{"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\/nl\/2024\/01\/researchers-map-the-oceans-to-uncover-dark-vessels-and-offshore-structures\/","title":{"rendered":"Onderzoekers brengen de oceanen in kaart om 'donkere schepen' en offshore structuren te ontdekken"},"content":{"rendered":"

Onderzoekers hebben inzichten verkregen in wereldwijde maritieme activiteiten door neurale netwerken te gebruiken om satelliet- en radarbeelden te analyseren.\u00a0<\/b><\/p>\n

Deze studie, gepubliceerd in <\/span>Natuur<\/span><\/a> en geleid door Fernando Paolo van <\/span>Wereldwijde visserijcontrole<\/span><\/a>, een non-profit organisatie uit Washington DC, onthult dat driekwart van alle grote vissersschepen ter wereld en een kwart van alle transport- en energieschepen opereren als \"duistere schepen\", die hun locaties niet publiekelijk delen.<\/span><\/p>\n

Fernando Paolo legt uit: \"Historisch gezien is de activiteit van schepen slecht gedocumenteerd, waardoor ons begrip van het gebruik van 's werelds grootste openbare hulpbron - de oceaan - beperkt is.\"<\/span><\/p>\n

\u00a0\"We hadden het idee dat we een groot deel van de activiteit in de oceaan misten, maar we wisten niet hoeveel. En we ontdekten dat het veel meer is dan we ons hadden voorgesteld.\"\u00a0<\/span><\/p>\n

Met gegevens van 2017 tot 2021 analyseerde het team GPS-, satelliet- en radarbeelden van kustgebieden waar belangrijke visserij- en industri\u00eble activiteiten geconcentreerd zijn. Ze<\/span>\u00a0meerdere neurale netwerken getraind om boten en offshore structuren in deze beelden te herkennen en te classificeren.<\/span><\/p>\n

De resulterende analyse toonde aan dat de meeste van de ongeveer 63.000 schepen die werden gevolgd niet consequent gebruik maakten van geautomatiseerde identificatiesystemen, wat zorgen baarde over illegale activiteiten zoals ongereguleerde visserij.\u00a0<\/span><\/p>\n

\"AI
De voetafdruk van verschillende offshore-infrastructuren in kaart gebracht. Bron: Natuur<\/a>.<\/figcaption><\/figure>\n

E\u00e9n AI werd specifiek getraind om vissersschepen te onderscheiden op basis van hun reispatronen en locaties, waarbij 42 tot 49% van de schepen als vissersboot werd geclassificeerd.<\/span><\/p>\n

Jennifer Raynor, assistent-professor economie van natuurlijke hulpbronnen aan de Universiteit van Wisconsin-Madison, verklaarde: \"Door donkere schepen te onthullen, hebben we het meest uitgebreide publieke beeld van de wereldwijde industri\u00eble visserij gecre\u00eberd dat beschikbaar is.\"\u00a0<\/span><\/p>\n

Verder identificeerde het onderzoek 28.000 offshore constructies, waaronder constructies die betrokken zijn bij windenergie en olieproductie, met een opmerkelijke stijging van offshore windturbines.<\/span><\/p>\n

Het aantal oliestructuren steeg met 16% tijdens de onderzoeksperiode, maar nog opvallender is dat het aantal windturbines meer dan verdubbelde en tegen 2021 olieplatforms overtrof.\u00a0<\/span><\/p>\n

De groei in offshore windenergie was vooral uitgesproken in China, waar tussen 2017 en 2021 een vernegenvoudiging plaatsvond.<\/span><\/p>\n

\"AI
Er was een sterke toename van windturbines in de onderzoeksperiode. Bron: Natuur<\/a>.<\/figcaption><\/figure>\n

Meer over het onderzoek<\/span><\/h2>\n

Het onderzoek van Global Fishing Watch bracht industri\u00eble activiteiten op zee in kaart met behulp van neurale netwerken. <\/span><\/p>\n

Hier is meer informatie over hoe het werkte:<\/span><\/p>\n

    \n
  1. Gegevensverzameling en integratie<\/b>: Tussen 2017 en 2021 verzamelde het team een enorme hoeveelheid gegevens, waaronder 2 petabytes aan satellietbeelden, GPS-gegevens van schepen en deep learning-modellen. Deze gegevens bestreken de kustwateren van de wereld, waar meer dan 75% aan industri\u00eble activiteit geconcentreerd is.<\/span><\/li>\n
  2. Deep learning modelontwikkeling<\/b>: Ze ontwikkelden drie diepe convolutionele neurale netwerken. Deze netwerken werden ontworpen voor specifieke taken: het identificeren van objecten en het schatten van hun lengte met hoge nauwkeurigheid, het classificeren van offshore infrastructuur in categorie\u00ebn zoals olie, wind en andere structuren, en het onderscheiden van vissende en niet-vissende schepen.<\/span><\/li>\n
  3. Analyse van satellietbeelden en GPS-gegevens van schepen<\/b>: De onderzoekers analyseerden satellietbeelden om schepen en offshore structuren te detecteren en vergeleken deze bevindingen vervolgens met GPS-gegevens van schepen die publiekelijk hun locatie uitzonden. Hieruit bleek dat een aanzienlijk deel van de industri\u00eble vissersschepen (72 tot 76%) en andere schepen (21 tot 30%) niet publiekelijk werden gevolgd.<\/span><\/li>\n
  4. Activiteiten in kaart brengen<\/b>: Het team bracht de scheepsactiviteiten en offshore energie-infrastructuur in kaart en benadrukte de verspreiding en concentratie van deze activiteiten in kustwateren. Ze ontdekten dat de visserijactiviteit aanzienlijk afnam tijdens de COVID-19 pandemie, terwijl de activiteiten van transport- en energieschepen relatief stabiel bleven.<\/span><\/li>\n
  5. Evaluatie van milieueffecten<\/b>: Tot slot identificeerden de onderzoekers potenti\u00eble hotspots voor illegale visserij en kwantificeerden ze de omvang van de scheepsactiviteiten, waaronder de snelle groei van offshore windinfrastructuur, die het aantal oliestructuren in 2021 overtrof.\u00a0<\/span><\/li>\n<\/ol>\n

    De onderzoekers hopen dat deze kaart nu kan helpen bij het beheren en begrijpen van toekomstige menselijke activiteiten in de oceaan.\u00a0<\/span><\/p>\n

    Coauteur Patrick Halpin, hoogleraar mariene geospatiale ecologie aan Duke University, stelt: \"De voetafdruk van het Antropoceen is niet langer beperkt tot terra firma,\" wat betekent dat de menselijke activiteit in dit huidige tijdperk tot in elke uithoek van de planeet is doorgedrongen. <\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Onderzoekers hebben inzichten ontdekt in wereldwijde maritieme activiteiten door gebruik te maken van neurale netwerken om satelliet- en radarbeelden te analyseren. Deze studie, gepubliceerd in Nature en geleid door Fernando Paolo van Global Fishing Watch, een non-profit organisatie in Washington DC, onthult dat driekwart van alle grote vissersschepen ter wereld en een kwart van de transport- en energieschepen opereren als \"duistere schepen\", die hun locaties niet publiekelijk delen. Fernando Paolo legt uit: \"Historisch gezien is de activiteit van schepen slecht gedocumenteerd, waardoor ons begrip van het gebruik van 's werelds grootste openbare hulpbron - de oceaan - beperkt is. \"We hadden het idee dat we een groot deel van de activiteit misten die in de oceaan plaatsvindt.<\/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\" content=\"index, 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