干旱区生态环境知识资源中心(Arid): Spatio-temporal distribution of NDVI and its influencing factors in China

Arid

DOI	10.1016/j.jhydrol.2021.127129
	Spatio-temporal distribution of NDVI and its influencing factors in China
	Jin, Haoyu; Chen, Xiaohong; Wang, Yuming; Zhong, Ruida; Zhao, Tongtiegang; Liu, Zhiyong; Tu, Xinjun
通讯作者	Chen, XH (corresponding author), Sun Yat Sen Univ, Ctr Water Resources & Environm, Guangzhou 510275, Peoples R China.
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2021
卷号	603
英文摘要	Normalized Difference Vegetation Index (NDVI) is an important indicator reflecting the state of regional climate and environment, which is affected by precipitation, temperature, soil water content, and so on. This study analyzed the influence of different factors on NDVI through the spearman correlation coefficient (SCC) and standard regression coefficient (SRC), carried out climate zoning in China through principal component analysis (PCA) and cluster analysis, simulated the NDVI value through deep learning algorithm, and analyzed the spatial mutation positions of different factors through concept drift detection. The research results show that the main factor that affects NDVI in most areas of China is surface soil moisture (SSM), followed by temperature, while in arid areas root zone soil moisture (RZSM) and profile soil moisture (PSM) are the main influencing factors. The climate zones of China can be roughly divided into northern, southern and northwestern inland areas, while there are transitional zones between different main zones. The deep learning algorithm can simulate the NDVI value very well, and the Nash efficiency coefficients (NSE) during training and verification periods are 0.893 and 0.833, respectively. However, the details of some areas are rough. This shows that the selected impact factors can basically determine the status of NDVI, and these impact factors can be used to predict the changes in NDVI. The environmental drift areas discovered by concept drift detection are mainly in the Heilongjiang River Basin in Northeastern China, Yunnan, Sichuan, and Southern Tibet in Southwestern China, and Gansu, Qinghai and Xinjiang in Northwestern China. This study provides an important reference for the analysis of environmental regional zoning, climate change detection and simulation.
英文关键词	Correlation analysis Principal component analysis Clustering analysis Deep learning Concept drift detection
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000731712200007
WOS关键词	CLIMATE-CHANGE ; VEGETATION ; REGION ; IMPACT ; SOIL ; NET
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373973
作者单位	[Jin, Haoyu; Chen, Xiaohong; Wang, Yuming; Zhong, Ruida; Zhao, Tongtiegang; Liu, Zhiyong; Tu, Xinjun] Sun Yat Sen Univ, Ctr Water Resources & Environm, Guangzhou 510275, Peoples R China; [Jin, Haoyu; Chen, Xiaohong; Wang, Yuming; Zhong, Ruida; Zhao, Tongtiegang; Liu, Zhiyong; Tu, Xinjun] Sun Yat Sen Univ, Guangdong Engn Technol Res Ctr Water Secur Regula, Guangzhou 510275, Peoples R China; [Jin, Haoyu; Chen, Xiaohong; Wang, Yuming; Zhong, Ruida; Zhao, Tongtiegang; Liu, Zhiyong; Tu, Xinjun] Sun Yat Sen Univ, Key Lab Water Cycle & Water Secur Southern China, Guangdong High Educ Inst, Guangzhou 510275, Peoples R China
推荐引用方式 GB/T 7714	Jin, Haoyu,Chen, Xiaohong,Wang, Yuming,et al. Spatio-temporal distribution of NDVI and its influencing factors in China[J],2021,603.
APA	Jin, Haoyu.,Chen, Xiaohong.,Wang, Yuming.,Zhong, Ruida.,Zhao, Tongtiegang.,...&Tu, Xinjun.(2021).Spatio-temporal distribution of NDVI and its influencing factors in China.JOURNAL OF HYDROLOGY,603.
MLA	Jin, Haoyu,et al."Spatio-temporal distribution of NDVI and its influencing factors in China".JOURNAL OF HYDROLOGY 603(2021).