Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index-A Case Study of the Loess Plateau

doi:10.3390/su151813881

	Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index-A Case Study of the Loess Plateau
	Shi, Ming 1,2,3; Lin, Fei 1,3; Jing, Xia 2; Li, Bingyu 2; Shi, Yang 1,3; Hu, Yimin 1,3
刊名	SUSTAINABILITY
	2023-09-01
卷号	15
关键词	RSEI Loess Plateau ecological environment GOSIF
DOI	10.3390/su151813881
通讯作者	Hu, Yimin(ymhu@iim.ac.cn)
英文摘要	Ecosystems in arid and semi-arid areas are delicate and prone to different erosive effects. Monitoring and evaluating the environmental ecological condition in such areas contribute to the governance and restoration of the ecosystem. Remote sensing ecological indices (RSEIs) are widely used as a method for environmental monitoring and have been extensively applied in various regions. This study selects the arid and semi-arid Loess Plateau as the research area, in response to existing research on ecological monitoring that predominantly uses vegetation indices as monitoring indicators for greenness factors. A fluorescence remote sensing ecological index (SRSEI) is constructed by using monthly synthesized sun-induced chlorophyll fluorescence data during the vegetation growth period as a new component for greenness and combining it with MODIS product data. The study generates the RSEI and SRSEI for the research area spanning from 2001 to 2021. The study compares and analyzes the differences between the two indices and explores the evolution patterns of the ecosystem quality in the Loess Plateau over a 21-year period. The results indicate consistent and positively correlated linear fitting trend changes in the RSEI and SRSEI for the research area between 2001 and 2021. The newly constructed ecological index exhibits a higher correlation with rainfall data, and it shows a more significant decrease in magnitude during drought occurrences, indicating a faster and stronger response of the new index to drought in the research area. The largest proportions are found in the research area's regions with both substantial and minor improvements, pointing to an upward tendency in the Loess Plateau's ecosystem development. The newly constructed environmental index can effectively evaluate the quality of the ecosystem in the research area.
资助项目	We would like to extend our sincere thanks to Jingfeng Xiao and Xing Li of the University of New Hampshire. The authors thank them for providing the GOSIF data.
WOS关键词	URBAN HEAT-ISLAND ; COVER ; BASIN ; RIVER ; CAP
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种	英语
出版者	MDPI
WOS记录号	WOS:001072203200001
资助机构	We would like to extend our sincere thanks to Jingfeng Xiao and Xing Li of the University of New Hampshire. The authors thank them for providing the GOSIF data.
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/132495]
专题	中国科学院合肥物质科学研究院
通讯作者	Hu, Yimin
作者单位	1.Hefei Inst Collaborat Res & Innovat Intelligent Ag, Hefei 231131, Peoples R China 2.Xian Univ Sci & Technol, Coll Geomat, Xian 710054, Peoples R China 3.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China
推荐引用方式 GB/T 7714	Shi, Ming,Lin, Fei,Jing, Xia,et al. Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index-A Case Study of the Loess Plateau[J]. SUSTAINABILITY,2023,15.
APA	Shi, Ming,Lin, Fei,Jing, Xia,Li, Bingyu,Shi, Yang,&Hu, Yimin.(2023).Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index-A Case Study of the Loess Plateau.SUSTAINABILITY,15.
MLA	Shi, Ming,et al."Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index-A Case Study of the Loess Plateau".SUSTAINABILITY 15(2023).