干旱区生态环境知识资源中心(Arid): Desertification Information Extraction Along the China-Mongolia Railway Supported by Multisource Feature Space and Geographical Zoning Modeling

Arid

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 1,2; Wang, Juanle 2,3; Han, Baomin 1
通讯作者	Wang, Juanle
来源期刊	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN	1939-1404
EISSN	2151-1535
出版年	2020
卷号	13 页码:392-402
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.
英文关键词	Monitoring remote sensing
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000526639900032
WOS关键词	MONITORING DESERTIFICATION ; VEGETATION COVER ; LAND DEGRADATION ; INDEX ; NDVI ; AREA
WOS类目	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314713
作者单位	1.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255049, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, 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]. 中国科学院地理科学与资源研究所,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.