IGSNRR OpenIR
Land Cover Changes and Their Driving Mechanisms in Central Asia from 2001 to 2017 Supported by Google Earth Engine
Hu, Yunfeng1,2; Hu, Yang1,2
2019-03-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume11Issue:5Pages:21
Corresponding AuthorHu, Yunfeng(huyf@lreis.ac.cn)
AbstractLimited research has been published on land changes and their driving mechanisms in Central Asia, but this area is an important ecologically sensitive area. Supported by Google Earth Engine (GEE), this study used Landsat satellite imagery and selected the random forest algorithm to perform land classification and obtain the annual land cover datasets of Central Asia from 2001 to 2017. Based on the temporal datasets, the distributions and dynamic trends of land cover were summarized, and the key factors driving land changes were analyzed. The results show that (1) the obtained land datasets are reliable and highly accurate, with an overall accuracy of 0.90 +/- 0.01. (2) Grassland and bareland are the two most prominent land cover types, with area proportions of 45.0% and 32.9% in 2017, respectively. Over the past 17 years, bareland has displayed an overall reduction, decreasing by 2.6% overall. Natural vegetation (grassland, forest, and shrubland), cultivated land, water bodies and wetlands have displayed increasing trends at different rates. (3) The amount of precipitation and degree of drought are the driving factors that affect natural vegetation. The changes in cultivated land are mainly affected by precipitation and anthropogenic drivers. The effects of increasing urban populations and expanding industrial development are the factors driving the expansion of urban regions. The advantages and uncertainties arising from the land mapping and change detection method and the complexity of the driving mechanisms are also discussed.
Keywordland change driving mechanism Central Asia spatiotemporal analysis GEE
DOI10.3390/rs11050554
WOS KeywordCLASSIFICATION
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of Chinese Academy of Sciences[XDA20010202] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA19040301] ; National Key Research and Development Plan Program in China[2016YFC0503701] ; National Key Research and Development Plan Program in China[2016YFB0501502] ; Key Project of the High Resolution Earth Observation System in China[00-Y30B14-9001-14/16]
Funding OrganizationStrategic Priority Research Program of Chinese Academy of Sciences ; National Key Research and Development Plan Program in China ; Key Project of the High Resolution Earth Observation System in China
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000462544500082
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/48636
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHu, Yunfeng
Affiliation1.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, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Hu, Yunfeng,Hu, Yang. Land Cover Changes and Their Driving Mechanisms in Central Asia from 2001 to 2017 Supported by Google Earth Engine[J]. REMOTE SENSING,2019,11(5):21.
APA Hu, Yunfeng,&Hu, Yang.(2019).Land Cover Changes and Their Driving Mechanisms in Central Asia from 2001 to 2017 Supported by Google Earth Engine.REMOTE SENSING,11(5),21.
MLA Hu, Yunfeng,et al."Land Cover Changes and Their Driving Mechanisms in Central Asia from 2001 to 2017 Supported by Google Earth Engine".REMOTE SENSING 11.5(2019):21.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Hu, Yunfeng]'s Articles
[Hu, Yang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Hu, Yunfeng]'s Articles
[Hu, Yang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Hu, Yunfeng]'s Articles
[Hu, Yang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.