文献类型：期刊文献

英文题名：Estimation of above-ground biomass of reed (Phragmites communis) based on in situ hyperspectral data in Beijing Hanshiqiao Wetland, China

作者：Li, Wei[1,2,3] Dou, Zhiguo[1,2,3] Wang, Yan[4] Wu, Gaojie[1,2,3] Zhang, Manyin[1,2,3] Lei, Yinru[1,2,3] Ping, Yunmei[1,2,3] Wang, Jiachen[1,2,3] Cui, Lijuan[1,2,3] Ma, Wu[5]

第一作者：李卫;Li, Wei

通信作者：Cui, LJ[1]

机构：[1]Chinese Acad Forestry, Inst Wetland Res, Beijing 100091, Peoples R China;[2]Beijing Key Lab Wetland Serv & Restorat, Beijing 100091, Peoples R China;[3]Beijing Hanshiqiao Natl Wetland, Ecosyst Res Stn, Beijing 101399, Peoples R China;[4]Minist Environm Protect, Nanjing Inst Environm Sci, Nanjing 210042, Jiangsu, Peoples R China;[5]West Virginia Univ, Sch Nat Resources, Morgantown, WV 26506 USA

年份：2019

卷号：27

期号：1

起止页码：87-102

外文期刊名：WETLANDS ECOLOGY AND MANAGEMENT

收录：;Scopus(收录号：2-s2.0-85057019204);WOS:【SCI-EXPANDED(收录号:WOS:000461362800006)】；

基金：Work conducted by China's Special Fund for Basic Scientific Research Business of Central Public Research Institutes (Grant No. CAFYBB2017MA028).

语种：英文

外文关键词：Hyperspectral; Swamp wetlan; Emergent vegetation; Biomass; Empirical model

摘要：Accurate estimates of reed (Phragmites communis) biomass are critical for efficient reed swamp monitoring and management. This study compared the accuracy of commonly used empirical models in estimating above-ground biomass in dense swamp reeds in the Beijing Hanshiqiao Wetland Nature Reserve, northern China. Two-thirds of the samples were used for model construction, and one-third for model validation. Models for estimating reed above-ground biomass, based on original spectral reflectance, first-order differential spectrum, trilateral parameters and partial least squares (PLS), were constructed using univariate linear regression and the PLS method. Results showed that the biomass estimation model based on the first-order differential spectrum was relatively inefficient. Model accuracy was highest in the PLS model, followed by the original spectral reflectance model and was lowest in the trilateral parameters model. The model validation results were consistent with the accuracy of the established estimation model, so the model has good stability. We conclude that above-ground biomass can be successfully estimated using canopy hyperspectral information on wetland plants, based on the empirical model. The PLS method not only was more accurate in estimating fresh biomass but also represented a significant improvement in estimating dry biomass.