干旱区生态环境知识资源中心(Arid): Discriminating growth stages of an endangered Mediterranean relict plant (Ammopiptanthus mongolicus) in the arid Northwest China using hyperspectral measurements

Arid

DOI	10.1016/j.scitotenv.2018.12.060
	Discriminating growth stages of an endangered Mediterranean relict plant (Ammopiptanthus mongolicus) in the arid Northwest China using hyperspectral measurements
	Li, Ruili 1; Yan, Chunhua 1; Zhao, Yunxia 1; Wang, Pei 2; Qiu, Guo Yu 1
通讯作者	Qiu, Guo Yu
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2019
卷号	657 页码:270-278
英文摘要	Ammopiptanthus mongolicus, the only drought-resistant, leguminous, evergreen shrub in the desert region of China, is endangered clue to climate change and its growth stages urgently need to be non-destructively detected. Although many spectral indexes have been proposed for characterizing vegetation, the relationships arc often inconsistent, making it challenging to characterize the status of vegetation across all growth stages. This study investigated the Spectral Features of the endangered desert plant A. mongolicus at different growth stages, and extracted the identified Spectral Features for the establishment of detection and discrimination models using Partial Least Square Regression (PLSR) and Fisher Linear Discriminate Analysis (FLDA), respectively. The results showed spectral reflectance of A. mongolicus differed across different growth stages and it generally increased with the degree of senescence. Poor performance was found in the single factor model, with RMSE ranging from 20.34 to 27.39 or Overall Accuracy of 60% in the validation datasets. The multivariate PLSR model, based on Normalized Difference Vegetation Index (NDVI), Normalized Difference Red Edge Index (NDRE), Physiological Reflectance Index (PhRI) and Plant Senescence Reflectance Index (PSRI), turned out to be accurate in detecting the growth stages, with R-2 of 0.89 and RMSE of 12.46, and the performance of the multivariate FLDA model based on 14 Spectral Features was acceptable, with an Overall Accuracy of 89% in the validation datasets. This research provides usefid insights for timely and non-destructively discriminating different growth stages by using multivariate PLSR and FLDA analysis. (C) 2018 Elsevier B.V. All rights reserved.
英文关键词	Hyperspectral Growth stages Fisher Linear Discrimination Analysis (FLDA) Partial Least Square Regression (PLSR) Spectral Features (SFs)
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000455903400029
WOS关键词	VEGETATION INDEXES ; SPECTRAL REFLECTANCE ; WATER-CONTENT ; ABSORPTION FEATURES ; ESTIMATION ACCURACY ; OPTICAL-PROPERTIES ; WHEAT NITROGEN ; LEAF ; CANOPY ; IDENTIFICATION
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	北京大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218643
作者单位	1.Peking Univ, Sch Environm & Energy, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China; 2.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Li, Ruili,Yan, Chunhua,Zhao, Yunxia,et al. Discriminating growth stages of an endangered Mediterranean relict plant (Ammopiptanthus mongolicus) in the arid Northwest China using hyperspectral measurements[J]. 北京大学,2019,657:270-278.
APA	Li, Ruili,Yan, Chunhua,Zhao, Yunxia,Wang, Pei,&Qiu, Guo Yu.(2019).Discriminating growth stages of an endangered Mediterranean relict plant (Ammopiptanthus mongolicus) in the arid Northwest China using hyperspectral measurements.SCIENCE OF THE TOTAL ENVIRONMENT,657,270-278.
MLA	Li, Ruili,et al."Discriminating growth stages of an endangered Mediterranean relict plant (Ammopiptanthus mongolicus) in the arid Northwest China using hyperspectral measurements".SCIENCE OF THE TOTAL ENVIRONMENT 657(2019):270-278.