{"id":4415,"date":"2020-09-01T12:00:06","date_gmt":"2020-09-01T10:00:06","guid":{"rendered":"https:\/\/ist.blogs.inrae.fr\/afs\/?p=4415"},"modified":"2020-09-01T10:25:28","modified_gmt":"2020-09-01T08:25:28","slug":"evaluating-the-accuracy-of-als-based-removal-estimates-against-actual-logging-data","status":"publish","type":"post","link":"https:\/\/ist.blogs.inrae.fr\/afs\/2020\/09\/01\/evaluating-the-accuracy-of-als-based-removal-estimates-against-actual-logging-data\/","title":{"rendered":"Evaluating the accuracy of ALS-based removal estimates against actual logging 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\/2020\/09\/V\u00e4h\u00e4-Konka2020.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-4418 alignleft\" src=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2020\/09\/V\u00e4h\u00e4-Konka2020-245x300.png\" alt=\"\" width=\"245\" height=\"300\" srcset=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2020\/09\/V\u00e4h\u00e4-Konka2020-245x300.png 245w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2020\/09\/V\u00e4h\u00e4-Konka2020-768x939.png 768w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2020\/09\/V\u00e4h\u00e4-Konka2020-640x783.png 640w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2020\/09\/V\u00e4h\u00e4-Konka2020.png 780w\" sizes=\"auto, (max-width: 245px) 100vw, 245px\" \/><\/a>Key message<\/strong><\/p>\n<p style=\"text-align: left\" align=\"justify\">We examined the accuracy of the stand attribute data based on airborne laser scanning (ALS) provided by the Finnish Forest Centre. The precision of forest inventory data was compared for the first time with operative logging data measured by the harvester.<\/p>\n<p><strong>Abstract<\/strong><\/p>\n<p align=\"justify\"><strong>Context<\/strong> Airborne laser scanning (ALS) is increasingly used together with models to predict the stand attributes of boreal forests. The information is updated by growth models. Information produced by remote sensing, model prediction, and growth simulation needs field verification. The data collected by harvesters on logging sites provide a means to evaluate and verify the accuracy of the ALS-based data.<br \/>\n<strong>Aims<\/strong> This study investigated the accuracy of ALS-based forest inventory data provided by the Finnish Forest Centre at the stand level, using harvester data as the reference. Special interest was on timber assortment volumes where the quality reductions of sawlog are model predictions in ALS-based data and true realized reductions in the logging data.<br \/>\n<strong>Methods<\/strong> We examined the accuracy of total volume and timber assortment volumes by comparing ALS-based data and operative logging data measured by a harvester. This was done both for clear cuttings and thinning sites. Accuracy of the identification of the dominant tree species of the stand was examined using the Kappa coefficient.<br \/>\n<strong>Results<\/strong> In clear-felling sites, the total harvest removals based on ALS and model prediction had a RMSE% of 26.0%. In thinning, the corresponding difference in the total harvested removal was 42.4%. Compared to logged volume, ALS-based prediction overestimated sawlog removals in clear cuttings and underestimated pulpwood removals.<br \/>\n<strong>Conclusion<\/strong> The study provided valuable information on the accuracy of ALS-based stand attribute data. Our results showed that ALS-based data need better methods to predict the technical quality of harvested trees, to avoid systematic overestimates of sawlog volume. We also found that the ALS-based estimates do not accurately predict the volume of trees removed in actual thinnings.<\/p>\n<p><strong>Keywords<\/strong><br \/>\nReliability; Airborne laser scanning; Operational forest inventory; Clear cutting; Thinning<\/p>\n<div class='altmetric-embed' data-badge-type='donut' data-doi='10.1007\/s13595-020-00985-7'  style='float: right; ' ><\/div>\n<p><strong>Publication<\/strong><br \/>\nV\u00e4h\u00e4-Konka, V., Maltamo, M., Pukkala, T. et al. Evaluating the accuracy of ALS-based removal estimates against actual logging data. Annals of Forest Science 77, 84 (2020). <a href=\"https:\/\/doi.org\/10.1007\/s13595-020-00985-7\">https:\/\/doi.org\/10.1007\/s13595-020-00985-7<\/a><\/p>\n<p><strong>For the read-only version of the full text:<\/strong><br \/>\n<a href=\"https:\/\/rdcu.be\/b6CvH\">https:\/\/rdcu.be\/b6CvH<\/a><\/p>\n<p><strong>Data availability<\/strong><br \/>\nThe data that support the findings of this study are available from Mets\u00e4keskus and Stora Enso but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Stora Enso.<\/p>\n<p><strong>Handling Editor<\/strong><br \/>\nJean-Michel Leban<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Key message We examined the accuracy of the stand attribute data based on airborne laser scanning (ALS) provided by the Finnish Forest Centre. The precision of forest inventory data was compared for the first time with operative logging data measured by the harvester. Abstract Context Airborne laser scanning (ALS) is increasingly used together with models [&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-4415","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\/4415","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=4415"}],"version-history":[{"count":0,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/4415\/revisions"}],"wp:attachment":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/media?parent=4415"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/categories?post=4415"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/tags?post=4415"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}