中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs

文献类型:期刊论文

作者Yin, He; Pflugmacher, Dirk; Li, Ang4; Li, Zhengguo3; Hostert, Patrick1
刊名REMOTE SENSING OF ENVIRONMENT
出版日期2018
卷号204页码:918-930
关键词Land use and land cover change Deforestation Afforestation Cropland retirement MODIS time series Trajectory-based approach Inner Mongolia Machine learning Random forest Probability scores
ISSN号0034-4257
DOI10.1016/j.rse.2017.08.030
文献子类Article
英文摘要During the past decades, overuse of land resources has increasingly contributed to environmental crises in China. To mitigate wide-spread land degradation, actions have been taken to maintain and restore ecologically valuable landscapes such as natural forests. However, the effects of the various vegetation protection policies that have been implemented in China since the late 1990's still remain largely unknown. In this paper, we therefore focus on mapping land use and land cover change (LULCC) in Inner Mongolia, one of the key regions targeted by Chinese ecological restoration programs. We used 250-m MODIS time series and a random forest classification approach to generate annual probabilities for each land cover class between 2000 and 2014. We then applied a trajectory-based change detection approach based on a modified version of the Landsat-based detection of trends in disturbance and recovery (LandTrendr) algorithm to the probability time series and mapped land cover change trajectories. We found that our trajectory-based approach achieved high accuracies (overall accuracy 0.95 +/- 0.02). It provides spatial-temporal land change maps that allow a land-use related interpretation of change patterns. Our change maps show that i) forest loss decreased rapidly after 2000 (from 15,717 1770 ha in 2001 to 1313 165 ha in 2014) and forth gain (190,645 28,352 ha during 2001-2014) occurred in the ecological program zones, leading to a net forest increase in Inner Mongolia, and ii) cropland retirement (212,979 54,939 ha during 2001-2014) mostly occurred at the early stage of ecological programs and mainly concentrated in drier environments and steep terrain. Overall, land cover mapping and trajectory-based land use analyses allowed a consistent characterization of LULCC over large areas, which is crucial for gaining a better understanding of environmental changes in the light of rapidly changing environmental policies and governance regimes in China.
学科主题Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
出版地NEW YORK
电子版国际标准刊号1879-0704
WOS关键词TIME-SERIES ; FOREST COVER ; TEMPORAL PATTERNS ; CLASSIFICATION ; AFFORESTATION ; DISTURBANCE ; DYNAMICS ; DEFORESTATION ; ACCURACY ; PROJECTS
语种英语
WOS记录号WOS:000418464400067
出版者ELSEVIER SCIENCE INC
资助机构China Scholarship Council (CSC)China Scholarship Council [2009601084] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41671180, 41501483]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/20416]  
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Agr Sci, Inst Agr Resource & Reg Planning, Minist Agr, Key Lab Agriinformat, Beijing 100081, Peoples R China
2.Humboldt Univ, IRI THESys, Unter Linden 6, D-10099 Berlin, Germany
3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
4.Humboldt Univ, Geog Dept, Unter Linden 6, D-10099 Berlin, Germany
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GB/T 7714
Yin, He,Pflugmacher, Dirk,Li, Ang,et al. Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs[J]. REMOTE SENSING OF ENVIRONMENT,2018,204:918-930.
APA Yin, He,Pflugmacher, Dirk,Li, Ang,Li, Zhengguo,&Hostert, Patrick.(2018).Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs.REMOTE SENSING OF ENVIRONMENT,204,918-930.
MLA Yin, He,et al."Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs".REMOTE SENSING OF ENVIRONMENT 204(2018):918-930.

入库方式: OAI收割

来源:植物研究所

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