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Revealing the global longline fleet with satellite radar.
Kroodsma, David A; Hochberg, Timothy; Davis, Pete B; Paolo, Fernando S; Joo, Rocío; Wong, Brian A.
Afiliação
  • Kroodsma DA; Global Fishing Watch, Washington, DC, 20036, USA. david@globalfishingwatch.org.
  • Hochberg T; Global Fishing Watch, Washington, DC, 20036, USA.
  • Davis PB; Global Fishing Watch, Washington, DC, 20036, USA.
  • Paolo FS; Global Fishing Watch, Washington, DC, 20036, USA.
  • Joo R; Global Fishing Watch, Washington, DC, 20036, USA.
  • Wong BA; Global Fishing Watch, Washington, DC, 20036, USA.
Sci Rep ; 12(1): 21004, 2022 12 05.
Article em En | MEDLINE | ID: mdl-36470894
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radar / Pesqueiros Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radar / Pesqueiros Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos