干旱区生态环境知识资源中心(Arid): Mapping center pivot irrigation systems in global arid regions using instance segmentation and analyzing their spatial relationship with freshwater resources

Arid

DOI	10.1016/j.rse.2023.113760
	Mapping center pivot irrigation systems in global arid regions using instance segmentation and analyzing their spatial relationship with freshwater resources
	Chen, Fen; Zhao, Haojie; Roberts, Dar; Voorde, Tim Van de; Batelaan, Okke; Fan, Tao; Xu, Wenbo
通讯作者	Chen, F
来源期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
EISSN	1879-0704
出版年	2023
卷号	297
英文摘要	Ensuring freshwater availability and supply sufficient for socio-economic development is important for human health and productivity. Globally, increasing industrial agriculture is driving crop productivity, with increasing surface water and groundwater being withdrawn for irrigation. This study mapped center pivot irrigation systems (CPIS), which are indicators of intensified industrial agriculture and large-scale investment in agriculture, with satellite data using a convolutional neural network in global arid areas. A cascade instance segmentation network was adopted, and both the convolutional block attention module technique and PointRend technique were used to increase the performance of off-the-shelf algorithms. Geospatial analysis methods were used to derive the relationships between CPIS and freshwater resources. Overall there were about 10.26 million hectares (Mha) of irrigated areas equipped with CPIS in global arid areas in 2021, and there were 4.41 Mha of CPISequipped irrigated fields added in the past twenty years at a relative increase of 75% compared with those at the beginning of this century. Although the largest extent of increased CPIS-equipped irrigated fields was in North America, the other five continents had higher relative increases, with Africa having the highest relative growth of 253%. The analysis of spatial relationships between CPIS and freshwater resources indicates that the stress on freshwater resources from industrial agriculture is intensifying in arid areas globally. Overall, the world's arid regions with the highest water stress from CPIS are mostly located in western North America, northern Africa, and the Arabian Peninsula. The results facilitate a better understanding of the current status of freshwater stress and ecosystem sustainability in relation to the development of agricultural intensification in global arid areas. The outcomes support governments to judge better the environmental consequences of agricultural modernization and further help them make balanced agriculture and water management policies.
英文关键词	Center pivot irrigation systems Freshwater Groundwater Remote sensing Deep learning Instance segmentation PointRend
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001063626200001
WOS关键词	GROUNDWATER
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; 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/2XILL650/398357
推荐引用方式 GB/T 7714	Chen, Fen,Zhao, Haojie,Roberts, Dar,et al. Mapping center pivot irrigation systems in global arid regions using instance segmentation and analyzing their spatial relationship with freshwater resources[J],2023,297.
APA	Chen, Fen.,Zhao, Haojie.,Roberts, Dar.,Voorde, Tim Van de.,Batelaan, Okke.,...&Xu, Wenbo.(2023).Mapping center pivot irrigation systems in global arid regions using instance segmentation and analyzing their spatial relationship with freshwater resources.REMOTE SENSING OF ENVIRONMENT,297.
MLA	Chen, Fen,et al."Mapping center pivot irrigation systems in global arid regions using instance segmentation and analyzing their spatial relationship with freshwater resources".REMOTE SENSING OF ENVIRONMENT 297(2023).