{"id":8964,"date":"2024-01-07T16:09:27","date_gmt":"2024-01-07T16:09:27","guid":{"rendered":"https:\/\/dailyai.com\/?p=8964"},"modified":"2024-01-07T18:19:46","modified_gmt":"2024-01-07T18:19:46","slug":"researchers-map-the-oceans-to-uncover-dark-vessels-and-offshore-structures","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/01\/researchers-map-the-oceans-to-uncover-dark-vessels-and-offshore-structures\/","title":{"rendered":"Forskere kortl\u00e6gger havene for at afd\u00e6kke 'm\u00f8rke fart\u00f8jer' og offshore-strukturer"},"content":{"rendered":"

Forskere har afd\u00e6kket indsigt i globale maritime aktiviteter ved hj\u00e6lp af neurale netv\u00e6rk til at analysere satellit- og radarbilleder.\u00a0<\/b><\/p>\n

Denne unders\u00f8gelse blev offentliggjort i <\/span>Naturen<\/span><\/a> og ledet af Fernando Paolo fra <\/span>Global Fishing Watch<\/span><\/a>en non-profit organisation med base i Washington DC, afsl\u00f8rer, at tre fjerdedele af verdens store fiskefart\u00f8jer og en fjerdedel af transport- og energiskibene opererer som \"m\u00f8rke fart\u00f8jer\", der ikke deler deres positioner offentligt.<\/span><\/p>\n

Fernando Paolo forklarede: \"Historisk set har skibsaktivitet v\u00e6ret d\u00e5rligt dokumenteret, hvilket begr\u00e6nser vores forst\u00e5else af, hvordan verdens st\u00f8rste offentlige ressource - havet - bliver brugt.\"<\/span><\/p>\n

\u00a0\"Vi havde en id\u00e9 om, at vi gik glip af en stor del af den aktivitet, der foreg\u00e5r i havet, men vi vidste ikke hvor meget. Og vi fandt ud af, at det er meget mere, end vi havde forestillet os.\"\u00a0<\/span><\/p>\n

Ved hj\u00e6lp af data fra 2017 til 2021 analyserede teamet GPS-, satellit- og radarbilleder fra kystomr\u00e5der, hvor store fiskeri- og industriaktiviteter har tendens til at v\u00e6re koncentreret. De<\/span>\u00a0tr\u00e6net flere neurale netv\u00e6rk til at spotte og klassificere b\u00e5de og offshore-strukturer i disse billeder.<\/span><\/p>\n

Den resulterende analyse viste, at de fleste af de ca. 63.000 fart\u00f8jer, der blev sporet, ikke konsekvent brugte automatiske identifikationssystemer, hvilket gav anledning til bekymring for ulovlige aktiviteter som ureguleret fiskeri.\u00a0<\/span><\/p>\n

\"Fiskeri
Kortl\u00e6gning af forskellige offshore-infrastrukturers fodaftryk. Kilde: Naturen<\/a>.<\/figcaption><\/figure>\n

En AI blev specifikt tr\u00e6net til at skelne mellem fiskefart\u00f8jer baseret p\u00e5 deres rejsem\u00f8nstre og placeringer og fandt, at 42 til 49% af fart\u00f8jerne blev klassificeret som fiskerb\u00e5de.<\/span><\/p>\n

Unders\u00f8gelsens medforfatter Jennifer Raynor, assisterende professor i naturressource\u00f8konomi ved University of Wisconsin-Madison, udtaler: \"Ved at afsl\u00f8re m\u00f8rke fart\u00f8jer har vi skabt det mest omfattende offentlige billede af globalt industrielt fiskeri, der findes.\"\u00a0<\/span><\/p>\n

Desuden identificerede unders\u00f8gelsen 28.000 offshore-strukturer, herunder dem, der er involveret i vindkraft og olieproduktion, med en bem\u00e6rkelsesv\u00e6rdig stigning i offshore-vindm\u00f8ller.<\/span><\/p>\n

Antallet af oliestrukturer steg med 16% i l\u00f8bet af unders\u00f8gelsesperioden, men endnu mere bem\u00e6rkelsesv\u00e6rdigt var det, at antallet af vindm\u00f8ller blev mere end fordoblet og overgik olieplatformene i 2021.\u00a0<\/span><\/p>\n

V\u00e6ksten i offshore vindenergi var s\u00e6rlig udtalt i Kina, som oplevede en nidobbelt stigning fra 2017 til 2021.<\/span><\/p>\n

\"Fiskeri
Der var en kraftig stigning i antallet af vindm\u00f8ller i hele unders\u00f8gelsesperioden. Kilde: Naturen<\/a>.<\/figcaption><\/figure>\n

Mere om unders\u00f8gelsen<\/span><\/h2>\n

Unders\u00f8gelsen, der blev udf\u00f8rt af Global Fishing Watch, kortlagde industrielle aktiviteter til s\u00f8s ved hj\u00e6lp af neurale netv\u00e6rk. <\/span><\/p>\n

Her er mere information om, hvordan det fungerede:<\/span><\/p>\n

    \n
  1. Dataindsamling og -integration<\/b>: Mellem 2017 og 2021 indsamlede teamet en enorm m\u00e6ngde data, herunder 2 petabytes satellitbilleder, GPS-data fra fart\u00f8jer og deep learning-modeller. Disse data d\u00e6kkede verdens kystn\u00e6re farvande, hvor over 75% af den industrielle aktivitet er koncentreret.<\/span><\/li>\n
  2. Udvikling af deep learning-modeller<\/b>: De udviklede tre dybe neurale netv\u00e6rk. Disse netv\u00e6rk blev designet til specifikke opgaver: at identificere objekter og estimere deres l\u00e6ngde med stor n\u00f8jagtighed, at klassificere offshore-infrastruktur i kategorier som olie, vind og andre strukturer og at skelne mellem fiskende og ikke-fiskende fart\u00f8jer.<\/span><\/li>\n
  3. Analyse af satellitbilleder og GPS-data fra fart\u00f8jer<\/b>: Forskerne analyserede satellitbilleder for at opdage fart\u00f8jer og offshore-strukturer og matchede derefter disse fund med GPS-data fra fart\u00f8jer, der offentligt udsendte deres placering. Dette afsl\u00f8rede, at en betydelig del af industrifiskerfart\u00f8jerne (72 til 76%) og andre fart\u00f8jer (21 til 30%) ikke blev sporet offentligt.<\/span><\/li>\n
  4. Kortl\u00e6gning og af aktiviteter<\/b>: Teamet kortlagde skibsaktiviteter og offshore energiinfrastruktur og fremh\u00e6vede fordelingen og koncentrationen af disse aktiviteter i kystfarvande. De opdagede, at fiskeriaktiviteten faldt markant under COVID-19-pandemien, mens transport- og energifart\u00f8jsaktiviteterne forblev relativt stabile.<\/span><\/li>\n
  5. Evaluering af milj\u00f8p\u00e5virkning<\/b>: Endelig identificerede forskerne potentielle hotspots for ulovligt fiskeri og kvantificerede omfanget af skibsaktiviteter, herunder den hurtige v\u00e6kst i offshore vindinfrastruktur, som overgik antallet af oliestrukturer i 2021.\u00a0<\/span><\/li>\n<\/ol>\n

    Forskerne h\u00e5ber, at dette kort nu kan hj\u00e6lpe med at styre og forst\u00e5 fremtidige menneskelige aktiviteter i havet.\u00a0<\/span><\/p>\n

    Som medforfatter Patrick Halpin, professor i marin geospatial \u00f8kologi ved Duke University, siger: \"Det antropoc\u00e6ne fodaftryk er ikke l\u00e6ngere begr\u00e6nset til terra firma\", hvilket betyder, at menneskelig aktivitet i denne nuv\u00e6rende epoke er tr\u00e6ngt ind i hvert et hj\u00f8rne af planeten. <\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Forskere har f\u00e5et indsigt i globale maritime aktiviteter ved at bruge neurale netv\u00e6rk til at analysere satellit- og radarbilleder. Unders\u00f8gelsen, der er offentliggjort i Nature og ledet af Fernando Paolo fra Global Fishing Watch, en non-profit organisation i Washington DC, viser, at tre fjerdedele af verdens store fiskefart\u00f8jer og en fjerdedel af transport- og energiskibene opererer som \"m\u00f8rke fart\u00f8jer\", der ikke deler deres positioner offentligt. Fernando Paolo forklarede: \"Historisk set har skibsaktivitet v\u00e6ret d\u00e5rligt dokumenteret, hvilket begr\u00e6nser vores forst\u00e5else af, hvordan verdens st\u00f8rste offentlige ressource - havet - bliver brugt.\" \"Vi havde en id\u00e9 om, at vi gik glip af en stor del af den aktivitet, der foreg\u00e5r i<\/p>","protected":false},"author":2,"featured_media":8966,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[105],"class_list":["post-8964","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-machine-learning"],"yoast_head":"\nResearchers map the oceans to uncover 'dark vessels' and offshore structures | DailyAI<\/title>\n<meta name=\"description\" content=\"Researchers have uncovered insights into global maritime activities by using neural networks to analyze satellite and radar images.\u00a0\" \/>\n<meta name=\"robots\" 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