{"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\/es\/2024\/01\/researchers-map-the-oceans-to-uncover-dark-vessels-and-offshore-structures\/","title":{"rendered":"Los investigadores cartograf\u00edan los oc\u00e9anos para descubrir \"buques oscuros\" y estructuras en alta mar"},"content":{"rendered":"

Los investigadores han descubierto informaci\u00f3n sobre las actividades mar\u00edtimas mundiales utilizando redes neuronales para analizar im\u00e1genes de sat\u00e9lite y radar.\u00a0<\/b><\/p>\n

Este estudio, publicado en <\/span>Naturaleza<\/span><\/a> y dirigido por Fernando Paolo de <\/span>Vigilancia Mundial de la Pesca<\/span><\/a>una organizaci\u00f3n sin \u00e1nimo de lucro con sede en Washington DC, revela que tres cuartas partes de los grandes buques pesqueros del mundo y una cuarta parte de los buques de transporte y energ\u00eda operan como \"buques oscuros\", sin compartir p\u00fablicamente su ubicaci\u00f3n.<\/span><\/p>\n

Fernando Paolo explic\u00f3: \"Hist\u00f3ricamente, la actividad de los buques ha estado mal documentada, lo que limita nuestra comprensi\u00f3n de c\u00f3mo se utiliza el mayor recurso p\u00fablico del mundo: el oc\u00e9ano\".<\/span><\/p>\n

\u00a0\"Ten\u00edamos la idea de que nos est\u00e1bamos perdiendo una gran parte de la actividad que ocurre en el oc\u00e9ano, pero no sab\u00edamos cu\u00e1nta. Y descubrimos que es mucho m\u00e1s de lo que imagin\u00e1bamos\".\u00a0<\/span><\/p>\n

Utilizando datos que abarcan de 2017 a 2021, el equipo analiz\u00f3 im\u00e1genes de GPS, sat\u00e9lite y radar de zonas costeras donde suelen concentrarse las principales operaciones pesqueras e industriales. En<\/span>\u00a0entren\u00f3 m\u00faltiples redes neuronales para detectar y clasificar barcos y estructuras en alta mar dentro de estas im\u00e1genes.<\/span><\/p>\n

El an\u00e1lisis resultante mostr\u00f3 que la mayor\u00eda de los aproximadamente 63.000 buques rastreados no utilizaban sistem\u00e1ticamente sistemas automatizados de identificaci\u00f3n, lo que suscitaba preocupaci\u00f3n por actividades ilegales como la pesca no regulada.\u00a0<\/span><\/p>\n

\"IA
Trazado de la huella de diversas infraestructuras mar\u00edtimas. Fuente: Naturaleza<\/a>.<\/figcaption><\/figure>\n

Se entren\u00f3 espec\u00edficamente a una IA para distinguir los buques pesqueros en funci\u00f3n de sus pautas de desplazamiento y ubicaci\u00f3n, y se descubri\u00f3 que entre el 42 y el 49% de los buques se clasificaban como pesqueros.<\/span><\/p>\n

Jennifer Raynor, coautora del estudio y profesora adjunta de Econom\u00eda de los Recursos Naturales en la Universidad de Wisconsin-Madison, declar\u00f3: \"Al revelar los buques oscuros, hemos creado la imagen p\u00fablica m\u00e1s completa de la pesca industrial mundial disponible\".\u00a0<\/span><\/p>\n

Adem\u00e1s, el estudio identific\u00f3 28.000 estructuras marinas, incluidas las dedicadas a la energ\u00eda e\u00f3lica y la producci\u00f3n de petr\u00f3leo, con un notable aumento de las turbinas e\u00f3licas marinas.<\/span><\/p>\n

El n\u00famero de estructuras petrol\u00edferas experiment\u00f3 un aumento de 16% durante el periodo de estudio, pero a\u00fan m\u00e1s notable es que el recuento de turbinas e\u00f3licas se duplic\u00f3 con creces, superando a las plataformas petrol\u00edferas en 2021.\u00a0<\/span><\/p>\n

El crecimiento de la energ\u00eda e\u00f3lica marina fue especialmente pronunciado en China, que experiment\u00f3 un aumento de nueve veces entre 2017 y 2021.<\/span><\/p>\n

\"IA
El n\u00famero de turbinas e\u00f3licas aument\u00f3 considerablemente durante el periodo estudiado. Fuente: Naturaleza<\/a>.<\/figcaption><\/figure>\n

M\u00e1s informaci\u00f3n sobre el estudio<\/span><\/h2>\n

El estudio realizado por Global Fishing Watch cartografi\u00f3 las actividades industriales en el mar con ayuda de redes neuronales. <\/span><\/p>\n

Aqu\u00ed tienes m\u00e1s informaci\u00f3n sobre c\u00f3mo funcionaba:<\/span><\/p>\n

    \n
  1. Recogida e integraci\u00f3n de datos<\/b>: Entre 2017 y 2021, el equipo recopil\u00f3 una enorme cantidad de datos, incluidos 2 petabytes de im\u00e1genes por sat\u00e9lite, datos de GPS de buques y modelos de aprendizaje profundo. Estos datos abarcaban las aguas costeras del mundo, donde se concentran m\u00e1s de 75% de actividad industrial.<\/span><\/li>\n
  2. Desarrollo de modelos de aprendizaje profundo<\/b>: Desarrollaron tres redes neuronales convolucionales profundas. Estas redes se dise\u00f1aron para tareas espec\u00edficas: identificar objetos y estimar sus longitudes con gran precisi\u00f3n, clasificar infraestructuras en alta mar en categor\u00edas como petr\u00f3leo, viento y otras estructuras, y distinguir entre buques pesqueros y no pesqueros.<\/span><\/li>\n
  3. An\u00e1lisis de im\u00e1genes de sat\u00e9lite y datos GPS de los buques<\/b>: Los investigadores analizaron im\u00e1genes de sat\u00e9lite para detectar buques y estructuras en alta mar y, a continuaci\u00f3n, cotejaron estos resultados con los datos GPS de los buques que difund\u00edan p\u00fablicamente su ubicaci\u00f3n. Esto revel\u00f3 que una parte significativa de los buques de pesca industrial (72 a 76%) y otros buques (21 a 30%) no estaban rastreados p\u00fablicamente.<\/span><\/li>\n
  4. Cartograf\u00eda y actividades<\/b>: El equipo cartografi\u00f3 las actividades de los buques y la infraestructura energ\u00e9tica en alta mar, destacando la distribuci\u00f3n y concentraci\u00f3n de estas actividades en las aguas costeras. Descubrieron que la actividad pesquera disminuy\u00f3 significativamente durante la pandemia COVID-19, mientras que las actividades de los buques de transporte y energ\u00eda se mantuvieron relativamente estables.<\/span><\/li>\n
  5. Evaluaci\u00f3n del impacto ambiental<\/b>: Por \u00faltimo, los investigadores identificaron posibles focos de pesca ilegal y cuantificaron la escala de las actividades de los buques, incluido el r\u00e1pido crecimiento de la infraestructura e\u00f3lica marina, que super\u00f3 el n\u00famero de estructuras petrol\u00edferas en 2021.\u00a0<\/span><\/li>\n<\/ol>\n

    Los investigadores esperan que este mapa pueda ayudar ahora a gestionar y comprender las futuras actividades humanas en el oc\u00e9ano.\u00a0<\/span><\/p>\n

    Como afirma el coautor Patrick Halpin, profesor de ecolog\u00eda geoespacial marina de la Universidad de Duke, \"la huella del Antropoceno ya no se limita a tierra firme\", lo que significa que la actividad humana en esta \u00e9poca actual ha penetrado en todos los rincones del planeta. <\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Unos investigadores han descubierto informaci\u00f3n sobre las actividades mar\u00edtimas mundiales utilizando redes neuronales para analizar im\u00e1genes de sat\u00e9lite y radar. Este estudio, publicado en Nature y dirigido por Fernando Paolo, de Global Fishing Watch, una organizaci\u00f3n sin \u00e1nimo de lucro con sede en Washington DC, revela que tres cuartas partes de los grandes buques pesqueros del mundo y una cuarta parte de los buques de transporte y energ\u00eda operan como \"buques oscuros\", sin compartir p\u00fablicamente su ubicaci\u00f3n. Fernando Paolo explic\u00f3: \"Hist\u00f3ricamente, la actividad de los buques ha estado mal documentada, lo que limita nuestra comprensi\u00f3n de c\u00f3mo se utiliza el mayor recurso p\u00fablico del mundo: el oc\u00e9ano\". \"Ten\u00edamos la idea de que nos est\u00e1bamos perdiendo una gran parte de la actividad que ocurre en<\/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 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