{"id":6999,"date":"2026-06-17T14:30:18","date_gmt":"2026-06-17T12:30:18","guid":{"rendered":"https:\/\/rslab.disi.unitn.it\/web\/?p=6999"},"modified":"2026-06-17T14:30:18","modified_gmt":"2026-06-17T12:30:18","slug":"keynote-talk-2026-aet-conference","status":"publish","type":"post","link":"https:\/\/rslab.disi.unitn.it\/web\/keynote-talk-2026-aet-conference\/","title":{"rendered":"Keynote Talk @ 2026 AET Conference"},"content":{"rendered":"<p><span class=\"_1229fdd6 _0128cd8b _4f3c78e9\" tabindex=\"-1\" data-testid=\"expandable-text-box\">Lorenzo Bruzzone gave an invited plenary keynote presentation at the <a href=\"https:\/\/aetcc2026.es\/\">XXI Conference of the Asociaci\u00f3n Espa\u00f1ola de Teledetecci\u00f3n (AET)<\/a> helded in C\u00e1ceres, Spain.<\/span><\/p>\n<p><a href=\"https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2026\/06\/Caceres-Bruzzone-2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-7001\" src=\"https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2026\/06\/Caceres-Bruzzone-2-1024x683.png\" alt=\"\" width=\"625\" height=\"417\" srcset=\"https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2026\/06\/Caceres-Bruzzone-2-1024x683.png 1024w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2026\/06\/Caceres-Bruzzone-2-300x200.png 300w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2026\/06\/Caceres-Bruzzone-2-150x100.png 150w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2026\/06\/Caceres-Bruzzone-2-768x512.png 768w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2026\/06\/Caceres-Bruzzone-2-170x113.png 170w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2026\/06\/Caceres-Bruzzone-2.png 1536w\" sizes=\"auto, (max-width: 625px) 100vw, 625px\" \/><\/a><\/p>\n<p>The keynote presentation, &#8220;Challenges and Opportunities for Generating Global High-Resolution Land-Cover Maps in the Era of Foundation Models,&#8221; explored the theoretical and practical challenges of AI-based approaches for producing global high-resolution land-cover maps from remote sensing data. The talk also highlighted how methodological choices can significantly influence the quality, reliability, and uncertainty of the resulting products.<\/p>\n<p>The presentation provided an excellent opportunity to showcase the high-resolution land-cover products developed to support climate modeling within the framework of the <a href=\"https:\/\/climate.esa.int\/en\/projects\/high-resolution-land-cover\/\"><span class=\"b18cae23 _4f3c78e9\">European Space Agency<\/span> Climate Change Initiative \u00a0High Resolution Land Cover project<\/a> developed under the leadership of RSLab.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Lorenzo Bruzzone gave an invited plenary keynote presentation at the XXI Conference of the Asociaci\u00f3n Espa\u00f1ola de Teledetecci\u00f3n (AET) helded in C\u00e1ceres, Spain. The keynote presentation, &#8220;Challenges and Opportunities for Generating Global High-Resolution Land-Cover Maps in the Era of Foundation Models,&#8221; explored the theoretical and practical challenges of AI-based approaches for producing global high-resolution land-cover [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[7,6],"tags":[42,43,53,27,4],"class_list":["post-6999","post","type-post","status-publish","format-standard","hentry","category-hh","category-news","tag-big-data","tag-climate-change","tag-deep-neural-network","tag-earth-observation","tag-esa"],"_links":{"self":[{"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts\/6999","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/comments?post=6999"}],"version-history":[{"count":2,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts\/6999\/revisions"}],"predecessor-version":[{"id":7002,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts\/6999\/revisions\/7002"}],"wp:attachment":[{"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/media?parent=6999"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/categories?post=6999"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/tags?post=6999"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}