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A novel-optimal monitoring model of rocky desertification based on feature space models with typical surface parameters derived from LANDSAT_8 OLI

文献类型：期刊论文

作者Guo, Bing1,2,3,4,5,6,7,8; Zhang, Dafu6; Lu, Yuefeng6,7; Yang, Fei7; Meng, Chao3; Han, Baomin6; Zang, Wenqian5; Zhao, Huihui5; Wei, Cuixia6; Wu, Hongwei6
刊名LAND DEGRADATION & DEVELOPMENT
出版日期2021-09-19
页码14
关键词dryness index feature space LANDSAT-8 OLI rock bare index rocky desertification
ISSN号1085-3278
DOI10.1002/ldr.4088
通讯作者Zhang, Dafu(1621113717@qq.com) ; Lu, Yuefeng(807423198@qq.com)
英文摘要Previous studies monitoring the spatial distribution of rocky desertification have used single indices, a comprehensive index, or image classification. However, these approaches could not distinguish between the degrees of rocky desertification as they did not consider various influencing factors and their interactions. To avoid the above shortcomings, this study used the feature space model and seven typical land surface parameters to establish two categories of rocky desertification model: (1) a point-to-point model; and (2) a point-to-line model. A novel model for the optimal monitoring of rocky desertification was then proposed, which could take the comprehensive impacts of the human-nature system on the process of rocky desertification. The results showed that: (1) the feature space models provided a novel approach to large-scale monitoring of rocky desertification; (2) the point-to-line model incorporating the rock bare index (RBI)-dryness index feature space showed the optimal applicability for monitoring of rocky desertification, with a precision of 93.4%; and (3) the RBI performed the best in indicating the process of rocky desertification, with an average precision of 88.5%. The results of this study can act as a reference within the investigation of the spatiotemporal evolution of rocky desertification for karst mountain areas.
WOS关键词KARST ; EVOLUTION ; CHINA ; INFORMATION ; MOUNTAIN
资助项目Higher Education Research Project of Shandong University of Technology[2020GJY05] ; University-Industry Collaborative Education Program[202002327007] ; University-Industry Collaborative Education Program[202002211004] ; University-Industry Collaborative Education Program[201902208005] ; Open fund of Key Laboratory of Land Use, Ministry of Natural Resources[20201511835] ; Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources[KF-2020-05-001] ; Open fund of Key Laboratory of National Geographic Census and Monitoring, MNR[2020NGCM02] ; Open Fund of Key Laboratory of Meteorology and Ecological Environment of Hebei Province[Z202001H] ; State Key Laboratory of Resources and Environmental Information System ; Open Research Fund of the Key Laboratory of Digital Earth Science, Chinese Academy of Sciences[2019LDE006] ; National Natural Science Foundation of China[42101306]
WOS研究方向Environmental Sciences & Ecology ; Agriculture
语种英语
WOS记录号WOS:000697909200001
出版者WILEY
资助机构Higher Education Research Project of Shandong University of Technology ; University-Industry Collaborative Education Program ; Open fund of Key Laboratory of Land Use, Ministry of Natural Resources ; Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources ; Open fund of Key Laboratory of National Geographic Census and Monitoring, MNR ; Open Fund of Key Laboratory of Meteorology and Ecological Environment of Hebei Province ; State Key Laboratory of Resources and Environmental Information System ; Open Research Fund of the Key Laboratory of Digital Earth Science, Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/165651]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Dafu; Lu, Yuefeng
作者单位1.Minist Nat Resources, Key Lab Natl Geog Census & Monitoring, Wuhan, Peoples R China
2.Minist Nat Resources, Key Lab Land Use, China Land Survey & Planning Inst, Beijing, Peoples R China
3.Inst Meteorol Sci, Key Lab Meteorol & Ecol Environm Hebei Prov, Shijiazhuang, Hebei, Peoples R China
4.Chinese Acad Sci, Key Lab Digital Earth Sci, Beijing, Peoples R China
5.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China
6.Shandong Univ Technol, Sch Civil Architectural Engn, Zibo 255000, Shandong, Peoples R China
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
8.Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen, Peoples R China
推荐引用方式
GB/T 7714		 Guo, Bing,Zhang, Dafu,Lu, Yuefeng,et al. A novel-optimal monitoring model of rocky desertification based on feature space models with typical surface parameters derived from LANDSAT_8 OLI[J]. LAND DEGRADATION & DEVELOPMENT,2021:14.
APA Guo, Bing.,Zhang, Dafu.,Lu, Yuefeng.,Yang, Fei.,Meng, Chao.,...&Hou, Chunhong.(2021).A novel-optimal monitoring model of rocky desertification based on feature space models with typical surface parameters derived from LANDSAT_8 OLI.LAND DEGRADATION & DEVELOPMENT,14.
MLA Guo, Bing,et al."A novel-optimal monitoring model of rocky desertification based on feature space models with typical surface parameters derived from LANDSAT_8 OLI".LAND DEGRADATION & DEVELOPMENT (2021):14.

入库方式： OAI收割

来源：地理科学与资源研究所

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