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Desertification Information Extraction Based on Feature Space Combinations on the Mongolian Plateau
Wei, Haishuo1,2; Wang, Juanle1,3,4; Cheng, Kai1,5; Li, Ge1,2; Ochir, Altansukh6; Davaasuren, Davaadorj7; Chonokhuu, Sonomdagva6
2018-10-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume10Issue:10Pages:17
Corresponding AuthorWang, Juanle(wangjl@igsnrr.ac.cn)
AbstractThe Mongolian plateau is a hotspot of global desertification because it is heavily affected by climate change, and has a large diversity of vegetation cover across various regions and seasons. Within this arid region, it is difficult to distinguish desertified land from other land cover types using low-quality vegetation information. To address this, we analyze both the effects and the applicability of different feature space models for the extraction of desertification information with the goal of finding appropriate approaches to extract desertification data on the Mongolian plateau. First, we used Landsat 8 remote sensing images to invert NDVI (normalized difference vegetation index), MSAVI (modified soil adjusted vegetation index), TGSI (topsoil grain size index), and albedo (land surface albedo) data. Then, we constructed the feature space models of Albedo-NDVI, Albedo-MSAVI, and Albedo-TGSI, and compared their extraction accuracies. Our results show that the overall classification accuracies of the three models were 84.53%, 85.60%, and 88.27%, respectively, indicating that the three feature space models are feasible for extracting information relating to desertification on the Mongolian plateau. Further analysis indicates that the Albedo-NDVI model is suitable for areas with a high vegetation cover or a high forest ratio, whilst the Albedo-MSAVI model is suitable for areas with relatively low vegetation cover, and the Albedo-TGSI model is suitable for areas with extremely low vegetation cover, including the widely distributed Gobi Desert and other barren areas. This study provides a technical selection reference for the investigation of desertification of different zones on the Mongolian plateau.
Keyworddesertification feature space Albedo-NDVI Albedo-MSAVI Albedo-TGSI Mongolia
DOI10.3390/rs10101614
WOS KeywordBROAD-BAND CONVERSIONS ; LAND-SURFACE ALBEDO ; VEGETATION INDEX ; NARROW-BAND ; DEGRADATION ; NDVI ; MODEL
Indexed BySCI
Language英语
Funding ProjectStrategic 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] ; Department of Research and Innovation, National University of Mongolia[P2017-2396] ; Construction Project of the China Knowledge Center for Engineering Sciences and Technology[CKCEST-2018-2-8] ; 13th Five-year Informatization Plan of Chinese Academy of Sciences[XXH13505-07]
Funding OrganizationStrategic Priority Research Program (Class A) of the Chinese Academy of Sciences ; Department of Research and Innovation, National University of Mongolia ; Construction Project of the China Knowledge Center for Engineering Sciences and Technology ; 13th Five-year Informatization Plan of Chinese Academy of Sciences
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000448555800114
PublisherMDPI
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52609
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Juanle
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255049, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
4.Natl Univ Mongolia, Sch Engn & Appl Sci, Ulaanbaatar City 14201, Mongol Peo Rep
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Natl Univ Mongolia, Dept Environm & Forest Engn, Ulaanbaatar City 210646, Mongol Peo Rep
7.Natl Univ Mongolia, Dept Geog, Ulaanbaatar City 14201, Mongol Peo Rep
Recommended Citation
GB/T 7714
Wei, Haishuo,Wang, Juanle,Cheng, Kai,et al. Desertification Information Extraction Based on Feature Space Combinations on the Mongolian Plateau[J]. REMOTE SENSING,2018,10(10):17.
APA Wei, Haishuo.,Wang, Juanle.,Cheng, Kai.,Li, Ge.,Ochir, Altansukh.,...&Chonokhuu, Sonomdagva.(2018).Desertification Information Extraction Based on Feature Space Combinations on the Mongolian Plateau.REMOTE SENSING,10(10),17.
MLA Wei, Haishuo,et al."Desertification Information Extraction Based on Feature Space Combinations on the Mongolian Plateau".REMOTE SENSING 10.10(2018):17.
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