{"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":"abordagem-de-fusao-de-dados-de-sensoriamento-remoto-para-monitorar-a-degradacao-florestal","status":"publish","type":"post","link":"https:\/\/geopard.tech\/pt-br\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/","title":{"rendered":"Abordagem de fus\u00e3o de dados de sensoriamento remoto para monitorar a degrada\u00e7\u00e3o florestal: um novo estudo"},"content":{"rendered":"<p>Diante das mudan\u00e7as clim\u00e1ticas globais e do aumento das atividades humanas, as florestas em todo o mundo est\u00e3o amea\u00e7adas por diversas pragas, pat\u00f3genos e doen\u00e7as. Essas amea\u00e7as comprometem a sa\u00fade, a resili\u00eancia e a produtividade tanto das florestas naturais quanto das planta\u00e7\u00f5es florestais.<\/p>\n<p>Gerenciar esses problemas de forma eficaz exige detec\u00e7\u00e3o e a\u00e7\u00e3o precoces, o que \u00e9 um desafio em grandes \u00e1reas. Reconhecendo a import\u00e2ncia disso, pesquisadores desenvolveram novas tecnologias baseadas em dados de observa\u00e7\u00e3o da Terra para monitorar e gerenciar a degrada\u00e7\u00e3o florestal.<\/p>\n<p>Um estudo recente apresenta uma abordagem baseada em aprendizado de m\u00e1quina para identificar florestas danificadas usando imagens de sensoriamento remoto de c\u00f3digo aberto do Sentinel-2, complementadas por dados do Google Earth. Essa abordagem se concentra especificamente em florestas boreais afetadas pelo besouro da casca, Polygraphus proximus Blandford.<\/p>\n<p>O estudo utilizou uma combina\u00e7\u00e3o de imagens de sensoriamento remoto e algoritmos de aprendizado de m\u00e1quina para detectar e avaliar danos florestais. Segue um breve resumo da metodologia e das conclus\u00f5es:<\/p>\n<ul>\n<li><strong>Anota\u00e7\u00e3o de imagens e desenvolvimento de algoritmos:<\/strong> Os pesquisadores come\u00e7aram anotando imagens em canais que correspondem \u00e0 percep\u00e7\u00e3o natural de cores (vermelho, verde e azul) dispon\u00edveis no Google Earth. Em seguida, aplicaram redes neurais profundas em duas formula\u00e7\u00f5es de problemas: segmenta\u00e7\u00e3o sem\u00e2ntica e detec\u00e7\u00e3o.<\/li>\n<li><strong>Resultados experimentais:<\/strong> Por meio de seus experimentos, os pesquisadores desenvolveram um modelo que avalia quantitativamente as mudan\u00e7as em objetos-alvo com alta precis\u00e3o. O modelo alcan\u00e7ou uma pontua\u00e7\u00e3o F1 de 84,56%, determinando com efic\u00e1cia o n\u00famero de \u00e1rvores danificadas e estimando as \u00e1reas ocupadas por povoamentos secos.<\/li>\n<li><strong>Integra\u00e7\u00e3o com imagens Sentinel-2:<\/strong> As m\u00e1scaras de danos obtidas a partir de imagens de alta resolu\u00e7\u00e3o foram integradas com imagens Sentinel-2 de resolu\u00e7\u00e3o m\u00e9dia. Essa integra\u00e7\u00e3o alcan\u00e7ou uma precis\u00e3o de 81,26%, tornando a solu\u00e7\u00e3o adequada para sistemas de monitoramento operacional. Esse avan\u00e7o oferece um m\u00e9todo r\u00e1pido e econ\u00f4mico para o reconhecimento de florestas danificadas na regi\u00e3o.<\/li>\n<li><strong>Conjunto de dados anotado exclusivo:<\/strong> Al\u00e9m disso, os pesquisadores compilaram um conjunto de dados anotados exclusivo para identificar \u00e1reas florestais danificadas pelo besouro pol\u00edgrafo na regi\u00e3o de estudo. Esse conjunto de dados \u00e9 inestim\u00e1vel para futuras pesquisas e esfor\u00e7os de monitoramento.<\/li>\n<\/ul>\n<p>A detec\u00e7\u00e3o precoce e a quantifica\u00e7\u00e3o da degrada\u00e7\u00e3o florestal por meio dessa abordagem de fus\u00e3o de dados de sensoriamento remoto representam uma promessa significativa para o manejo florestal e as estrat\u00e9gias de conserva\u00e7\u00e3o. Ao possibilitar a\u00e7\u00f5es oportunas, essas tecnologias podem ajudar a limitar a propaga\u00e7\u00e3o dos danos e apoiar pr\u00e1ticas de manejo florestal sustent\u00e1vel.<\/p>\n<p>Embora o artigo completo detalhando esta pesquisa ainda n\u00e3o tenha sido publicado, este resumo preliminar destaca o potencial da integra\u00e7\u00e3o de dados de sensoriamento remoto com t\u00e9cnicas avan\u00e7adas de aprendizado de m\u00e1quina para abordar a quest\u00e3o premente da degrada\u00e7\u00e3o florestal. \u00c0 medida que essas tecnologias continuam a evoluir, elas desempenhar\u00e3o um papel crucial na prote\u00e7\u00e3o de nossas florestas contra as crescentes amea\u00e7as representadas pelas mudan\u00e7as clim\u00e1ticas e pelas atividades humanas.<\/p>\n<p>Fiquem atentos \u00e0 publica\u00e7\u00e3o completa desta pesquisa inovadora, que sem d\u00favida proporcionar\u00e1 mais informa\u00e7\u00f5es e aplica\u00e7\u00f5es na \u00e1rea de gest\u00e3o florestal.<\/p>\n<p><strong>Fonte<\/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>Diante das mudan\u00e7as clim\u00e1ticas globais e do aumento das atividades humanas, as florestas em todo o mundo est\u00e3o amea\u00e7adas por diversas pragas, pat\u00f3genos e doen\u00e7as. Estas\u2026<\/p>","protected":false},"author":210249433,"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":"","_crdt_document":"","content-type":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","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},"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 Premium plugin v21.6 (Yoast SEO v27.3) - 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