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Mapping annual land use changes in China's poverty-stricken areas from 2013 to 2018
Ge, Yong1; Hu, Shan1,2; Ren, Zhoupeng1; Jia, Yuanxin1,2; Wang, Jianghao1; Liu, Mengxiao1,2; Zhang, Die1,2; Zhao, Weiheng3; Luo, Yaowen4; Fu, Yangyang5; Bai, Hexiang6; Chen, Yuehong7
2019-10-01
Source PublicationREMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
Volume232Pages:13
Corresponding AuthorGe, Yong(gey@lreis.ac.cn)
AbstractChina aims to end absolute poverty by 2020. In pursuit of this goal, a series of poverty reduction policies and measures have been proposed. As a vital element of poverty reduction, land use in China's poverty-stricken areas also undergone great changes accordingly. However, the land use change patterns in these areas are not well understood. It's necessary to analyze the spatial-temporal land use change patterns to provide data that support poverty alleviation programs. In this study, we proposed a framework for mapping annual land use changes in China's poverty-stricken areas from 2013 to 2018. The Landsat 8 surface reflectance datasets from 2013 to 2018 (available on Google Earth Engine) were utilized to detect the changes in arable land, built-up land, water, vegetation, and un-used land. The land use transition matrix was computed to describe characteristics of the transition, and a Bayesian hierarchical model was employed to investigate the spatial-temporal land use change patterns. Our results demonstrated that the arable land continuously decreased over the study period, while built-up land and vegetation gradually expanded. The primary land use transition occurred between the arable land and vegetation. The local trends of each county indicated obvious regional differences of land use change. Moreover, significant differences existed between deep poverty-stricken counties and normal poverty-stricken counties on arable land and built-up land change, indicating that more intense human construction activities in normal poverty-stricken areas. The annual land use mapping results generated for poverty-stricken areas, along with further analysis of overall temporal change and local change trends, could provide a better understanding of land use changes and regional differences in China's poverty-stricken areas and promote the poverty reduction and sustainable development in those areas.
KeywordGoogle earth engine Poverty-stricken areas Annual land use changes
DOI10.1016/j.rse.2019.111285
WOS KeywordSPACE-TIME VARIABILITY ; NIGHTTIME LIGHTS ; ALLEVIATION ; SERIES ; COVER ; CLASSIFICATION ; DYNAMICS ; IMAGES ; INDEX ; PATTERNS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation for Distinguished Young Scholars of China[41725006] ; National Key Research and Development Program[2017YFB0503501] ; Joint Research Fund for Overseas Chinese Scholars and Scholars in Hong Kong and Macao Young Scholars[41828102]
Funding OrganizationNational Natural Science Foundation for Distinguished Young Scholars of China ; National Key Research and Development Program ; Joint Research Fund for Overseas Chinese Scholars and Scholars in Hong Kong and Macao Young Scholars
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000486355300012
PublisherELSEVIER SCIENCE INC
Citation statistics
Cited Times:18[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/129806
Collection中国科学院地理科学与资源研究所
Corresponding AuthorGe, Yong
Affiliation1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Changan Univ, Sch Earth Sci & Resources, Xian 710054, Shaanxi, Peoples R China
4.Shandong Univ Sci & Technol, Sch Geomat, Qingdao 266590, Shandong, Peoples R China
5.Cent China Normal Univ, Sch Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China
6.Shanxi Univ, Sch Comp & Informat Technol, Taiyuan 030006, Shanxi, Peoples R China
7.Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Ge, Yong,Hu, Shan,Ren, Zhoupeng,et al. Mapping annual land use changes in China's poverty-stricken areas from 2013 to 2018[J]. REMOTE SENSING OF ENVIRONMENT,2019,232:13.
APA Ge, Yong.,Hu, Shan.,Ren, Zhoupeng.,Jia, Yuanxin.,Wang, Jianghao.,...&Chen, Yuehong.(2019).Mapping annual land use changes in China's poverty-stricken areas from 2013 to 2018.REMOTE SENSING OF ENVIRONMENT,232,13.
MLA Ge, Yong,et al."Mapping annual land use changes in China's poverty-stricken areas from 2013 to 2018".REMOTE SENSING OF ENVIRONMENT 232(2019):13.
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