Desertification Information Extraction Along the China-Mongolia Railway Supported by Multisource Feature Space and Geographical Zoning Modeling

doi:10.1109/JSTARS.2019.2962830

	Desertification Information Extraction Along the China-Mongolia Railway Supported by Multisource Feature Space and Geographical Zoning Modeling
	Wei, Haishuo 1,3; Wang, Juanle 2,3; Han, Baomin 1
刊名	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
	2020
卷号	13 页码:392-402
关键词	Monitoring remote sensing
ISSN号	1939-1404
DOI	10.1109/JSTARS.2019.2962830
通讯作者	Wang, Juanle(wangjl@igsnrr.ac.cn)
英文摘要	The China-Mongolia railway is the core foundation for the construction of traffic connection in the China-Mongolia-Russia economic corridor. Long-term desertification has brought significant ecological risks to the railway area. Owing to the large variety of vegetation cover in this region, desertification information is easily confused with other weak vegetation cover information. This article proposes a refined desertification information extraction method based on multisource feature spaces and geographical zoning modeling. First, based on the geographical zoning, land cover, and vegetation coverage data for Mongolia, the railway area is divided into the Central provinces and their northern region, the Eastern Mongolian Plateau, and the Southern Gobi region. According to the vegetation coverage characteristics and the applicability of various feature space models to different geographical regions, Albedo-normalized difference vegetation index, Albedo-modified soil adjusted vegetation index, and Albedo-topsoil grain size index feature space models were constructed for three geographical regions. Faced with new challenges presented by global warming and the impact of monsoons on the classification and extraction of desertification information, we established a desertification classification system with six levels (severe desertification, high desertification, medium desertification, low desertification, withered grassland, and nondesertification) and complete desertification information extraction. The results show that the overall classification accuracy of the method selected in this article is 85.21%. We further analyzed the mechanism of this method, compared it with previous studies, and thereby proved that this method is feasible to extract the fine information of desertification in large areas and complex geographical environments.
资助项目	National Nature Science Foundation of China[41971385] ; Strategic Priority Research Program (Class A) of the Chinese Academy of Sciences[XDA19040501] ; Strategic Priority Research Program (Class A) of the Chinese Academy of Sciences[XDA2003020302] ; fund program of the Asia Research Center, Mongolia ; Korea Foundation for Advanced Studies[P2018-3606] ; Construction Project of the ChinaKnowledge Center for Engineering Sciences and Technology[CKCEST-2019-3-6]
WOS关键词	MONITORING DESERTIFICATION ; VEGETATION COVER ; LAND DEGRADATION ; INDEX ; NDVI ; AREA
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000526639900032
资助机构	National Nature Science Foundation of China ; Strategic Priority Research Program (Class A) of the Chinese Academy of Sciences ; fund program of the Asia Research Center, Mongolia ; Korea Foundation for Advanced Studies ; Construction Project of the ChinaKnowledge Center for Engineering Sciences and Technology
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/134048]
专题	中国科学院地理科学与资源研究所
通讯作者	Wang, Juanle
作者单位	1.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255049, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Wei, Haishuo,Wang, Juanle,Han, Baomin. Desertification Information Extraction Along the China-Mongolia Railway Supported by Multisource Feature Space and Geographical Zoning Modeling[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2020,13:392-402.
APA	Wei, Haishuo,Wang, Juanle,&Han, Baomin.(2020).Desertification Information Extraction Along the China-Mongolia Railway Supported by Multisource Feature Space and Geographical Zoning Modeling.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,13,392-402.
MLA	Wei, Haishuo,et al."Desertification Information Extraction Along the China-Mongolia Railway Supported by Multisource Feature Space and Geographical Zoning Modeling".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 13(2020):392-402.