{"id":7114,"date":"2026-10-16T16:24:22","date_gmt":"2026-10-16T14:24:22","guid":{"rendered":"https:\/\/ist.blogs.inrae.fr\/afs\/?p=7114"},"modified":"2026-10-14T09:48:00","modified_gmt":"2026-10-14T07:48:00","slug":"leveraging-gedi-and-nfi-to-inform-on-forest-productivity-at-the-level-of-the-management-units","status":"publish","type":"post","link":"https:\/\/ist.blogs.inrae.fr\/afs\/2026\/10\/16\/leveraging-gedi-and-nfi-to-inform-on-forest-productivity-at-the-level-of-the-management-units\/","title":{"rendered":"Leveraging GEDI and NFI to inform on forest productivity at the level of the management units"},"content":{"rendered":"<script type='text\/javascript' src='https:\/\/d1bxh8uas1mnw7.cloudfront.net\/assets\/embed.js'><\/script><p><span style=\"color: #0d5c06\"><span style=\"font-size: 13.3333px\"><b><a href=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2026\/10\/13595_2026_1358_Fig1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-7117 alignright\" src=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2026\/10\/13595_2026_1358_Fig1-300x190.png\" alt=\"\" width=\"300\" height=\"190\" srcset=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2026\/10\/13595_2026_1358_Fig1-300x190.png 300w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2026\/10\/13595_2026_1358_Fig1-1024x649.png 1024w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2026\/10\/13595_2026_1358_Fig1-768x487.png 768w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2026\/10\/13595_2026_1358_Fig1-640x406.png 640w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2026\/10\/13595_2026_1358_Fig1.png 1136w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>Research paper<\/b><\/span><\/span><\/p>\n<p><strong>Key message<\/strong><\/p>\n<p align=\"justify\">The integration of national forest inventory data with spaceborne remote sensing data from the Global Ecosystem Dynamics Investigation (GEDI) improves the precision of forest productivity estimates in small domains via area-level Fay-Herriot models. Despite sparse spatial coverage, GEDI data enhance the reliability of localized estimates at finer spatial and temporal resolutions, thus supporting improved forest management and decision-making.<\/p>\n<section class=\"c-article-recommendations\" aria-labelledby=\"inline-recommendations\" data-title=\"Inline Recommendations\" data-track-component=\"inline-recommendations\"><\/section>\n<section class=\"c-article-recommendations\" aria-labelledby=\"inline-recommendations\" data-title=\"Inline Recommendations\" data-track-component=\"inline-recommendations\"><\/section>\n<p><strong>Keywords<br \/>\n<\/strong>Small area estimation; Fay-Herriot; Forest monitoring; Spaceborne lidar; Multisource forest inventory; Forest management<\/p>\n<div class='altmetric-embed' data-badge-type='donut' data-doi='10.1186\/s13595-026-01358-2'  style='float: right; ' ><\/div>\n<p><strong>Publication<br \/>\n<\/strong>Onwunji, I., Vega, C., Durrieu, S.\u00a0<i>et al.<\/i>\u00a0Leveraging GEDI and NFI to inform on forest productivity at the level of the management units.\u00a0<i>Annals of Forest Science<\/i>\u00a0<b>83<\/b>, 46 (2026). <a href=\"https:\/\/doi.org\/10.1186\/s13595-026-01358-2\">https:\/\/doi.org\/10.1186\/s13595-026-01358-2<\/a><\/p>\n<p><strong>Handling editor<br \/>\n<\/strong>Shengli Tao<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Research paper Key message The integration of national forest inventory data with spaceborne remote sensing data from the Global Ecosystem Dynamics Investigation (GEDI) improves the precision of forest productivity estimates in small domains via area-level Fay-Herriot models. Despite sparse spatial coverage, GEDI data enhance the reliability of localized estimates at finer spatial and temporal resolutions, [&hellip;]<\/p>\n","protected":false},"author":240,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14,1,109,15],"tags":[],"class_list":["post-7114","post","type-post","status-publish","format-standard","hentry","category-article-type","category-non-classe","category-open-access","category-research-paper","cat-14-id","cat-1-id","cat-109-id","cat-15-id"],"_links":{"self":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/7114","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=7114"}],"version-history":[{"count":2,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/7114\/revisions"}],"predecessor-version":[{"id":7118,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/7114\/revisions\/7118"}],"wp:attachment":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/media?parent=7114"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/categories?post=7114"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/tags?post=7114"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}