{"id":3458,"date":"2019-02-27T15:39:55","date_gmt":"2019-02-27T14:39:55","guid":{"rendered":"http:\/\/rslab.disi.unitn.it\/?p=3458"},"modified":"2019-09-06T10:58:05","modified_gmt":"2019-09-06T08:58:05","slug":"3458-2","status":"publish","type":"post","link":"https:\/\/rslab.disi.unitn.it\/web\/3458-2\/","title":{"rendered":"RSLab in the ESA Spotlight"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-3461 aligncenter\" src=\"https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2019\/02\/Updated_CLC_2012_PM-e1551278369217-1024x478.png\" alt=\"\" width=\"625\" height=\"292\" srcset=\"https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2019\/02\/Updated_CLC_2012_PM-e1551278369217-1024x478.png 1024w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2019\/02\/Updated_CLC_2012_PM-e1551278369217-300x140.png 300w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2019\/02\/Updated_CLC_2012_PM-e1551278369217-150x70.png 150w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2019\/02\/Updated_CLC_2012_PM-e1551278369217-768x359.png 768w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2019\/02\/Updated_CLC_2012_PM-e1551278369217-1536x717.png 1536w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2019\/02\/Updated_CLC_2012_PM-e1551278369217-170x79.png 170w, https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2019\/02\/Updated_CLC_2012_PM-e1551278369217.png 1788w\" sizes=\"auto, (max-width: 625px) 100vw, 625px\" \/><\/p>\n<p>RSLab coordinated a project on the analysis of multitemporal Sentinel 2 images funded by the European Space Agency (ESA) obtaining very important results.\u00a0 These results\u00a0 are now under the spotlight in the ESA public outreach activities.<!--more--><\/p>\n<p>In the context of ESA SEOM &#8220;Multitemporal Analaysis&#8221; project three main methodological and application areas have been addressed related to: i) the automatic and unsupervised updating of land cover maps by using machine learning techniques applied to multitemporal Sentinel 2 images, ii)\u00a0 the automatic analysis of dense Sentinel 2 image time series for precision agriculture; and iii) the automatic detection of deforestation in Indonesia related to palm oil plantations.<\/p>\n<p>More details on the results related to the unsupervised updating of land cover maps can be found on the <a href=\"https:\/\/eo4society.esa.int\/2019\/02\/20\/a-new-method-for-unsupervised-update-of-land-cover-maps\/\">ESA website <\/a>.<\/p>\n<p>For more info on the related scientific paper refer to:<\/p>\n<div class=\"txtbook\">C. Paris, L. Bruzzone, D. Fern\u00e1ndez-Prieto<br \/>\n<strong>A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images<\/strong>,<br \/>\n<em>IEEE Transactions on Geoscience and Remote Sensing, <\/em>, In press, 2019.<br \/>\n<em>DOI <a id=\"ddDoi\" class=\"S_C_ddDoi\" href=\"http:\/\/dx.doi.org\/10.1109\/TGRS.2018.2890404\" target=\"doilink\" rel=\"noopener noreferrer\">10.1109\/TGRS.2018.2890404<\/a><\/em><br \/>\n<a href=\"https:\/\/rslab.disi.unitn.it\/web\/wp-content\/uploads\/2019\/02\/LCMU.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" src=\"https:\/\/rslab.disi.unitn.it\/web\/images\/pdf-128.png\" alt=\"\" \/><\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>RSLab coordinated a project on the analysis of multitemporal Sentinel 2 images funded by the European Space Agency (ESA) obtaining very important results.\u00a0 These results\u00a0 are now under the spotlight in the ESA public outreach activities.<\/p>\n","protected":false},"author":6,"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":[27,4],"class_list":["post-3458","post","type-post","status-publish","format-standard","hentry","category-news","category-press","tag-earth-observation","tag-esa"],"_links":{"self":[{"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts\/3458","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\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/comments?post=3458"}],"version-history":[{"count":16,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts\/3458\/revisions"}],"predecessor-version":[{"id":3487,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/posts\/3458\/revisions\/3487"}],"wp:attachment":[{"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/media?parent=3458"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/categories?post=3458"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rslab.disi.unitn.it\/web\/wp-json\/wp\/v2\/tags?post=3458"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}