干旱区生态环境知识资源中心(Arid): Optimal Scale Selection and an Object-Oriented Method Used for Measuring and Monitoring the Extent of Land Desertification

Arid

DOI	10.3390/su15075619
	Optimal Scale Selection and an Object-Oriented Method Used for Measuring and Monitoring the Extent of Land Desertification
	Han, Junliang; Han, Liusheng; Sun, Guangwei; Mu, Haoxiang; Zhang, Zhiyi; Wang, Xiangyu; Wang, Shengshuai
通讯作者	Han, LS
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2023
卷号	15 期号:7
英文摘要	Desertification has become a major problem in the field, affecting both the global ecological environment and economy. The effective monitoring of desertified land is an important prerequisite for land desertification protection and governance. With the aim of addressing the problems of spectral confusion as well as the salt and pepper phenomenon concerning the successful extraction of desertification information by utilizing the pixel-based method in the studies, Landsat remote sensing images obtained from the year 2001 to 2021 were selected in this study as the data source, and then, the object-oriented random forest classification method was improved by using different optimal segmentation scale selection techniques and combining multi-thematic index characteristics for measuring the extent of land desertification. Finally, the improved method was applied to study the dynamic changes in desertification in the Mu Us Sandy Land Ecological Function Reserve. The results show that the optimal scale determined by different optimal segmentation scale selection methods is not entirely consistent, and a minor scale should be selected as the optimal scale. Compared with the pixel-based classification method, the overall accuracy of object-oriented classification based on the optimal segmentation scale was improved by 8.06%, the Kappa coefficient increased by 0.1114, and the salt and pepper phenomenon was significantly reduced. From 2001 to 2021, the area of desertified land decreased by 587.12 km(2) and the area of severely desertified land decreased by 4115.92 km(2), indicating that the control effect was remarkable. This study can provide effective decision-making evidence and support for the successful governance of desertification.
英文关键词	desertification optimal segmentation scale object oriented random forest classification Mu Us Desert
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:001126438200001
WOS关键词	SEGMENTATION SCALE ; CHINA
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398780
推荐引用方式 GB/T 7714	Han, Junliang,Han, Liusheng,Sun, Guangwei,et al. Optimal Scale Selection and an Object-Oriented Method Used for Measuring and Monitoring the Extent of Land Desertification[J],2023,15(7).
APA	Han, Junliang.,Han, Liusheng.,Sun, Guangwei.,Mu, Haoxiang.,Zhang, Zhiyi.,...&Wang, Shengshuai.(2023).Optimal Scale Selection and an Object-Oriented Method Used for Measuring and Monitoring the Extent of Land Desertification.SUSTAINABILITY,15(7).
MLA	Han, Junliang,et al."Optimal Scale Selection and an Object-Oriented Method Used for Measuring and Monitoring the Extent of Land Desertification".SUSTAINABILITY 15.7(2023).