气候变化领域集成服务门户(CCPortal): Satellites can reveal global extent of forced labor in the world’s fishing fleet

CCPortal

DOI	10.1073/pnas.2016238117
	Satellites can reveal global extent of forced labor in the world’s fishing fleet
	McDonald G.G.; Costello C.; Bone J.; Cabral R.B.; Farabee V.; Hochberg T.; Kroodsma D.; Mangin T.; Meng K.C.; Zahn O.
发表日期	2021
ISSN	00278424
卷号	118 期号:3
英文摘要	While forced labor in the world’s fishing fleet has been widely documented, its extent remains unknown. No methods previously existed for remotely identifying individual fishing vessels potentially engaged in these abuses on a global scale. By combining expertise from human rights practitioners and satellite vessel monitoring data, we show that vessels reported to use forced labor behave in systematically different ways from other vessels. We exploit this insight by using machine learning to identify high-risk vessels from among 16,000 industrial longliner, squid jigger, and trawler fishing vessels. Our model reveals that between 14% and 26% of vessels were high-risk, and also reveals patterns of where these vessels fished and which ports they visited. Between 57,000 and 100,000 individuals worked on these vessels, many of whom may have been forced labor victims. This information provides unprecedented opportunities for novel interventions to combat this humanitarian tragedy. More broadly, this research demonstrates a proof of concept for using remote sensing to detect forced labor abuses. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	Forced labor in fisheries; Machine learning; Satellite vessel monitoring data
语种	英语
scopus关键词	adult; article; female; fishery; fishing; human; human experiment; human rights; machine learning; major clinical study; male; nonhuman; physician; proof of concept; remote sensing; ship; squid; victim
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/180944
作者单位	Bren School of Environmental Science & Management, University of California, Santa Barbara, CA 93106, United States; Marine Science Institute, University of California, Santa Barbara, CA 93106, United States; Liberty Shared, Washington, DC 20001, United States; Global Fishing Watch Inc., Washington, DC 20036, United States; Department of Economics, University of California, Santa Barbara, CA 93106, United States; Google, Mountain View, CA 94043, United States
推荐引用方式 GB/T 7714	McDonald G.G.,Costello C.,Bone J.,等. Satellites can reveal global extent of forced labor in the world’s fishing fleet[J],2021,118(3).
APA	McDonald G.G..,Costello C..,Bone J..,Cabral R.B..,Farabee V..,...&Zahn O..(2021).Satellites can reveal global extent of forced labor in the world’s fishing fleet.Proceedings of the National Academy of Sciences of the United States of America,118(3).
MLA	McDonald G.G.,et al."Satellites can reveal global extent of forced labor in the world’s fishing fleet".Proceedings of the National Academy of Sciences of the United States of America 118.3(2021).