Uydu g\u00f6r\u00fcnt\u00fcleri ve yapay zeka (YZ), okyanus y\u00fczeyine ili\u015fkin anlay\u0131\u015f\u0131m\u0131z\u0131 k\u00f6kten de\u011fi\u015ftirdi. Nature dergisinde yay\u0131nlanan \u00e7\u0131\u011f\u0131r a\u00e7an bir ara\u015ft\u0131rma, denizdeki insan faaliyetlerinin ilk k\u00fcresel haritas\u0131n\u0131 olu\u015fturarak \u00e7arp\u0131c\u0131 bir ger\u00e7e\u011fi ortaya koydu: End\u00fcstriyel bal\u0131k\u00e7\u0131 gemilerinin %72-76’s\u0131 kamuoyuna a\u00e7\u0131k bir \u015fekilde takip edilmiyor.<\/p>\n\n
Bu “karanl\u0131k filolar”, bir geminin konumunu ve h\u0131z\u0131n\u0131 yay\u0131nlayan AIS (Otomatik Tan\u0131mlama Sistemleri) cihazlar\u0131 olmadan, tespit edilmeden faaliyet g\u00f6steriyor. Bu \u015feffafl\u0131k eksikli\u011fi, okyanus kullan\u0131m\u0131n\u0131 do\u011fru bir \u015fekilde de\u011ferlendirme ve yasad\u0131\u015f\u0131 bal\u0131k\u00e7\u0131l\u0131kla m\u00fccadele etme konusundaki yeteneklerimizi engelledi.<\/p>\n\n
Ara\u015ft\u0131rman\u0131n bulgular\u0131, karanl\u0131k filolar\u0131n yo\u011funla\u015ft\u0131\u011f\u0131 G\u00fcney Asya ve Afrika \u00e7evresindeki sularda \u00f6zellikle endi\u015fe verici. Bu gemilerin \u00e7o\u011fu, yasad\u0131\u015f\u0131 bal\u0131k\u00e7\u0131l\u0131k uygulamalar\u0131na girmek i\u00e7in AIS ba\u011flant\u0131lar\u0131n\u0131 kas\u0131tl\u0131 olarak kesiyor.<\/p>\n\n
Ara\u015ft\u0131rma, bal\u0131k\u00e7\u0131l\u0131\u011f\u0131n \u00f6tesinde, “mavi h\u0131zlanma” olarak bilinen bir fenomen olan okyanuslar\u0131n h\u0131zla end\u00fcstrile\u015fmesine de \u0131\u015f\u0131k tutuyor. Uydu verileri, a\u00e7\u0131k deniz enerji geli\u015ftirmede bir art\u0131\u015f g\u00f6steriyor ve r\u00fczgar t\u00fcrbinleri art\u0131k okyanus altyap\u0131s\u0131n\u0131n %48’ini olu\u015ftururken, petrol platformlar\u0131 %38’ini olu\u015fturuyor.<\/p>\n\n
Denizde gemilerin ve enerji yap\u0131lar\u0131n\u0131n artan varl\u0131\u011f\u0131, deniz ekosistemleri \u00fczerindeki bask\u0131y\u0131 vurgulamaktad\u0131r. Ara\u015ft\u0131rma, okyanuslar\u0131m\u0131z\u0131n uzun vadeli sa\u011fl\u0131\u011f\u0131n\u0131 sa\u011flamak i\u00e7in bu faaliyetlerin izlenmesi ve y\u00f6netilmesi gerekti\u011finin alt\u0131n\u0131 \u00e7iziyor.<\/p>\n\n
Ara\u015ft\u0131rman\u0131n bulgular\u0131, deniz koruma \u00e7al\u0131\u015fmalar\u0131 i\u00e7in \u00f6nemli sonu\u00e7lar do\u011furmaktad\u0131r. Gemileri takip ederek, korunan alanlara tecav\u00fcz edilen alanlar\u0131 belirleyebiliriz.<\/p>\n\n
\u00d6rne\u011fin ara\u015ft\u0131rma, haftada 20’den fazla geminin B\u00fcy\u00fck Set Resifi Deniz Park\u0131’na girdi\u011fini ve haftada be\u015ften fazla geminin Galapagos Deniz Rezervi’ne girdi\u011fini ortaya \u00e7\u0131kard\u0131. Bu veriler, yetkililerin uygulamay\u0131 g\u00fc\u00e7lendirmesine ve bu hassas deniz ortamlar\u0131n\u0131 korumas\u0131na yard\u0131mc\u0131 olabilir.<\/p>\n\n
Uydu g\u00f6r\u00fcnt\u00fcleri, GPS verileri ve YZ’nin birle\u015fimi, okyanus etkinli\u011fini izleme yetene\u011fimizi d\u00f6n\u00fc\u015ft\u00fcrd\u00fc. Bu teknolojiler, bal\u0131k tutma modelleri, enerji geli\u015ftirme ve okyanuslar\u0131n genel end\u00fcstrile\u015fmesi hakk\u0131nda de\u011ferli bilgiler sa\u011flar.<\/p>\n\n
Bu ara\u00e7lar\u0131 kullanarak, daha s\u00fcrd\u00fcr\u00fclebilir ve sorumlu bir okyanus y\u00f6netimine do\u011fru \u00e7al\u0131\u015fabiliriz. Buna yasad\u0131\u015f\u0131 bal\u0131k\u00e7\u0131l\u0131kla m\u00fccadele, deniz ekosistemlerinin korunmas\u0131 ve okyanuslar\u0131m\u0131z\u0131n gelecek nesiller i\u00e7in uzun vadeli sa\u011fl\u0131\u011f\u0131n\u0131n sa\u011flanmas\u0131 da dahildir.<\/p>","protected":false},"excerpt":{"rendered":"
Okyanus Etkinli\u011finin Gizli D\u00fcnyas\u0131n\u0131n Perde Arkas\u0131: Uydu Haritalar\u0131, Kay\u0131t Alt\u0131na Al\u0131nmam\u0131\u015f Yayg\u0131n Bal\u0131k\u00e7\u0131l\u0131\u011f\u0131 ve End\u00fcstrile\u015fmeyi Ortaya \u00c7\u0131kar\u0131yor G\u00f6r\u00fcnmeyeni Haritalamak: Karanl\u0131k Filolar\u0131 Ortaya \u00c7\u0131karmak Uydu g\u00f6r\u00fcnt\u00fcleri ve yapay zeka (YZ), okyanus…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1300],"tags":[2290,1298,1302,889,1254],"class_list":["post-4170","post","type-post","status-publish","format-standard","hentry","category-marine-science","tag-fishing","tag-marine-conservation","tag-oceanography","tag-satellite-imagery","tag-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/www.lifescienceart.com\/tr\/wp-json\/wp\/v2\/posts\/4170","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lifescienceart.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lifescienceart.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lifescienceart.com\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lifescienceart.com\/tr\/wp-json\/wp\/v2\/comments?post=4170"}],"version-history":[{"count":1,"href":"https:\/\/www.lifescienceart.com\/tr\/wp-json\/wp\/v2\/posts\/4170\/revisions"}],"predecessor-version":[{"id":4171,"href":"https:\/\/www.lifescienceart.com\/tr\/wp-json\/wp\/v2\/posts\/4170\/revisions\/4171"}],"wp:attachment":[{"href":"https:\/\/www.lifescienceart.com\/tr\/wp-json\/wp\/v2\/media?parent=4170"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lifescienceart.com\/tr\/wp-json\/wp\/v2\/categories?post=4170"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lifescienceart.com\/tr\/wp-json\/wp\/v2\/tags?post=4170"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}