{"id":5970,"date":"2023-10-12T13:32:47","date_gmt":"2023-10-12T11:32:47","guid":{"rendered":"https:\/\/rslab.disi.unitn.it\/?p=5970"},"modified":"2023-11-23T11:26:43","modified_gmt":"2023-11-23T10:26:43","slug":"remote-sensing-for-forest-monitoring-on-tv-news","status":"publish","type":"post","link":"https:\/\/rslab.disi.unitn.it\/web\/remote-sensing-for-forest-monitoring-on-tv-news\/","title":{"rendered":"Remote sensing for forest monitoring on TV news"},"content":{"rendered":"<p>The RSLab activities and projects related to remote sensing for forest monitoring have been the focus of a TV report on the national\u00a0 RAI 3 TG Leonardo and on the RAI TGR . The report\u00a0 addresses the activities developed by using LiDAR sensors and multispectral\/hyperspectral\u00a0 scanner on board of aircrafts, drones and satellites. Particular attention is given to the research in progress based on the use of artificial intelligence techniques applied to the hyperspectral images acquired\u00a0 by the PRISMA satellite of the Italian Space Agency.<\/p>\n<p><a href=\"https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2023\/10\/Foreste-LiDAR.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-5979 size-large\" src=\"https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2023\/10\/Foreste-LiDAR-1024x640.png\" alt=\"\" width=\"625\" height=\"391\" srcset=\"https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2023\/10\/Foreste-LiDAR-1024x640.png 1024w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2023\/10\/Foreste-LiDAR-300x188.png 300w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2023\/10\/Foreste-LiDAR-150x94.png 150w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2023\/10\/Foreste-LiDAR-768x480.png 768w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2023\/10\/Foreste-LiDAR-170x106.png 170w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2023\/10\/Foreste-LiDAR.png 1152w\" sizes=\"auto, (max-width: 625px) 100vw, 625px\" \/><\/a><\/p>\n<p>More details at the links below.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The RSLab activities and projects related to remote sensing for forest monitoring have been the focus of a TV report on the national\u00a0 RAI 3 TG Leonardo and on the RAI TGR . The report\u00a0 addresses the activities developed by using LiDAR sensors and multispectral\/hyperspectral\u00a0 scanner on board of aircrafts, drones and satellites. Particular attention [&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":[6,8],"tags":[43,53,27],"class_list":["post-5970","post","type-post","status-publish","format-standard","hentry","category-news","category-press","tag-climate-change","tag-deep-neural-network","tag-earth-observation"],"_links":{"self":[{"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts\/5970","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=5970"}],"version-history":[{"count":15,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts\/5970\/revisions"}],"predecessor-version":[{"id":6009,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts\/5970\/revisions\/6009"}],"wp:attachment":[{"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/media?parent=5970"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/categories?post=5970"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/tags?post=5970"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}