Arid
DOI10.3390/rs14040837
Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China
Li, Jie; Wu, Weicheng; Fu, Xiao; Jiang, Jingheng; Liu, Yixuan; Zhang, Ming; Zhou, Xiaoting; Ke, Xinxin; He, Yecheng; Li, Wenjing; Zhou, Cuimin; Li, Yuan; Song, Yifei; Yang, Hongli; Tu, Qihong
通讯作者Wu, WC
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2022
卷号14期号:4
英文摘要The first successful sand-control was achieved in the Mu Us Desert by local people in the 1950-1960s, and their experience and approach have been extended to the whole Ordos and Northern China since then. The objective of this paper is to assess comprehensively the effectiveness of sand-control in 15 counties in and around Mu Us using multitemporal satellite images and socioeconomic data. After atmospheric correction, Landsat TM and OLI images were harnessed for land cover classification based on the ground-truth data and for derivation of the GDVI (generalized difference vegetation index) to extract the biophysical changes of the managed desert and desertification. Climatic, socioeconomic, environmental and spatial factors were selected for coupling analysis by multiple linear and logistic regression models to reveal the driving forces of desertification and their spatial determinants. The results show that from 1991 to 2020, 8712 km(2) or 63% of the desert has been converted into pastures and shrublands with a greenness increase of 0.3509 in GDVI; the effectiveness of sand-control is favored by the rational agropastoral activities and policies; though desertification occurs locally, it is associated with both climatic and socioeconomic factors, such as wind speed, precipitation, water availability, distance to roads and animal husbandry.
英文关键词post-classification differencing generalized difference vegetation index (GDVI) multiple linear regression logistic regression
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000765175200001
WOS关键词LAND DEGRADATION ; TM
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/394116
推荐引用方式
GB/T 7714
Li, Jie,Wu, Weicheng,Fu, Xiao,et al. Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China[J],2022,14(4).
APA Li, Jie.,Wu, Weicheng.,Fu, Xiao.,Jiang, Jingheng.,Liu, Yixuan.,...&Tu, Qihong.(2022).Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China.REMOTE SENSING,14(4).
MLA Li, Jie,et al."Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China".REMOTE SENSING 14.4(2022).
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