{"id":6738,"date":"2023-10-20T09:00:27","date_gmt":"2023-10-20T14:00:27","guid":{"rendered":"https:\/\/permafrostnet.ca\/?p=6738"},"modified":"2026-05-22T11:15:23","modified_gmt":"2026-05-22T16:15:23","slug":"identifying-active-retrogressive-thaw-slumps-from-arcticdem","status":"publish","type":"post","link":"https:\/\/permafrostnet.ca\/fr\/blog\/identifying-active-retrogressive-thaw-slumps-from-arcticdem\/","title":{"rendered":"Identifying active retrogressive thaw slumps from ArcticDEM"},"content":{"rendered":"<h2 id=\"wp-block-themeisle-blocks-advanced-heading-b19cc06b\" class=\"wp-block-themeisle-blocks-advanced-heading wp-block-themeisle-blocks-advanced-heading-b19cc06b\">&nbsp;<strong>Identifying active retrogressive thaw slumps from ArcticDEM<\/strong><\/h2>\n\n\n\n<p>L\u2019ampleur du d\u00e9gel du perg\u00e9lisol dans la r\u00e9gion panArctique reste inconnue, mais la t\u00e9l\u00e9d\u00e9tection, l\u2019apprentissage profond et le \u00ab crowdsourcing \u00bb aident \u00e0 cartographier la d\u00e9gradation du perg\u00e9lisol dans le paysage.<\/p>\n\n\n\n<p>L'\u00e9tude r\u00e9cente de\u00a0<a href=\"https:\/\/permafrostnet.ca\/fr\/people\/lingcao-huang\/\" target=\"_blank\" rel=\"noreferrer noopener\">Huang<\/a> <em>et al<\/em>\u00a0fournit des donn\u00e9es et sert \u00e0 dresser un inventaire mondial et \u00e0 mieux comprendre le d\u00e9gel du perg\u00e9lisol dans la r\u00e9gion panarctique gr\u00e2ce \u00e0 la t\u00e9l\u00e9d\u00e9tection \u00e0 tr\u00e8s haute r\u00e9solution. Cette approche pourrait conduire \u00e0 un inventaire mondial des effondrements r\u00e9gressifs li\u00e9s au d\u00e9gel.<\/p>\n\n\n\n<p>Lingcao Huang, Michael J. Willis, Guiye Li, Trevor C. Lantz, Kevin Schaefer, Elizabeth Wig, Guofeng Cao, Kristy F. Tiampo,&nbsp;<strong><a href=\"https:\/\/doi.org\/10.1016\/j.isprsjprs.2023.10.008\" target=\"_blank\" rel=\"noreferrer noopener\">Identifying active retrogressive thaw slumps from ArcticDEM<\/a><\/strong>, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 205, 2023, Pages 301-316, ISSN 0924-2716.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" width=\"558\" height=\"499\" src=\"https:\/\/permafrostnet.ca\/wp-content\/uploads\/2023\/10\/a5d3c1bd-f41a-691d-8498-42e2ac622c1b.jpg\" alt=\"Coverage of the ArcticDEM in the Arctic with permafrost extent.\" class=\"wp-image-6744\" srcset=\"https:\/\/permafrostnet.ca\/wp-content\/uploads\/2023\/10\/a5d3c1bd-f41a-691d-8498-42e2ac622c1b.jpg 558w, https:\/\/permafrostnet.ca\/wp-content\/uploads\/2023\/10\/a5d3c1bd-f41a-691d-8498-42e2ac622c1b-300x268.jpg 300w, https:\/\/permafrostnet.ca\/wp-content\/uploads\/2023\/10\/a5d3c1bd-f41a-691d-8498-42e2ac622c1b-13x12.jpg 13w\" sizes=\"(max-width: 558px) 100vw, 558px\" \/><figcaption class=\"wp-element-caption\">Couverture de l'ArcticDEM dans l'Arctique avec \u00e9tendue du perg\u00e9lisol.<\/figcaption><\/figure>\n<\/div>\n\n\n<div style=\"height:44px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>The extent of permafrost thaw in the pan-Arctic remains unknown, but remote sensing, deep learning and crowdsourcing are helping to map permafrost degradation in the landscape. The recent study by\u00a0Huang et al\u00a0study provides data and serves to develop a global inventory and better understand permafrost thaw in the pan-Arctic using [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":6744,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_EventAllDay":false,"_EventTimezone":"","_EventStartDate":"","_EventEndDate":"","_EventStartDateUTC":"","_EventEndDateUTC":"","_EventShowMap":false,"_EventShowMapLink":false,"_EventURL":"","_EventCost":"","_EventCostDescription":"","_EventCurrencySymbol":"","_EventCurrencyCode":"","_EventCurrencyPosition":"","_EventDateTimeSeparator":"","_EventTimeRangeSeparator":"","_EventOrganizerID":[],"_EventVenueID":[],"_OrganizerEmail":"","_OrganizerPhone":"","_OrganizerWebsite":"","_VenueAddress":"","_VenueCity":"","_VenueCountry":"","_VenueProvince":"","_VenueState":"","_VenueZip":"","_VenuePhone":"","_VenueURL":"","_VenueStateProvince":"","_VenueLat":"","_VenueLng":"","_VenueShowMap":false,"_VenueShowMapLink":false,"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[36,35,118],"tags":[137,138,139,56,136],"class_list":["post-6738","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-news","category-publications","tag-arcticdem","tag-crowd-sourcing","tag-deep-learning","tag-publication","tag-retrogressive-thaw-slumps"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Identifying active retrogressive thaw slumps from ArcticDEM &#8211; PermafrostNet<\/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.permafrostnet.ca\/blog\/identifying-active-retrogressive-thaw-slumps-from-arcticdem\/\" \/>\n<meta property=\"og:locale\" content=\"fr_CA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Identifying active retrogressive thaw slumps from ArcticDEM &#8211; PermafrostNet\" \/>\n<meta property=\"og:description\" content=\"The extent of permafrost thaw in the pan-Arctic remains unknown, but remote sensing, deep learning and crowdsourcing are helping to map permafrost degradation in the landscape. 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