中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A novel large-scale land degradation remote sensing index and its application in Three River Source Region

文献类型:期刊论文

作者Wen, Ye8,9; Wang, Qiubing8; Guo, Bing3,4,5,6,7,10; Meng, Chao5; Cai, Yumei5; Xue, Haorun2; Zhao, Huihui1; Zang, Wenqian1; Wei, Cuixia10; Yu, Yang10
刊名EARTH SCIENCE INFORMATICS
出版日期2022-01-18
页码17
ISSN号1865-0473
关键词Land degradation intensity Dynamic weight determining Comprehensive index Greenness index MODIS
DOI10.1007/s12145-021-00724-0
通讯作者Wang, Qiubing(wangqbs@yahoo.com) ; Guo, Bing(guobingj1@163.com)
英文摘要Under the multiple stresses of global warming and human activities, land degradation in the Three River Source Region is becoming increasingly severe. However, the researches on large-scale land degradation monitoring models based on remote sensing are fewer and not yet mature. In this study, based on MODIS data products, five factors, including surface albedo, greenness index, heat index, topsoil grain size index, and salinity index, are introduced. These five factors are used to propose a novel large-scale land degradation remote sensing index based on the dynamic weighting method in Three River Source Region. Then the spatio-temporal evolution and driving mechanism of land degradation in the past 20 years are analyzed. The results showed that: (1) The land degradation remote sensing index model proposed in this study has good applicability, and its monitoring accuracy is 92.1%. (2) The average intensity of land degradation in the past 20 years in the Three River Source Region is 0.34, which generally belonged to the mild and moderate degradation. The Yangtze River Source Region has the most significant intensity of land degradation. (3) The gravity center of land degradation in the Three River Source Region during 2001-2020 generally shows a trend of eastward migration. (4) From 2001 to 2020, the change of land degradation intensity in the Three River Source Region was small, showing a trend of overall stability and a slight partial improvement. (5) The impacts of temperature, precipitation, and GDP density on land degradation are significantly different. From 2001 to 2020, the soil was the dominant factor determining land degradation, while the correlation between temperature and land degradation intensity in the study area was small. The results can provide relevant theoretical and technical support for land degradation management and ecological environment restoration in the Three River Source Region.
WOS关键词QINGHAI-TIBET PLATEAU ; CLIMATE-CHANGE ; CHINA
资助项目National Natural Science Foundation of China[42101306] ; Natural Science Foundation of Shandong Province[ZR2021BD052] ; Open Research Fund of the Key Laboratory of Digital Earth Science, Chinese Academy of Sciences[2019LDE006] ; State Key Laboratory of Resources and Environmental Information System ; Open Fund of Key Laboratory of Meteorology and Ecological Environment of Hebei Province[Z202001H] ; Open fund of Key Laboratory of National Geographic Census and Monitoring, MNR[2020NGCM02] ; 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 Land use, Ministry of Natural Resources[20201511835] ; Undergraduate teaching research and reform project of Shandong University of Technology[4003/121182] ; Project of Graduate Education Quality Improvement Plan and Innovation Plan[4053/221039]
WOS研究方向Computer Science ; Geology
语种英语
出版者SPRINGER HEIDELBERG
WOS记录号WOS:000744921200001
资助机构National Natural Science Foundation of China ; Natural Science Foundation of Shandong Province ; Open Research Fund of the Key Laboratory of Digital Earth Science, Chinese Academy of Sciences ; State Key Laboratory of Resources and Environmental Information System ; Open Fund of Key Laboratory of Meteorology and Ecological Environment of Hebei Province ; Open fund of Key Laboratory of National Geographic Census and Monitoring, MNR ; Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources ; Open fund of Key Laboratory of Land use, Ministry of Natural Resources ; Undergraduate teaching research and reform project of Shandong University of Technology ; Project of Graduate Education Quality Improvement Plan and Innovation Plan
源URL[http://ir.igsnrr.ac.cn/handle/311030/169913]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Qiubing; Guo, Bing
作者单位1.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
2.Beijing Univ Posts & Telecommun, Int Sch, Beijing 100876, Peoples R China
3.Minist Nat Resources, Key Lab Natl Geog Census & Monitoring, Wuhan 430072, Peoples R China
4.Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518000, Peoples R China
5.Minist Nat Resources, Key Lab Land Use, China Land Survey & Planning Inst, Beijing 100035, Peoples R China
6.Key Lab Meteorol & Ecol Environm Hebei Prov, Shijiazhuang 050021, Hebei, Peoples R China
7.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
8.Shenyang Agr Univ, Coll Land & Environm, Shenyang 110866, Liaoning, Peoples R China
9.Dalian Univ Technol, Sch Architectural Engn, City Inst, Dalian 116600, Liaoning, Peoples R China
10.Shandong Univ Technol, Sch Civil Architectural Engn, Zibo 255000, Shandong, Peoples R China
推荐引用方式
GB/T 7714
Wen, Ye,Wang, Qiubing,Guo, Bing,et al. A novel large-scale land degradation remote sensing index and its application in Three River Source Region[J]. EARTH SCIENCE INFORMATICS,2022:17.
APA Wen, Ye.,Wang, Qiubing.,Guo, Bing.,Meng, Chao.,Cai, Yumei.,...&Li, Jialin.(2022).A novel large-scale land degradation remote sensing index and its application in Three River Source Region.EARTH SCIENCE INFORMATICS,17.
MLA Wen, Ye,et al."A novel large-scale land degradation remote sensing index and its application in Three River Source Region".EARTH SCIENCE INFORMATICS (2022):17.

入库方式: OAI收割

来源:地理科学与资源研究所

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