干旱区生态环境知识资源中心(Arid): A Study of Sandy Land Changes in the Chifeng Region from 1990 to 2020 Based on Dynamic Convolution

Arid

DOI	10.3390/su151712931
	A Study of Sandy Land Changes in the Chifeng Region from 1990 to 2020 Based on Dynamic Convolution
	Zhu, Hongbo; Zhang, Bing; Chang, Xinyue; Song, Weidong; Dai, Jiguang; Li, Jia
通讯作者	Zhang, B
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2023
卷号	15 期号:17
英文摘要	Desertification is the process of land degradation and the reduction or destruction of biological potential in arid, semi-arid, and semi-humid areas, and its impact on agricultural development and the ecological environment cannot be ignored. Therefore, many researchers have aimed to achieve the acquisition of large-scale sandy land areas using sandy land extraction algorithms based on remote sensing images. However, the sandy land extraction accuracy needs to be improved because of the variable contour features in the remote sensing images and the easy confusion with targets such as the Gobi and bare ground areas. In this study, we combine the dynamic convolution with a U-Net model and propose the DU-Net sandy land extraction model. The method is based on dynamic convolution, which can adaptively learn the complex features of the target and build a dynamic convolutional neural network to achieve high-accuracy extraction of complex targets. DU-Net achieved 86.32% in IoU, 93.22% in precision, 94.5% in recall, and 92.66% in F1-score in sandy land extraction accuracy, which are 4.68%, 2.33%, 3.09%, and 2.76% improvements, respectively, compared with the U-Net static neural network. Based on this, we obtained the spatial and temporal evolution trends of sandy land areas based on Landsat images in the Chifeng region in the Inner Mongolia Autonomous Region, China. Meanwhile, in order to investigate the mechanism of spatial and temporal changes in the sandy land area in the study region over the past 30 years, the direct and indirect effects of seven climatic and human socioeconomic activity factors on the changes in the sandy land area in the study region were evaluated based on a structural equation model. The results show that the sandy area in the Chifeng region tended to first increase and then decrease over the study period, with the sandy land area reaching its maximum around the year 2000. In addition, the main driving factor for the change in the sandy land area in the Chifeng region has been human socioeconomic activities, with climatic conditions as the secondary driving factor. The method proposed in this paper realizes the rapid extraction of sandy land areas with high accuracy at a large scale and with a long time series and provides a basis for assessing the effectiveness of ecosystem restoration projects.
英文关键词	dynamic convolution changes in sandy land area structural equation model driving force analysis U-Net
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:001060640700001
WOS关键词	DESERT
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/2XILL650/398833
推荐引用方式 GB/T 7714	Zhu, Hongbo,Zhang, Bing,Chang, Xinyue,et al. A Study of Sandy Land Changes in the Chifeng Region from 1990 to 2020 Based on Dynamic Convolution[J],2023,15(17).
APA	Zhu, Hongbo,Zhang, Bing,Chang, Xinyue,Song, Weidong,Dai, Jiguang,&Li, Jia.(2023).A Study of Sandy Land Changes in the Chifeng Region from 1990 to 2020 Based on Dynamic Convolution.SUSTAINABILITY,15(17).
MLA	Zhu, Hongbo,et al."A Study of Sandy Land Changes in the Chifeng Region from 1990 to 2020 Based on Dynamic Convolution".SUSTAINABILITY 15.17(2023).