


{"id":81957,"date":"2019-01-30T12:10:33","date_gmt":"2019-01-30T17:10:33","guid":{"rendered":"https:\/\/mrnf.gouv.qc.ca\/nos-publications\/estimator-propagate-height-prediction\/"},"modified":"2019-01-30T12:10:33","modified_gmt":"2019-01-30T17:10:33","slug":"estimator-propagate-height-prediction","status":"publish","type":"cpt_publication","link":"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/estimator-propagate-height-prediction\/","title":{"rendered":"A statistical estimator to propagate height prediction errors into a general volume model"},"content":{"rendered":"\n<p>Published in <strong>Canadian Journal of Forest Research<\/strong><b> 40: 1930-1939<\/b><\/p>\n<p>In most large-scale inventories, volume models rely on predicted heights instead of measured heights. The effect of height predictions over volume estimate uncertainty is therefore a crucial issue. In this study, we designed a statistical estimator that enables the propagation of tree height prediction errors into a general volume model. The proposed estimator relies on the assumption that both the volume model and the height-diameter model that provides the height predictions do not exibit any lack of fit. This estimator was tested against a Monte Carlo simulation for 90 plots from three typical forest types in Qu\u00e9bec, Canada (hardwood, mixedwood, and softwood). The results show that the estimator provides plot volume predictions with error variances that fit those estimated using the Monte Carlo simulation. The estimator developed in this study may be useful to quickly provide the uncertainty associated with plot volume predictions in large-scale inventories.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Published in Canadian Journal of Forest Research 40: 1930-1939 In most large-scale inventories, volume models rely on predicted heights instead of measured heights. The effect of height predictions over volume estimate uncertainty is therefore a crucial issue. In this study, we designed a statistical estimator that enables the propagation of tree height prediction errors into [&hellip;]<\/p>\n","protected":false},"template":"","format":"standard","cptt_secteur":[1179],"cptt_theme":[1180,1181,1182],"cptt_categ_publi":[1149],"cptt_auteurs_ministeriels":[],"class_list":["post-81957","cpt_publication","type-cpt_publication","status-publish","format-standard","hentry","cptt_secteur-forests","cptt_theme-forestry-research","cptt_theme-forests","cptt_theme-silviculture","cptt_categ_publi-scientific-article"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A statistical estimator to propagate height prediction errors into a general volume model - Minist\u00e8re des Ressources naturelles et des For\u00eats<\/title>\n<meta name=\"description\" content=\"In this study, we designed a statistical estimator that enables the propagation of tree height prediction errors into a general volume model.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/estimator-propagate-height-prediction\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A statistical estimator to propagate height prediction errors into a general volume model - 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