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Revealing the global longline fleet with satellite radar.

Authors :
Kroodsma, David A.
Hochberg, Timothy
Davis, Pete B.
Paolo, Fernando S.
Joo, Rocío
Wong, Brian A.
Source :
Scientific Reports; 12/5/2022, Vol. 12 Issue 1, p1-12, 12p
Publication Year :
2022

Abstract

Because many vessels use the Automatic Identification System (AIS) to broadcast GPS positions, recent advances in satellite technology have enabled us to map global fishing activity. Understanding of human activity at sea, however, is limited because an unknown number of vessels do not broadcast AIS. Those vessels can be detected by satellite-based Synthetic Aperture Radar (SAR) imagery, but this technology has not yet been deployed at scale to estimate the size of fleets in the open ocean. Here we combine SAR and AIS for large-scale open ocean monitoring, developing methods to match vessels with AIS to vessels detected with SAR and estimate the number of non-broadcasting vessels. We reveal that, between September 2019 and January 2020, non-broadcasting vessels accounted for about 35% of the longline activity north of Madagascar and 10% of activity near French Polynesia and Kiribati's Line Islands. We further demonstrate that this method could monitor half of the global longline activity with about 70 SAR images per week, allowing us to track human activity across the oceans. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20452322
Volume :
12
Issue :
1
Database :
Complementary Index
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
160579776
Full Text :
https://doi.org/10.1038/s41598-022-23688-7