{"id":10609,"date":"2024-07-06T20:36:51","date_gmt":"2024-07-06T18:36:51","guid":{"rendered":"https:\/\/geopard.tech\/?p=10609"},"modified":"2024-07-06T20:36:51","modified_gmt":"2024-07-06T18:36:51","slug":"podejscie-oparte-na-fuzji-danych-teledetekcyjnych-do-monitorowania-degradacji-lasow","status":"publish","type":"post","link":"https:\/\/geopard.tech\/pl\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/","title":{"rendered":"Podej\u015bcie do fuzji danych teledetekcyjnych w celu monitorowania degradacji las\u00f3w: nowe badanie"},"content":{"rendered":"<p>W obliczu globalnych zmian klimatycznych i rosn\u0105cej aktywno\u015bci cz\u0142owieka, lasy na ca\u0142ym \u015bwiecie s\u0105 zagro\u017cone przez r\u00f3\u017cnorodne szkodniki, patogeny i choroby. Zagro\u017cenia te zagra\u017caj\u0105 zdrowiu, odporno\u015bci i produktywno\u015bci zar\u00f3wno las\u00f3w naturalnych, jak i plantacji le\u015bnych.<\/p>\n<p>Skuteczne zarz\u0105dzanie tymi problemami wymaga wczesnego wykrywania i dzia\u0142ania, co jest trudne na du\u017cych obszarach. Uznaj\u0105c wag\u0119 tego zagadnienia, naukowcy opracowali nowe technologie oparte na danych z obserwacji Ziemi, aby monitorowa\u0107 i zarz\u0105dza\u0107 degradacj\u0105 las\u00f3w.<\/p>\n<p>Niedawne badanie wprowadza oparte na uczeniu maszynowym podej\u015bcie do identyfikacji zniszczonych las\u00f3w z wykorzystaniem zdj\u0119\u0107 teledetekcyjnych z satelity Sentinel-2, opartych na otwartym kodzie \u017ar\u00f3d\u0142owym i danych z Google Earth. Podej\u015bcie to koncentruje si\u0119 w szczeg\u00f3lno\u015bci na lasach borealnych dotkni\u0119tych kornikiem, Polygraphus proximus Blandford.<\/p>\n<p>W badaniu wykorzystano po\u0142\u0105czenie obraz\u00f3w teledetekcyjnych i algorytm\u00f3w uczenia maszynowego do wykrywania i oceny szk\u00f3d w lasach. Oto kr\u00f3tkie podsumowanie ich metodologii i ustale\u0144:<\/p>\n<ul>\n<li><strong>Adnotacje obraz\u00f3w i rozw\u00f3j algorytm\u00f3w:<\/strong> Naukowcy rozpocz\u0119li od adnotacji obraz\u00f3w w kana\u0142ach odpowiadaj\u0105cych naturalnej percepcji kolor\u00f3w (czerwony, zielony i niebieski) dost\u0119pnej w Google Earth. Nast\u0119pnie zastosowali g\u0142\u0119bokie sieci neuronowe w dw\u00f3ch sformu\u0142owaniach problemu: segmentacji semantycznej i detekcji.<\/li>\n<li><strong>Wyniki eksperyment\u00f3w:<\/strong> W wyniku eksperyment\u00f3w naukowcy opracowali model, kt\u00f3ry ilo\u015bciowo ocenia zmiany w obiektach docelowych z wysok\u0105 dok\u0142adno\u015bci\u0105. Model uzyska\u0142 wynik 84,56% F1, skutecznie okre\u015blaj\u0105c liczb\u0119 uszkodzonych drzew i szacuj\u0105c powierzchnie zajmowane przez uschni\u0119te drzewostany.<\/li>\n<li><strong>Integracja z obrazami Sentinel-2:<\/strong> Maski uszkodze\u0144 uzyskane z obraz\u00f3w o wysokiej rozdzielczo\u015bci zintegrowano z obrazami Sentinel-2 o \u015bredniej rozdzielczo\u015bci. Integracja ta pozwoli\u0142a uzyska\u0107 dok\u0142adno\u015b\u0107 81,26%, co czyni rozwi\u0105zanie odpowiednim dla system\u00f3w monitoringu operacyjnego. Ten post\u0119p oferuje szybk\u0105 i ekonomiczn\u0105 metod\u0119 rozpoznawania uszkodzonych las\u00f3w w regionie.<\/li>\n<li><strong>Unikalny zestaw danych z adnotacjami:<\/strong> Ponadto naukowcy opracowali unikalny, opatrzony adnotacjami zestaw danych, aby zidentyfikowa\u0107 obszary le\u015bne uszkodzone przez kornika poligraficznego w badanym regionie. Ten zestaw danych jest nieoceniony dla przysz\u0142ych bada\u0144 i dzia\u0142a\u0144 monitoruj\u0105cych.<\/li>\n<\/ul>\n<p>Wczesne wykrywanie i kwantyfikacja degradacji las\u00f3w za pomoc\u0105 metody \u0142\u0105czenia danych teledetekcyjnych stwarzaj\u0105 du\u017ce nadzieje dla strategii zarz\u0105dzania lasami i ich ochrony. Umo\u017cliwiaj\u0105c podejmowanie szybkich dzia\u0142a\u0144, technologie te mog\u0105 pom\u00f3c ograniczy\u0107 rozprzestrzenianie si\u0119 szk\u00f3d i wspiera\u0107 zr\u00f3wnowa\u017cone praktyki gospodarki le\u015bnej.<\/p>\n<p>Chocia\u017c pe\u0142na publikacja szczeg\u00f3\u0142owo opisuj\u0105ca te badania nie zosta\u0142a jeszcze opublikowana, to wst\u0119pne streszczenie podkre\u015bla potencja\u0142 integracji danych teledetekcyjnych z zaawansowanymi technikami uczenia maszynowego w celu rozwi\u0105zania pal\u0105cego problemu degradacji las\u00f3w. W miar\u0119 rozwoju tych technologii, b\u0119d\u0105 one odgrywa\u0107 kluczow\u0105 rol\u0119 w ochronie naszych las\u00f3w przed rosn\u0105cymi zagro\u017ceniami wynikaj\u0105cymi ze zmian klimatu i dzia\u0142alno\u015bci cz\u0142owieka.<\/p>\n<p>Zapraszamy do zapoznania si\u0119 z pe\u0142n\u0105 publikacj\u0105 tych prze\u0142omowych bada\u0144, kt\u00f3re niew\u0105tpliwie dostarcz\u0105 dalszych spostrze\u017ce\u0144 i zastosowa\u0144 w dziedzinie zarz\u0105dzania lasami.<\/p>\n<p><strong>\u0179r\u00f3d\u0142o<\/strong>: <a href=\"https:\/\/www.frontiersin.org\/journals\/environmental-science\/articles\/10.3389\/fenvs.2024.1412870\/abstract\" rel=\"nofollow\">https:\/\/www.frontiersin.org\/journals\/environmental-science\/articles\/10.3389\/fenvs.2024.1412870\/abstract<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>W obliczu globalnej zmiany klimatu i rosn\u0105cej aktywno\u015bci cz\u0142owieka, lasy na ca\u0142ym \u015bwiecie s\u0105 zagro\u017cone przez r\u00f3\u017cnorodne szkodniki, patogeny i choroby. Te\u2026<\/p>","protected":false},"author":210157960,"featured_media":10612,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1378],"tags":[],"class_list":["post-10609","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-remote-sensing"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - 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