干旱区生态环境知识资源中心(Arid): A Study on Spatial and Temporal Dynamic Changes of Desertification in Northern China from 2000 to 2020

Arid

DOI	10.3390/rs15051368
	A Study on Spatial and Temporal Dynamic Changes of Desertification in Northern China from 2000 to 2020
	Jiang, Zhaolin; Ni, Xiliang; Xing, Minfeng
通讯作者	Ni, XL
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:5
英文摘要	Desertification is of significant concern as one of the world's most serious ecological and environmental problems. China has made great achievements in afforestation and desertification control in recent years. The climate varies greatly across northern China. Using a long-time series of remote sensing data to study the effects of desertification will further the understanding of China's desertification control engineering and climate change mechanisms. The moist index was employed in this research to determine the climate type and delineate the potential occurrence range of desertification in China. Then, based on the Google Earth Engine platform, MODIS data were used to construct various desertification monitoring indicators and applied to four machine learning models. By comparing different combinations of indicators and machine learning models, it was concluded that the random forest model with four indicator combinations had the highest accuracy of 86.94% and a Kappa coefficient of 0.84. Therefore, the random forest model with four indicator combinations was used to monitor desertification in the study area from 2000 to 2020. According to our studies, the area of desertification decreased by more than 237,844 km(2) between 2000 and 2020 due to the impact of human activities and in addition to climatic factors such as the important role of precipitation. This research gives a database for the cause and control of desertification as well as a reference for national-scale desertification monitoring.
英文关键词	climate divisions desertification Google Earth Engine machine learning
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:000947580200001
WOS关键词	BIG DATA APPLICATIONS ; GOOGLE EARTH ENGINE ; HORQIN SANDY LAND ; POTENTIAL EVAPOTRANSPIRATION ; MONITORING DESERTIFICATION ; CLASSIFICATION ; VEGETATION ; MANAGEMENT ; RESPONSES ; CLIMATE
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/2XILL650/398246
推荐引用方式 GB/T 7714	Jiang, Zhaolin,Ni, Xiliang,Xing, Minfeng. A Study on Spatial and Temporal Dynamic Changes of Desertification in Northern China from 2000 to 2020[J],2023,15(5).
APA	Jiang, Zhaolin,Ni, Xiliang,&Xing, Minfeng.(2023).A Study on Spatial and Temporal Dynamic Changes of Desertification in Northern China from 2000 to 2020.REMOTE SENSING,15(5).
MLA	Jiang, Zhaolin,et al."A Study on Spatial and Temporal Dynamic Changes of Desertification in Northern China from 2000 to 2020".REMOTE SENSING 15.5(2023).