{"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":"approche-de-fusion-de-donnees-de-teledetection-pour-surveiller-la-degradation-des-forets","status":"publish","type":"post","link":"https:\/\/geopard.tech\/fr\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/","title":{"rendered":"Approche de fusion de donn\u00e9es de t\u00e9l\u00e9d\u00e9tection pour surveiller la d\u00e9gradation des for\u00eats : une nouvelle \u00e9tude"},"content":{"rendered":"<p>Face aux changements climatiques mondiaux et \u00e0 l&#039;intensification des activit\u00e9s humaines, les for\u00eats du monde entier sont menac\u00e9es par divers ravageurs, agents pathog\u00e8nes et maladies. Ces menaces compromettent la sant\u00e9, la r\u00e9silience et la productivit\u00e9 des for\u00eats naturelles et des plantations foresti\u00e8res.<\/p>\n<p>La gestion efficace de ces probl\u00e8mes exige une d\u00e9tection et une intervention pr\u00e9coces, ce qui s&#039;av\u00e8re complexe sur de vastes \u00e9tendues. Conscients de l&#039;importance de cette question, les chercheurs ont mis au point de nouvelles technologies, bas\u00e9es sur les donn\u00e9es d&#039;observation de la Terre, pour surveiller et g\u00e9rer la d\u00e9gradation des for\u00eats.<\/p>\n<p>Une \u00e9tude r\u00e9cente pr\u00e9sente une approche d&#039;apprentissage automatique pour identifier les for\u00eats endommag\u00e9es \u00e0 partir d&#039;images de t\u00e9l\u00e9d\u00e9tection open source de Sentinel-2, compl\u00e9t\u00e9es par des donn\u00e9es de Google Earth. Cette approche cible sp\u00e9cifiquement les for\u00eats bor\u00e9ales touch\u00e9es par le scolyte Polygraphus proximus Blandford.<\/p>\n<p>L&#039;\u00e9tude a combin\u00e9 l&#039;imagerie par t\u00e9l\u00e9d\u00e9tection et des algorithmes d&#039;apprentissage automatique pour d\u00e9tecter et \u00e9valuer les dommages caus\u00e9s aux for\u00eats. Voici un bref r\u00e9sum\u00e9 de leur m\u00e9thodologie et de leurs conclusions\u00a0:<\/p>\n<ul>\n<li><strong>Annotation d&#039;images et d\u00e9veloppement d&#039;algorithmes\u00a0:<\/strong> Les chercheurs ont commenc\u00e9 par annoter les images disponibles sur Google Earth selon les canaux correspondant \u00e0 la perception naturelle des couleurs (rouge, vert et bleu). Ils ont ensuite appliqu\u00e9 des r\u00e9seaux neuronaux profonds \u00e0 deux formulations de probl\u00e8mes\u00a0: la segmentation s\u00e9mantique et la d\u00e9tection.<\/li>\n<li><strong>R\u00e9sultats exp\u00e9rimentaux\u00a0:<\/strong> Gr\u00e2ce \u00e0 leurs exp\u00e9riences, les chercheurs ont mis au point un mod\u00e8le qui \u00e9value quantitativement et avec une grande pr\u00e9cision les changements affectant les objets cibles. Ce mod\u00e8le a obtenu un score F1 de 84,561, permettant de d\u00e9terminer efficacement le nombre d&#039;arbres endommag\u00e9s et d&#039;estimer les superficies occup\u00e9es par les peuplements d\u00e9p\u00e9rissants.<\/li>\n<li><strong>Int\u00e9gration avec les images Sentinel-2\u00a0:<\/strong> Les masques de dommages obtenus \u00e0 partir des images haute r\u00e9solution ont \u00e9t\u00e9 int\u00e9gr\u00e9s aux images Sentinel-2 de r\u00e9solution moyenne. Cette int\u00e9gration a permis d&#039;atteindre une pr\u00e9cision de 81,26%, rendant la solution adapt\u00e9e aux syst\u00e8mes de surveillance op\u00e9rationnelle. Cette avanc\u00e9e offre une m\u00e9thode rapide et \u00e9conomique pour identifier les for\u00eats endommag\u00e9es dans la r\u00e9gion.<\/li>\n<li><strong>Ensemble de donn\u00e9es annot\u00e9es unique\u00a0:<\/strong> De plus, les chercheurs ont constitu\u00e9 un ensemble de donn\u00e9es annot\u00e9es unique afin d&#039;identifier les zones foresti\u00e8res endommag\u00e9es par le col\u00e9opt\u00e8re polygraphe dans la r\u00e9gion \u00e9tudi\u00e9e. Cet ensemble de donn\u00e9es est pr\u00e9cieux pour les recherches et les efforts de surveillance futurs.<\/li>\n<\/ul>\n<p>La d\u00e9tection pr\u00e9coce et la quantification de la d\u00e9gradation des for\u00eats gr\u00e2ce \u00e0 cette approche de fusion de donn\u00e9es de t\u00e9l\u00e9d\u00e9tection offrent des perspectives prometteuses pour les strat\u00e9gies de gestion et de conservation des for\u00eats. En permettant une intervention rapide, ces technologies peuvent contribuer \u00e0 limiter la propagation des dommages et \u00e0 soutenir des pratiques de gestion durable des for\u00eats.<\/p>\n<p>Bien que l&#039;article complet d\u00e9taillant cette recherche n&#039;ait pas encore \u00e9t\u00e9 publi\u00e9, ce r\u00e9sum\u00e9 pr\u00e9liminaire met en lumi\u00e8re le potentiel de l&#039;int\u00e9gration des donn\u00e9es de t\u00e9l\u00e9d\u00e9tection aux techniques d&#039;apprentissage automatique avanc\u00e9es pour r\u00e9pondre au probl\u00e8me urgent de la d\u00e9gradation des for\u00eats. \u00c0 mesure que ces technologies \u00e9voluent, elles joueront un r\u00f4le crucial dans la protection de nos for\u00eats face aux menaces croissantes que repr\u00e9sentent les changements climatiques et les activit\u00e9s humaines.<\/p>\n<p>Restez \u00e0 l&#039;\u00e9coute pour la publication compl\u00e8te de cette recherche novatrice, qui apportera sans aucun doute de nouvelles perspectives et applications dans le domaine de la gestion foresti\u00e8re.<\/p>\n<p><strong>Source<\/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>Face aux changements climatiques mondiaux et \u00e0 l&#039;intensification des activit\u00e9s humaines, les for\u00eats du monde entier sont menac\u00e9es par divers ravageurs, agents pathog\u00e8nes et maladies. Ces\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_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_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 v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Remote Sensing Data Fusion Approach To Monitor Forest Degradation: A New Study - GeoPard<\/title>\n<meta name=\"description\" content=\"A recent study introduces a machine learning-based approach for identifying damaged forests using remote sensing images from Sentinel-2.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/geopard.tech\/fr\/blog\/approche-de-fusion-de-donnees-de-teledetection-pour-surveiller-la-degradation-des-forets\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Remote Sensing Data Fusion Approach To Monitor Forest Degradation: A New Study - GeoPard\" \/>\n<meta property=\"og:description\" content=\"A recent study introduces a machine learning-based approach for identifying damaged forests using remote sensing images from Sentinel-2.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/geopard.tech\/fr\/blog\/approche-de-fusion-de-donnees-de-teledetection-pour-surveiller-la-degradation-des-forets\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - Precision agriculture Mapping software\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/geopardAgriculture\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-07-06T18:36:51+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/geopard.tech\/wp-content\/uploads\/2024\/07\/Remote-Sensing-Data-Fusion-Approach-To-Monitor-Forest-Degradation.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"dementievgeopard\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@geopardagri\" \/>\n<meta name=\"twitter:site\" content=\"@geopardagri\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"dementievgeopard\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/\"},\"author\":{\"name\":\"dementievgeopard\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#\\\/schema\\\/person\\\/dd217733c742620adc57befbbcd84a8a\"},\"headline\":\"Remote Sensing Data Fusion Approach To Monitor Forest Degradation: A New Study\",\"datePublished\":\"2024-07-06T18:36:51+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/\"},\"wordCount\":458,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2024\\\/07\\\/Remote-Sensing-Data-Fusion-Approach-To-Monitor-Forest-Degradation.png?fit=1920%2C1080&ssl=1\",\"articleSection\":[\"Remote Sensing\"],\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/\",\"url\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/\",\"name\":\"Remote Sensing Data Fusion Approach To Monitor Forest Degradation: A New Study - GeoPard\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2024\\\/07\\\/Remote-Sensing-Data-Fusion-Approach-To-Monitor-Forest-Degradation.png?fit=1920%2C1080&ssl=1\",\"datePublished\":\"2024-07-06T18:36:51+00:00\",\"description\":\"A recent study introduces a machine learning-based approach for identifying damaged forests using remote sensing images from Sentinel-2.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/#primaryimage\",\"url\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2024\\\/07\\\/Remote-Sensing-Data-Fusion-Approach-To-Monitor-Forest-Degradation.png?fit=1920%2C1080&ssl=1\",\"contentUrl\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2024\\\/07\\\/Remote-Sensing-Data-Fusion-Approach-To-Monitor-Forest-Degradation.png?fit=1920%2C1080&ssl=1\",\"width\":1920,\"height\":1080,\"caption\":\"Remote Sensing Data Fusion Approach To Monitor Forest Degradation\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/geopard.tech\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Remote Sensing Data Fusion Approach To Monitor Forest Degradation: A New Study\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#website\",\"url\":\"https:\\\/\\\/geopard.tech\\\/\",\"name\":\"GeoPard - Precision agriculture software\",\"description\":\"Precision agriculture Mapping software\",\"publisher\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/#organization\"},\"alternateName\":\"GeoPard\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/geopard.tech\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#organization\",\"name\":\"GeoPard Agriculture\",\"alternateName\":\"GeoPard\",\"url\":\"https:\\\/\\\/geopard.tech\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/geopard_logo_transparentbackground.png?fit=512%2C68&ssl=1\",\"contentUrl\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/geopard_logo_transparentbackground.png?fit=512%2C68&ssl=1\",\"width\":512,\"height\":68,\"caption\":\"GeoPard Agriculture\"},\"image\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/geopardAgriculture\\\/\",\"https:\\\/\\\/x.com\\\/geopardagri\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/geopard-agriculture\\\/\",\"https:\\\/\\\/www.instagram.com\\\/geopardagriculture\\\/\",\"https:\\\/\\\/www.youtube.com\\\/channel\\\/UCiaPGLAhRPNh-s85dXdC-Sw\",\"https:\\\/\\\/www.g2.com\\\/products\\\/geopard-agriculture-precision-farming-software\\\/reviews\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#\\\/schema\\\/person\\\/dd217733c742620adc57befbbcd84a8a\",\"name\":\"dementievgeopard\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7c09adac9c20b00454199df5a41ea67c812a6c97e948bf109899836ddde31354?s=96&d=identicon&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7c09adac9c20b00454199df5a41ea67c812a6c97e948bf109899836ddde31354?s=96&d=identicon&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7c09adac9c20b00454199df5a41ea67c812a6c97e948bf109899836ddde31354?s=96&d=identicon&r=g\",\"caption\":\"dementievgeopard\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Fusion de donn\u00e9es de t\u00e9l\u00e9d\u00e9tection pour le suivi de la d\u00e9gradation des for\u00eats\u00a0: une nouvelle \u00e9tude - GeoPard","description":"Une \u00e9tude r\u00e9cente pr\u00e9sente une approche bas\u00e9e sur l&#039;apprentissage automatique pour identifier les for\u00eats endommag\u00e9es \u00e0 l&#039;aide d&#039;images de t\u00e9l\u00e9d\u00e9tection de Sentinel-2.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/geopard.tech\/fr\/blog\/approche-de-fusion-de-donnees-de-teledetection-pour-surveiller-la-degradation-des-forets\/","og_locale":"fr_FR","og_type":"article","og_title":"Remote Sensing Data Fusion Approach To Monitor Forest Degradation: A New Study - GeoPard","og_description":"A recent study introduces a machine learning-based approach for identifying damaged forests using remote sensing images from Sentinel-2.","og_url":"https:\/\/geopard.tech\/fr\/blog\/approche-de-fusion-de-donnees-de-teledetection-pour-surveiller-la-degradation-des-forets\/","og_site_name":"GeoPard - Precision agriculture Mapping software","article_publisher":"https:\/\/www.facebook.com\/geopardAgriculture\/","article_published_time":"2024-07-06T18:36:51+00:00","og_image":[{"width":1920,"height":1080,"url":"https:\/\/geopard.tech\/wp-content\/uploads\/2024\/07\/Remote-Sensing-Data-Fusion-Approach-To-Monitor-Forest-Degradation.png","type":"image\/png"}],"author":"dementievgeopard","twitter_card":"summary_large_image","twitter_creator":"@geopardagri","twitter_site":"@geopardagri","twitter_misc":{"\u00c9crit par":"dementievgeopard","Dur\u00e9e de lecture estim\u00e9e":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/#article","isPartOf":{"@id":"https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/"},"author":{"name":"dementievgeopard","@id":"https:\/\/geopard.tech\/#\/schema\/person\/dd217733c742620adc57befbbcd84a8a"},"headline":"Remote Sensing Data Fusion Approach To Monitor Forest Degradation: A New Study","datePublished":"2024-07-06T18:36:51+00:00","mainEntityOfPage":{"@id":"https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/"},"wordCount":458,"commentCount":0,"publisher":{"@id":"https:\/\/geopard.tech\/#organization"},"image":{"@id":"https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/#primaryimage"},"thumbnailUrl":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Remote-Sensing-Data-Fusion-Approach-To-Monitor-Forest-Degradation.png?fit=1920%2C1080&ssl=1","articleSection":["Remote Sensing"],"inLanguage":"fr-FR","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/","url":"https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/","name":"Fusion de donn\u00e9es de t\u00e9l\u00e9d\u00e9tection pour le suivi de la d\u00e9gradation des for\u00eats\u00a0: une nouvelle \u00e9tude - GeoPard","isPartOf":{"@id":"https:\/\/geopard.tech\/#website"},"primaryImageOfPage":{"@id":"https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/#primaryimage"},"image":{"@id":"https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/#primaryimage"},"thumbnailUrl":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Remote-Sensing-Data-Fusion-Approach-To-Monitor-Forest-Degradation.png?fit=1920%2C1080&ssl=1","datePublished":"2024-07-06T18:36:51+00:00","description":"Une \u00e9tude r\u00e9cente pr\u00e9sente une approche bas\u00e9e sur l&#039;apprentissage automatique pour identifier les for\u00eats endommag\u00e9es \u00e0 l&#039;aide d&#039;images de t\u00e9l\u00e9d\u00e9tection de Sentinel-2.","breadcrumb":{"@id":"https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/#primaryimage","url":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Remote-Sensing-Data-Fusion-Approach-To-Monitor-Forest-Degradation.png?fit=1920%2C1080&ssl=1","contentUrl":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Remote-Sensing-Data-Fusion-Approach-To-Monitor-Forest-Degradation.png?fit=1920%2C1080&ssl=1","width":1920,"height":1080,"caption":"Remote Sensing Data Fusion Approach To Monitor Forest Degradation"},{"@type":"BreadcrumbList","@id":"https:\/\/geopard.tech\/blog\/remote-sensing-data-fusion-approach-to-monitor-forest-degradation\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/geopard.tech\/"},{"@type":"ListItem","position":2,"name":"Remote Sensing Data Fusion Approach To Monitor Forest Degradation: A New Study"}]},{"@type":"WebSite","@id":"https:\/\/geopard.tech\/#website","url":"https:\/\/geopard.tech\/","name":"GeoPard - Logiciel d'agriculture de pr\u00e9cision","description":"Logiciel de cartographie pour l'agriculture de pr\u00e9cision","publisher":{"@id":"https:\/\/geopard.tech\/#organization"},"alternateName":"GeoPard","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/geopard.tech\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"},{"@type":"Organization","@id":"https:\/\/geopard.tech\/#organization","name":"GeoPard Agriculture","alternateName":"GeoPard","url":"https:\/\/geopard.tech\/","logo":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/geopard.tech\/#\/schema\/logo\/image\/","url":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2026\/07\/geopard_logo_transparentbackground.png?fit=512%2C68&ssl=1","contentUrl":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2026\/07\/geopard_logo_transparentbackground.png?fit=512%2C68&ssl=1","width":512,"height":68,"caption":"GeoPard Agriculture"},"image":{"@id":"https:\/\/geopard.tech\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/geopardAgriculture\/","https:\/\/x.com\/geopardagri","https:\/\/www.linkedin.com\/company\/geopard-agriculture\/","https:\/\/www.instagram.com\/geopardagriculture\/","https:\/\/www.youtube.com\/channel\/UCiaPGLAhRPNh-s85dXdC-Sw","https:\/\/www.g2.com\/products\/geopard-agriculture-precision-farming-software\/reviews"]},{"@type":"Person","@id":"https:\/\/geopard.tech\/#\/schema\/person\/dd217733c742620adc57befbbcd84a8a","name":"l'ours d\u00e9mentiel","image":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/secure.gravatar.com\/avatar\/7c09adac9c20b00454199df5a41ea67c812a6c97e948bf109899836ddde31354?s=96&d=identicon&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/7c09adac9c20b00454199df5a41ea67c812a6c97e948bf109899836ddde31354?s=96&d=identicon&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/7c09adac9c20b00454199df5a41ea67c812a6c97e948bf109899836ddde31354?s=96&d=identicon&r=g","caption":"dementievgeopard"}}]}},"jetpack_publicize_connections":[],"jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/pdiCPa-2L7","jetpack_featured_media_url":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Remote-Sensing-Data-Fusion-Approach-To-Monitor-Forest-Degradation.png?fit=1920%2C1080&ssl=1","_links":{"self":[{"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/posts\/10609","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/users\/210157960"}],"replies":[{"embeddable":true,"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/comments?post=10609"}],"version-history":[{"count":0,"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/posts\/10609\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/media\/10612"}],"wp:attachment":[{"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/media?parent=10609"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/categories?post=10609"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/tags?post=10609"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}