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Land Degradation Monitoring in the Ordos Plateau of China Using an Expert Knowledge and BP-ANN-Based Approach
Yue, Yaojie1,2; Li, Min1; Zhu, A-xing3,4,5; Ye, Xinyue6; Mao, Rui2; Wan, Jinhong7; Dong, Jin8
2016-11-01
Source PublicationSUSTAINABILITY
ISSN2071-1050
Volume8Issue:11Pages:21
Corresponding AuthorYue, Yaojie(yjyue@bnu.edu.cn)
AbstractLand degradation monitoring is of vital importance to provide scientific information for promoting sustainable land utilization. This paper presents an expert knowledge and BP-ANN-based approach to detect and monitor land degradation in an effort to overcome the deficiencies of image classification and vegetation index-based approaches. The proposed approach consists of three generic steps: (1) extraction of knowledge on the relationship between land degradation degree and predisposing factors, which are NDVI and albedo, from domain experts; (2) establishment of a land degradation detecting model based on the BP-ANN algorithm; and (3) land degradation dynamic analysis. A comprehensive analysis was conducted on the development of land degradation in the Ordos Plateau of China in 1990, 2000 and 2010. The results indicate that the proposed approach is reliable for monitoring land degradation, with an overall accuracy of 91.2%. From 1990-2010, a reverse trend of land degradation is observed in Ordos Plateau. Regions with relatively high land degradation dynamic were mostly located in the northeast of Ordos Plateau. Additionally, most of the regions have transferred from a hot spot of land degradation to a less changed area. It is suggested that land utilization optimization plays a key role for effective land degradation control. However, it should be highlighted that the goals of such strategies should aim at the main negative factors causing land degradation, and the land use type and its quantity must meet the demand of population and be reconciled with natural conditions. Results from this case study suggest that the expert knowledge and BP-ANN-based approach is effective in mapping land degradation.
Keywordland degradation TM image visual interpretation NDVI albedo BP-ANN Ordos Plateau
DOI10.3390/su8111174
WOS KeywordREMOTE-SENSING DATA ; HORQIN-SANDY-LAND ; NORTHWEST CHINA ; SEMIARID CHINA ; NORTHERN CHINA ; COVER CHANGES ; SOUTH-AFRICA ; DESERTIFICATION ; VEGETATION ; PROVINCE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41271286] ; National Key Research and Development Program of China[2016YFA0602402] ; Natural Science Research Program of Jiangsu[14KJA170001] ; Program of International S&T Cooperation, Ministry of Science and Technology of China[2010DFB24140] ; University of Wisconsin-Madison ; One-Thousand Talents Program of China
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Program of China ; Natural Science Research Program of Jiangsu ; Program of International S&T Cooperation, Ministry of Science and Technology of China ; University of Wisconsin-Madison ; One-Thousand Talents Program of China
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences ; Environmental Studies
WOS IDWOS:000389316200094
PublisherMDPI AG
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/65469
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYue, Yaojie
Affiliation1.Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China
2.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
3.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA
4.Nanjing Normal Univ, Sch Geog, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
6.Kent State Univ, Dept Geog, Kent, OH 44240 USA
7.China Inst Water Resources & Hydropower Res, Beijing 100048, Peoples R China
8.Bur Land & Resources, Feicheng 271600, Peoples R China
Recommended Citation
GB/T 7714
Yue, Yaojie,Li, Min,Zhu, A-xing,et al. Land Degradation Monitoring in the Ordos Plateau of China Using an Expert Knowledge and BP-ANN-Based Approach[J]. SUSTAINABILITY,2016,8(11):21.
APA Yue, Yaojie.,Li, Min.,Zhu, A-xing.,Ye, Xinyue.,Mao, Rui.,...&Dong, Jin.(2016).Land Degradation Monitoring in the Ordos Plateau of China Using an Expert Knowledge and BP-ANN-Based Approach.SUSTAINABILITY,8(11),21.
MLA Yue, Yaojie,et al."Land Degradation Monitoring in the Ordos Plateau of China Using an Expert Knowledge and BP-ANN-Based Approach".SUSTAINABILITY 8.11(2016):21.
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