{"id":6198,"date":"2024-10-24T11:46:24","date_gmt":"2024-10-24T09:46:24","guid":{"rendered":"https:\/\/ist.blogs.inrae.fr\/afs\/?p=6198"},"modified":"2024-11-05T11:02:03","modified_gmt":"2024-11-05T10:02:03","slug":"estimation-of-within-gap-regeneration-height-growth-in-managed-temperate-deciduous-forests-using-bi-temporal-airborne-laser-scanning-data","status":"publish","type":"post","link":"https:\/\/ist.blogs.inrae.fr\/afs\/2024\/10\/24\/estimation-of-within-gap-regeneration-height-growth-in-managed-temperate-deciduous-forests-using-bi-temporal-airborne-laser-scanning-data\/","title":{"rendered":"Estimation of within-gap regeneration height growth in managed temperate deciduous forests using bi-temporal airborne laser scanning data"},"content":{"rendered":"<script type='text\/javascript' src='https:\/\/d1bxh8uas1mnw7.cloudfront.net\/assets\/embed.js'><\/script><p><a href=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2024\/10\/Leclere-AFS.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-6197 alignleft\" src=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2024\/10\/Leclere-AFS-300x194.jpg\" alt=\"\" width=\"300\" height=\"194\" srcset=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2024\/10\/Leclere-AFS-300x194.jpg 300w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2024\/10\/Leclere-AFS-1024x661.jpg 1024w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2024\/10\/Leclere-AFS-768x495.jpg 768w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2024\/10\/Leclere-AFS-640x413.jpg 640w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2024\/10\/Leclere-AFS.jpg 1116w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><strong>Key message<\/strong><\/p>\n<p align=\"justify\">Multi-temporal airborne laser scanning (ALS) data were used to estimate regeneration stem height growth within gaps in uneven-aged deciduous forests. The height and height growth measured in the field were used to calibrate and validate ALS estimates. This method provided highly precise estimates of height and unbiased height increment estimates of regeneration at stem level.<\/p>\n<p><strong>Keywords<\/strong><br \/>\nALS; LiDAR; Regeneration; Oak-beech forests; Dynamics; Management<\/p>\n<div class='altmetric-embed' data-badge-type='donut' data-doi='10.1186\/s13595-024-01252-9'  style='float: right; ' ><\/div>\n<p><strong>Publication<\/strong><br \/>\nLecl\u00e8re, L., Latte, N., Candaele, R. et al. Estimation of within-gap regeneration height growth in managed temperate deciduous forests using bi-temporal airborne laser scanning data. Annals of Forest Science 81, 36 (2024). <a href=\"https:\/\/doi.org\/10.1186\/s13595-024-01252-9\">https:\/\/doi.org\/10.1186\/s13595-024-01252-9<\/a><\/p>\n<p><strong>Data and\/or Code availability<\/strong><br \/>\nThe datasets generated and analyzed during the current study are available on demand from the corresponding author.<br \/>\nThe code is available on demand from the corresponding author.<\/p>\n<p><strong>Handling Editor<\/strong><br \/>\nJohn M. Lhotka<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Key message Multi-temporal airborne laser scanning (ALS) data were used to estimate regeneration stem height growth within gaps in uneven-aged deciduous forests. The height and height growth measured in the field were used to calibrate and validate ALS estimates. This method provided highly precise estimates of height and unbiased height increment estimates of regeneration at [&hellip;]<\/p>\n","protected":false},"author":109,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14,110,109,15],"tags":[],"class_list":["post-6198","post","type-post","status-publish","format-standard","hentry","category-article-type","category-data-in-repository","category-open-access","category-research-paper","cat-14-id","cat-110-id","cat-109-id","cat-15-id"],"_links":{"self":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/6198","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\/109"}],"replies":[{"embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/comments?post=6198"}],"version-history":[{"count":5,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/6198\/revisions"}],"predecessor-version":[{"id":6250,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/6198\/revisions\/6250"}],"wp:attachment":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/media?parent=6198"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/categories?post=6198"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/tags?post=6198"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}