Exploring the potential of canopy reflectance spectra for estimating organic carbon content of aboveground vegetation in coastal wetlands
Exploring the potential of canopy reflectance spectra for estimating organic carbon content of aboveground vegetation in coastal wetlands
复制标题
探索冠层反射光谱估算沿海湿地地上植被有机碳含量的潜力
DOI：
10.1080/01431161.2021.1883201
复制
发表时间：
2021-05
影响因子：
3.4
通讯作者：
Zehui Li
中科院分区：
文献类型：
--
作者：
Hang Cheng;Jing Wang;Yingkun Du;Tianlin Zhai;Ying Fang;Zehui Li
准确估算滨海湿地植被的有机碳含量或碳储量对了解滨海湿地生态系统的碳循环至关重要。本研究旨在探讨海岸带湿地植被冠层光谱在估算地上植被有机碳含量（OCCAV）中的应用潜力。选取江苏滨海湿地54个具有代表性的植被样方，利用原位场光谱仪对其冠层反射光谱进行了测量。其中，采用分数阶导数（FOD）和最优波段组合算法两种先进的光谱预处理算法进行光谱预处理。采用偏最小二乘回归（PLSR）和支持向量机（SVM）建立OCCAV估计模型。将处理后的光谱参数构建的模型与5种传统预处理方法和15种常用植被指数对应的模型的精度进行了比较。结果表明，相对于一阶导数和二阶导数，FOD方法能捕捉到更细微的光谱特征。PLSR和SVM模型分别基于0.75和1.50阶导数谱获得最优估计精度，模型的性能与四分位间距（RPIQ）之比分别为2.57和2.97。此外，最优波段组合算法有效地提取了与OCCAV相关的敏感光谱参数，基于该算法提取的光谱参数建立的模型的精度普遍优于基于常见植被指数获得的模型。基于优化比例植被指数的SVM模型获得了最优的估计结果，RPIQ为3.10。综上所述，本研究为未来基于大尺度冠层高光谱影像估算湿地植被有机碳和碳储量的研究提供了理论基础，也有助于提高对湿地生态系统碳循环的认识。
ABSTRACT Accurate estimation of organic carbon content or carbon storage of coastal wetland vegetation is essential for understanding the carbon cycle of coastal wetland ecosystems. This study aimed to explore the potential of canopy spectra of coastal wetland vegetation in estimating the organic carbon content of aboveground vegetation (OCCAV). A total of 54 representative vegetation quadrats were selected from coastal wetlands in Jiangsu Province, China, and their canopy reflectance spectra were measured using an in situ field spectrometer. In particular, two advanced spectral algorithms, fractional-order derivative (FOD) and optimal band combination algorithm, were used for spectral pre-treatments. Partial least squares regression (PLSR) and support vector machine (SVM) were employed to establish the OCCAV estimation models. Accuracies of the models constructed by the processed spectral parameters were compared with that of the models corresponding to five traditional pre-treatment methods and 15 common vegetation indices. Results showed that the FOD method captured subtler spectral characteristics than the first and second derivatives. The optimal estimation accuracies of PLSR and SVM models were obtained based on 0.75 and 1.50 order derivative spectra, respectively, and the ratios of performance to interquartile range (RPIQ) of the models were 2.57 and 2.97, respectively. Moreover, the optimal band combination algorithm effectively extracted the sensitive spectral parameters related to OCCAV, and the accuracy of the model established based on the spectral parameters extracted by this algorithm was generally better than that of the model obtained by the common vegetation indices. The optimal estimation result was achieved by the SVM model based on the optimized ratio vegetation index, with an RPIQ of 3.10. In summary, this research provides a theoretical basis for future studies on estimating the organic carbon and carbon storage of wetland vegetation based on large-scale canopy hyperspectral images and also helps to improve the knowledge of the carbon cycle of wetland ecosystems.
登录
查看更多内容
影响因子：
8.9
作者：
Shaoqiang Wang;Chenghu Zhou;Jiyuan Liu;H. Tian;Kerang Li;Xiaomei Yang
通讯作者：
Shaoqiang Wang;Chenghu Zhou;Jiyuan Liu;H. Tian;Kerang Li;Xiaomei Yang
影响因子：
11.4
作者：
Tiezhu Shi;Huizeng Liu;Junjie Wang;Yiyun Chen;Teng Fei;Guofeng Wu
通讯作者：
Tiezhu Shi;Huizeng Liu;Junjie Wang;Yiyun Chen;Teng Fei;Guofeng Wu
影响因子：
11.4
作者：
Kemper, T;Sommer, S
通讯作者：
Sommer, S
影响因子：
13.5
作者：
TUCKER, CJ
通讯作者：
TUCKER, CJ
DOI：
--
发表时间：
2000
期刊：
Journal of Basic Science and Engineering
影响因子：
--
作者：
W. Chang-shan
通讯作者：
W. Chang-shan