干旱区生态环境知识资源中心(Arid): Monitoring desertification in Mongolia based on Landsat images and Google Earth Engine from 1990 to 2020

Arid

DOI	10.1016/j.ecolind.2021.107908
	Monitoring desertification in Mongolia based on Landsat images and Google Earth Engine from 1990 to 2020
	Meng, Xiaoyu; Gao, Xin; Li, Sen; Li, Shengyu; Lei, Jiaqiang
通讯作者	Gao, X (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, 818 South Beijing Rd, Urumqi 830011, Xinjiang, Peoples R China.
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2021
卷号	129
英文摘要	Desertification is one of the most serious ecological and environmental problems in arid regions. Low-cost, wideranging, and high-precision methods are essential for the formulation of appropriate strategies for quantitatively monitoring desertification. In this study, based on Google Earth Engine and Landsat images, six machine learning methods were used to monitor desertification dynamics in 1990-2020 in Mongolia. The spatiotemporal distributions and changes in desertification at different stages were analyzed using gravity center change and intensity analysis models. Subsequently, we quantitatively investigated the factors driving desertification in Mongolia. The results indicate that the maximum entropy method can obtain the most accurate assessment of the degree of desertification in comparison with the other five methods, with an accuracy of 96%. In 1990-2005, the area of desertified land increased significantly, afterward, a decreasing trend was observed. Lightly and moderately desertified lands had the highest change intensities and were most sensitive to environmental factors. Although the desertification dynamics are under the influence of both natural and anthropogenic factors, precipitation plays a dominant role in Mongolia. This study provides a comprehensive analysis of the desertification status and trends in Mongolia, and presents desertification maps that can be used to formulate preventive measures and guide desertification prevention and control.
英文关键词	GEE Machine learning methods Desertification dynamics Gravity center change Intensity analysis Desertification maps Mongolia
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:000685516500004
WOS关键词	HORQIN SANDY LAND ; AEOLIAN DESERTIFICATION ; RANDOM FOREST ; NORTHERN SHAANXI ; MODIS ; CLASSIFICATION ; DYNAMICS ; AREAS ; DEGRADATION ; ALGORITHM
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362980
作者单位	[Meng, Xiaoyu; Gao, Xin; Li, Shengyu; Lei, Jiaqiang] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, 818 South Beijing Rd, Urumqi 830011, Xinjiang, Peoples R China; [Meng, Xiaoyu; Gao, Xin; Li, Shengyu; Lei, Jiaqiang] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Li, Sen] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, 260 West Donggang Rd, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Meng, Xiaoyu,Gao, Xin,Li, Sen,et al. Monitoring desertification in Mongolia based on Landsat images and Google Earth Engine from 1990 to 2020[J]. 中国科学院新疆生态与地理研究所,2021,129.
APA	Meng, Xiaoyu,Gao, Xin,Li, Sen,Li, Shengyu,&Lei, Jiaqiang.(2021).Monitoring desertification in Mongolia based on Landsat images and Google Earth Engine from 1990 to 2020.ECOLOGICAL INDICATORS,129.
MLA	Meng, Xiaoyu,et al."Monitoring desertification in Mongolia based on Landsat images and Google Earth Engine from 1990 to 2020".ECOLOGICAL INDICATORS 129(2021).