, Wei
中科院分区：
文献类型：
--
作者：
Dou, Zhiguo;Cui, Lijuan;Li, Wei
叶绿素含量可以指示植被的总体健康状况，并且可以从高光谱数据中估计。利用近端高光谱遥感技术，对泉州滨海湿地不同恢复阶段红树林叶绿素含量进行了估算。利用便携式分光辐射计测定了短期和长期恢复区的秋茄和桐花树两种红树林叶片的高光谱反射率。我们还测量了叶片叶绿素含量（SPAD值）。采用偏最小二乘逐步回归方法确定了红树林叶片光谱反射率与叶绿素含量之间的关系，并建立了红树林叶绿素含量的全波段光谱模型和红边位置回归模型。红边位置模型和全波段模型的决定系数分别超过0.72和0.82。反演叶绿素含量的估计更准确的长期恢复比短期恢复红树林。我们的研究结果表明，高光谱数据可以用来估计红树林在不同阶段的恢复叶绿素含量，并可能适用于估计叶片中的生化成分。
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.