{"id":944,"date":"2025-01-19T14:02:58","date_gmt":"2025-01-19T14:02:58","guid":{"rendered":"https:\/\/www.cifor-icraf.org\/transparent-monitoring\/?post_type=knowledge&#038;p=944"},"modified":"2025-03-11T08:34:00","modified_gmt":"2025-03-11T08:34:00","slug":"a-comprehensive-framework-for-assessing-the-accuracy-and-uncertainty-of-global-above-ground-biomass-maps","status":"publish","type":"knowledge","link":"https:\/\/www.cifor-icraf.org\/transparent-monitoring\/es\/knowledge-item\/a-comprehensive-framework-for-assessing-the-accuracy-and-uncertainty-of-global-above-ground-biomass-maps\/","title":{"rendered":"A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps"},"content":{"rendered":"\n<div class=\"wp-block-group alignwide alignwide knowledge-template-wrapper is-wide-container has-global-padding is-layout-constrained wp-container-core-group-is-layout-b1fefe26 wp-block-group-is-layout-constrained\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<h2 class=\"alignwide knowledge-title wp-block-post-title\">A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps<\/h2>\n\n\n<div class=\"wp-block-columns alignwide knowledge-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column knowledge-left-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:20%\"><figure class=\"wp-block-post-featured-image\"><img loading=\"lazy\" decoding=\"async\" width=\"288\" height=\"450\" src=\"https:\/\/www.cifor-icraf.org\/transparent-monitoring\/wp-content\/uploads\/sites\/78\/2025\/03\/publication.jpg\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"\" style=\"object-fit:cover;\" srcset=\"https:\/\/www.cifor-icraf.org\/transparent-monitoring\/wp-content\/uploads\/sites\/78\/2025\/03\/publication.jpg 288w, https:\/\/www.cifor-icraf.org\/transparent-monitoring\/wp-content\/uploads\/sites\/78\/2025\/03\/publication-192x300.jpg 192w\" sizes=\"auto, (max-width: 288px) 100vw, 288px\" \/><\/figure>\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group alignwide knowledge-share-group is-vertical is-layout-flex wp-container-core-group-is-layout-3a19b9da wp-block-group-is-layout-flex\" style=\"margin-top:0;margin-bottom:0\">\n<p class=\"has-small-font-size\">Share this:<\/p>\n\n\n\n<ul class=\"wp-block-social-links has-small-icon-size has-icon-color is-style-logos-only is-layout-flex wp-block-social-links-is-layout-flex\"><\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column knowledge-main-content is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:60%\">\n<p class=\"has-medium-font-size\">This paper presents a framework for validating global above-ground biomass (AGB) maps by comparing them to National Forest Inventories and research plots, accounting for plot uncertainties like measurement and sampling errors. The framework assesses map bias using machine learning and spatial statistics. Validation of four AGB maps reveals regional biases, spatial error correlations, and improvement trends over time. Bias-adjusted AGB estimates align better with FAO Forest Resources Assessment data. This approach supports consistent accuracy evaluation, aiding future map refinement and applications.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column knowledge-meta-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:20%\">\n<p class=\"has-medium-font-size\"><strong>Year<\/strong><\/p>\n\n\n\n<p class=\"knowledge-meta has-small-font-size\">{\u00abtype\u00bb:\u00bbpost-meta\u00bb,\u00bbkey\u00bb:\u00bbyear\u00bb}<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Authors<\/strong><\/p>\n\n\n\n<p class=\"knowledge-meta has-small-font-size\">{\u00abtype\u00bb:\u00bbpost-meta\u00bb,\u00bbkey\u00bb:\u00bbauthors\u00bb}<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Language<\/strong><\/p>\n\n\n\n<p class=\"knowledge-meta has-small-font-size\">{\u00abtype\u00bb:\u00bbpost-meta\u00bb,\u00bbkey\u00bb:\u00bblanguage\u00bb}<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Keywords<\/strong><\/p>\n\n\n\n<p class=\"knowledge-meta has-small-font-size\">{\u00abtype\u00bb:\u00bbpost-meta\u00bb,\u00bbkey\u00bb:\u00bbkeywords\u00bb}<\/p>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Share this: This paper presents a framework for validating global above-ground biomass (AGB) maps by comparing them to National Forest Inventories and research plots, accounting for plot uncertainties like measurement and sampling errors. The framework assesses map bias using machine learning and spatial statistics. Validation of four AGB maps reveals regional biases, spatial error correlations, [&hellip;]<\/p>\n","protected":false},"featured_media":1364,"template":"","meta":{"inline_featured_image":false,"year":"","authors":"","language":"en","keywords":"","footnotes":"","_links_to":"","_links_to_target":""},"type_knowledge":[3],"knowledge_dimension":[22,20],"knowledge_case_study":[31],"class_list":["post-944","knowledge","type-knowledge","status-publish","has-post-thumbnail","hentry","type_knowledge-publication","knowledge_dimension-community","knowledge_dimension-policy","knowledge_case_study-gen1"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps - Transparent Monitoring<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.cifor-icraf.org\/transparent-monitoring\/es\/knowledge-item\/a-comprehensive-framework-for-assessing-the-accuracy-and-uncertainty-of-global-above-ground-biomass-maps\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps - Transparent Monitoring\" \/>\n<meta property=\"og:description\" content=\"Share this: This paper presents a framework for validating global above-ground biomass (AGB) maps by comparing them to National Forest Inventories and research plots, accounting for plot uncertainties like measurement and sampling errors. 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