{"id":18240,"date":"2024-12-10T11:55:22","date_gmt":"2024-12-10T08:55:22","guid":{"rendered":"https:\/\/www.metal.ntua.gr\/?p=18240"},"modified":"2024-12-10T11:55:22","modified_gmt":"2024-12-10T08:55:22","slug":"%ce%b4%ce%b9%ce%b1%ce%b4%cf%85%ce%ba%cf%84%ce%b9%ce%b1%ce%ba%ce%bf-%cf%83%ce%b5%ce%bc%ce%b9%ce%bd%ce%b1%cf%81%ce%b9%ce%bf","status":"publish","type":"post","link":"https:\/\/www.metal.ntua.gr\/?p=18240","title":{"rendered":"\u0394\u0399\u0391\u0394\u03a5\u039a\u03a4\u0399\u0391\u039a\u039f \u03a3\u0395\u039c\u0399\u039d\u0391\u03a1\u0399\u039f"},"content":{"rendered":"<p>\u03a0\u03c1\u03cc\u03c3\u03ba\u03bb\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03c4\u03c5\u03b1\u03ba\u03cc \u03c3\u03b5\u03bc\u03b9\u03bd\u03ac\u03c1\u03b9\u03bf \u03bc\u03b5 \u03b8\u03ad\u03bc\u03b1:<\/p>\n<p style=\"text-align: justify\">&#8220;Leveraging AI: Integrating Remote Sensing, GIS, and Machine Learning for Natural Disaster Resilience&#8221;, \u03c4\u03bf \u03bf\u03c0\u03bf\u03af\u03bf \u03b4\u03b9\u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03b5\u03ba\u03b4\u03bf\u03c4\u03b9\u03ba\u03cc \u03bf\u03af\u03ba\u03bf MDPI \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ac \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03ac Remote Sensing, Drones, Land, IJGI \u03ba\u03b1\u03b9 Geomatics.<\/p>\n<p>\u0397\u03bc\u03b5\u03c1\u03bf\u03bc\u03b7\u03bd\u03af\u03b1: <strong>\u03a4\u03b5\u03c4\u03ac\u03c1\u03c4\u03b7, 11 \u0394\u03b5\u03ba\u03b5\u03bc\u03b2\u03c1\u03af\u03bf\u03c5 2024<\/strong><\/p>\n<p>\u038f\u03c1\u03b1: <strong>10:00 \u2013 11:45 \u03c0.\u03bc. (\u0395\u03bb\u03bb\u03ac\u03b4\u03b1)<\/strong><\/p>\n<p>Webinar ID: <strong>843 0771 3005<\/strong><\/p>\n<p>\u03a3\u03cd\u03bd\u03b4\u03b5\u03c3\u03bc\u03bf\u03c2 \u0395\u03b3\u03b3\u03c1\u03b1\u03c6\u03ae\u03c2: <a href=\"https:\/\/lnkd.in\/d2HqFyYf\">https:\/\/lnkd.in\/d2HqFyYf<\/a><\/p>\n<p style=\"text-align: justify\">\u03a4\u03bf \u03c3\u03b5\u03bc\u03b9\u03bd\u03ac\u03c1\u03b9\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b4\u03b9\u03b1\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b5\u03b9\u03b4\u03b9\u03ba\u03ce\u03bd \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03c3\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03c0\u03b9\u03bf \u03c0\u03c1\u03cc\u03c3\u03c6\u03b1\u03c4\u03b5\u03c2 \u03b5\u03be\u03b5\u03bb\u03af\u03be\u03b5\u03b9\u03c2 \u03c3\u03c4\u03b9\u03c2 \u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b5\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae\u03c2 \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7\u03c2, \u03c4\u03b7\u03bb\u03b5\u03c0\u03b9\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 GIS, \u03bf\u03b9 \u03bf\u03c0\u03bf\u03af\u03b5\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c1\u03b9\u03b6\u03b9\u03ba\u03ac \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03bc\u03b1\u03c2 \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7, \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03c1\u03bf\u03c6\u03ce\u03bd.<\/p>\n<p>\u03a0\u03c1\u03cc\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1 \u03ba\u03b1\u03b9 \u039f\u03bc\u03b9\u03bb\u03b7\u03c4\u03ad\u03c2<\/p>\n<ul>\n<li style=\"text-align: justify\">\u0395\u03c0\u03b9\u03ba.\u039a\u03b1\u03b8. \u0394\u03c1. \u03a0\u03b1\u03c1\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03c2 \u03a4\u03c3\u03b1\u03b3\u03b3\u03b1\u03c1\u03ac\u03c4\u03bf\u03c2: \u039a\u03b1\u03bb\u03c9\u03c3\u03cc\u03c1\u03b9\u03c3\u03bc\u03b1 \u2022 \u039a\u03b1\u03b8.\u0394\u03c1. Raffaele Albano: AI-Based Flood Monitoring and Early Warning \u2022 \u0395\u03c0\u03b9\u03ba.\u039a\u03b1\u03b8. \u0394\u03c1. Haoyuan Hong: Landslide Susceptibility Mapping Based on the Reliability of Landslide and Non-landslide Sample \u2022 \u0391\u03bd\u03b1\u03c0.\u039a\u03b1\u03b8. \u0394\u03c1. \u0394\u03b7\u03bc\u03ae\u03c4\u03c1\u03b9\u03bf\u03c2 \u039b\u03bf\u03c5\u03ba\u03af\u03b4\u03b7\u03c2: Integrating Geotechnical Parameters with Advanced Machine Learning for Enhanced Landslide Susceptibility<\/li>\n<\/ul>\n<p>Mapping: A Case Study of Southwestern Cyprus<\/p>\n\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u03a0\u03c1\u03cc\u03c3\u03ba\u03bb\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03c4\u03c5\u03b1\u03ba\u03cc \u03c3\u03b5\u03bc\u03b9\u03bd\u03ac\u03c1\u03b9\u03bf \u03bc\u03b5 \u03b8\u03ad\u03bc\u03b1: &#8220;Leveraging AI: Integrating Remote Sensing, GIS, and Machine Learning for Natural Disaster Resilience&#8221;, \u03c4\u03bf \u03bf\u03c0\u03bf\u03af\u03bf \u03b4\u03b9\u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03b5\u03ba\u03b4\u03bf\u03c4\u03b9\u03ba\u03cc \u03bf\u03af\u03ba\u03bf MDPI \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ac [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":3353,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7,1],"tags":[886],"class_list":["post-18240","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-7","category-1","tag-886"],"_links":{"self":[{"href":"https:\/\/www.metal.ntua.gr\/index.php?rest_route=\/wp\/v2\/posts\/18240","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.metal.ntua.gr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.metal.ntua.gr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.metal.ntua.gr\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.metal.ntua.gr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=18240"}],"version-history":[{"count":0,"href":"https:\/\/www.metal.ntua.gr\/index.php?rest_route=\/wp\/v2\/posts\/18240\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.metal.ntua.gr\/index.php?rest_route=\/wp\/v2\/media\/3353"}],"wp:attachment":[{"href":"https:\/\/www.metal.ntua.gr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=18240"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.metal.ntua.gr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=18240"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.metal.ntua.gr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=18240"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}