Explicitly Identifying the Desertification Change in CMREC Area Based on Multisource Remote Data

doi:10.3390/rs12193170

	Explicitly Identifying the Desertification Change in CMREC Area Based on Multisource Remote Data
	Fan, Zemeng 1,2,3; Li, Saibo 1,2; Fang, Haiyan 1,2,4
刊名	REMOTE SENSING
	2020-10-01
卷号	12 期号:19 页码:19
关键词	change pattern of desertification spatial-temporal analysis climate change human activities Google Earth Engine
DOI	10.3390/rs12193170
通讯作者	Fan, Zemeng(fanzm@lreis.ac.cn)
英文摘要	Explicitly identifying the desertification changes and causes has been a hot issue of eco-environment sustainable development in the China-Mongolia-Russia Economic Corridor (CMREC) area. In this paper, the desertification change patterns between 2000 and 2015 were identified by operating the classification and regression tree (CART) method with multisource remote sensing datasets on Google Earth Engine (GEE), which has the higher overall accuracy (85%) than three other methods, namely support vector machine (SVM), random forest (RF) and Albedo-normalized difference vegetation index (NDVI) models. A contribution index of climate change and human activities on desertification was introduced to quantitatively explicate the driving mechanisms of desertification change based on the temporal datasets and net primary productivity (NPP). The results show that the area of slight desertification land had increased from 719,700 km(2) to 948,000 km(2) between 2000 and 2015. The area of severe desertification land decreased from 82,400 km(2) to 71,200 km(2). The area of desertification increased by 9.68%, in which 69.68% was mainly caused by human activities. Climate change and human activities accounted for 68.8% and 27.36%, respectively, in the area of desertification restoration. In general, the degree of desertification showed a decreasing trend, and climate change was the major driving factor in the CMREC area between 2000 and 2015.
资助项目	Strategic Priority Research Program (A) of the Chinese Academy of Sciences[XDA20030203] ; National Key R&D Program of China[2017YFA0603702] ; National Key R&D Program of China[2018YFC0507202] ; National Natural Science Foundation[41971358] ; National Natural Science Foundation[41930647] ; National Natural Science Foundation[41977066] ; Innovation Project of the State Key Laboratory of Resources and Environmental Information Systems[O88RA600YA]
WOS关键词	NET PRIMARY PRODUCTIVITY ; LAND DEGRADATION ; CLIMATE-CHANGE ; AEOLIAN DESERTIFICATION ; QUANTITATIVE ASSESSMENT ; HUMAN APPROPRIATION ; DRIVING FORCES ; RELATIVE ROLES ; NORTH CHINA ; VEGETATION
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000586535400001
资助机构	Strategic Priority Research Program (A) of the Chinese Academy of Sciences ; National Key R&D Program of China ; National Natural Science Foundation ; Innovation Project of the State Key Laboratory of Resources and Environmental Information Systems
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/156647]
专题	中国科学院地理科学与资源研究所
通讯作者	Fan, Zemeng
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 4.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Fan, Zemeng,Li, Saibo,Fang, Haiyan. Explicitly Identifying the Desertification Change in CMREC Area Based on Multisource Remote Data[J]. REMOTE SENSING,2020,12(19):19.
APA	Fan, Zemeng,Li, Saibo,&Fang, Haiyan.(2020).Explicitly Identifying the Desertification Change in CMREC Area Based on Multisource Remote Data.REMOTE SENSING,12(19),19.
MLA	Fan, Zemeng,et al."Explicitly Identifying the Desertification Change in CMREC Area Based on Multisource Remote Data".REMOTE SENSING 12.19(2020):19.