{"id":6740,"date":"2025-12-11T11:07:34","date_gmt":"2025-12-11T10:07:34","guid":{"rendered":"https:\/\/ist.blogs.inrae.fr\/afs\/?p=6740"},"modified":"2025-12-11T11:07:34","modified_gmt":"2025-12-11T10:07:34","slug":"rapid-assessment-of-forest-area-and-volume-impacted-by-the-2025-fires-in-aude-france","status":"publish","type":"post","link":"https:\/\/ist.blogs.inrae.fr\/afs\/2025\/12\/11\/rapid-assessment-of-forest-area-and-volume-impacted-by-the-2025-fires-in-aude-france\/","title":{"rendered":"Rapid assessment of forest area and volume impacted by the 2025 fires in Aude, France"},"content":{"rendered":"<script type='text\/javascript' src='https:\/\/d1bxh8uas1mnw7.cloudfront.net\/assets\/embed.js'><\/script><p><strong><a href=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2025\/12\/25-12-11_Massey-A.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-6741 alignright\" src=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2025\/12\/25-12-11_Massey-A-300x166.png\" alt=\"\" width=\"300\" height=\"166\" srcset=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2025\/12\/25-12-11_Massey-A-300x166.png 300w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2025\/12\/25-12-11_Massey-A-640x355.png 640w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2025\/12\/25-12-11_Massey-A.png 685w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>Key message\u00a0<\/strong><\/p>\n<p align=\"justify\">Although forest disturbances occur unpredictably, existing monitoring infrastructures can enable rapid, low-cost assessments. By combining national forest inventory data, canopy height models, and freely available satellite imagery, disturbance extent and forest attributes can be estimated without costly ad-hoc campaigns. Applied to the 2025 wildfires in Southwestern France (June\u2013August), this approach estimated 14,000\u00a0ha burned, affecting 143,000\u00a0m<sup>3<\/sup>\u00a0(\u00b148,000\u00a0m<sup>3<\/sup>) of productive timber. This report demonstrated the ability to deliver results within three weeks of the last fire, with even faster reporting possible for future events.<\/p>\n<p><strong>Keywords\u00a0<\/strong><br \/>\nForest fire monitoring; Remote sensing; Model-assisted estimation; National forest inventory<\/p>\n<div class='altmetric-embed' data-badge-type='donut' data-doi='10.1186\/s13595-025-01316-4'  style='float: right; ' ><\/div>\n<p><strong>Publication<\/strong><br \/>\nMassey, A., Vega, C. Rapid assessment of forest area and volume impacted by the 2025 fires in Aude, France.\u00a0<i>Annals of Forest Science<\/i>\u00a082, 45 (2025). <a href=\"https:\/\/doi.org\/10.1186\/s13595-025-01316-4\">https:\/\/doi.org\/10.1186\/s13595-025-01316-4<\/a><\/p>\n<p><strong>Data availability\/Code availability<\/strong><br \/>\nThe data and code in R that support the findings of this study are available online (<a href=\"https:\/\/doi.org\/10.5281\/zenodo.17423416\">https:\/\/doi.org\/10.5281\/zenodo.17423416<\/a>).<\/p>\n<p><strong>Handling editor<\/strong><br \/>\nErwin Dreyer<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Key message\u00a0 Although forest disturbances occur unpredictably, existing monitoring infrastructures can enable rapid, low-cost assessments. By combining national forest inventory data, canopy height models, and freely available satellite imagery, disturbance extent and forest attributes can be estimated without costly ad-hoc campaigns. Applied to the 2025 wildfires in Southwestern France (June\u2013August), this approach estimated 14,000\u00a0ha burned, [&hellip;]<\/p>\n","protected":false},"author":240,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14,123,1,109],"tags":[],"class_list":["post-6740","post","type-post","status-publish","format-standard","hentry","category-article-type","category-case-report","category-non-classe","category-open-access","cat-14-id","cat-123-id","cat-1-id","cat-109-id"],"_links":{"self":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/6740","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/users\/240"}],"replies":[{"embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/comments?post=6740"}],"version-history":[{"count":1,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/6740\/revisions"}],"predecessor-version":[{"id":6742,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/6740\/revisions\/6742"}],"wp:attachment":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/media?parent=6740"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/categories?post=6740"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/tags?post=6740"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}