{"id":6179,"date":"2024-10-17T15:05:17","date_gmt":"2024-10-17T13:05:17","guid":{"rendered":"https:\/\/ist.blogs.inrae.fr\/afs\/?p=6179"},"modified":"2024-11-05T11:04:37","modified_gmt":"2024-11-05T10:04:37","slug":"band-configurations-and-seasonality-influence-the-predictions-of-common-boreal-tree-species-using-uas-image-data","status":"publish","type":"post","link":"https:\/\/ist.blogs.inrae.fr\/afs\/2024\/10\/17\/band-configurations-and-seasonality-influence-the-predictions-of-common-boreal-tree-species-using-uas-image-data\/","title":{"rendered":"Band configurations and seasonality influence the predictions of common boreal tree species using UAS image data"},"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\/2024\/10\/Kukkonen-AFS-e1729170033661.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-6172 alignleft\" src=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2024\/10\/Kukkonen-AFS-e1729170033661-300x247.jpg\" alt=\"\" width=\"300\" height=\"247\" srcset=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2024\/10\/Kukkonen-AFS-e1729170033661-300x247.jpg 300w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2024\/10\/Kukkonen-AFS-e1729170033661-768x631.jpg 768w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2024\/10\/Kukkonen-AFS-e1729170033661-640x526.jpg 640w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2024\/10\/Kukkonen-AFS-e1729170033661.jpg 876w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a> Key message<\/strong><\/p>\n<p align=\"justify\">Data acquisition of remote sensing products is an essential component of modern forest inventories. The quality and properties of optical remote sensing data are further emphasised in tree species-specific inventories, where the discrimination of different tree species is based on differences in their spectral properties. Furthermore, phenology affects the spectral properties of both evergreen and deciduous trees through seasons. These confounding factors in both sensor configuration and timing of data acquisition can result in unexpectedly complicated situations if not taken into consideration. This paper examines how the timing of data acquisition and sensor properties influence the prediction of tree species proportions and volumes in a boreal forest area dominated by Norway spruce and Scots pine, with a smaller presence of deciduous trees.<\/p>\n<p><strong>Keywords<\/strong><br \/>\nPhenology; Photogrammetry; Forest inventory; Drone; Tree species; Multispectral<\/p>\n<div class='altmetric-embed' data-badge-type='donut' data-doi='10.1186\/s13595-024-01251-w'  style='float: right; ' ><\/div>\n<p><strong>Publication<\/strong><br \/>\nKukkonen, M., Myllym\u00e4ki, M., R\u00e4ty, J. et al. Band configurations and seasonality influence the predictions of common boreal tree species using UAS image data. Annals of Forest Science 81, 31 (2024). <a href=\"https:\/\/doi.org\/10.1186\/s13595-024-01251-w\">https:\/\/doi.org\/10.1186\/s13595-024-01251-w<\/a><\/p>\n<p><strong>Data and\/or Code availability<\/strong><br \/>\nThe datasets generated during and\/or analysed during the current study are available from the corresponding author on reasonable request.<\/p>\n<p><strong>Handling Editor<\/strong><br \/>\nMatteo Vizzari<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Key message Data acquisition of remote sensing products is an essential component of modern forest inventories. The quality and properties of optical remote sensing data are further emphasised in tree species-specific inventories, where the discrimination of different tree species is based on differences in their spectral properties. Furthermore, phenology affects the spectral properties of both [&hellip;]<\/p>\n","protected":false},"author":109,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14,109,15],"tags":[],"class_list":["post-6179","post","type-post","status-publish","format-standard","hentry","category-article-type","category-open-access","category-research-paper","cat-14-id","cat-109-id","cat-15-id"],"_links":{"self":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/6179","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=6179"}],"version-history":[{"count":3,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/6179\/revisions"}],"predecessor-version":[{"id":6254,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/6179\/revisions\/6254"}],"wp:attachment":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/media?parent=6179"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/categories?post=6179"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/tags?post=6179"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}