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{"version":"1.0","provider_name":"PermafrostNet","provider_url":"https:\/\/permafrostnet.ca\/fr","author_name":"Tristan MacLean","author_url":"https:\/\/permafrostnet.ca\/fr\/author\/tristan\/","title":"Identifying active retrogressive thaw slumps from ArcticDEM &#8211; PermafrostNet","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"BpynE3xHYu\"><a href=\"https:\/\/permafrostnet.ca\/fr\/blog\/identifying-active-retrogressive-thaw-slumps-from-arcticdem\/\">Identifying active retrogressive thaw slumps from ArcticDEM<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/permafrostnet.ca\/fr\/blog\/identifying-active-retrogressive-thaw-slumps-from-arcticdem\/embed\/#?secret=BpynE3xHYu\" width=\"600\" height=\"338\" title=\"&laquo; Identifying active retrogressive thaw slumps from ArcticDEM &raquo; &#8212; PermafrostNet\" data-secret=\"BpynE3xHYu\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/permafrostnet.ca\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>","thumbnail_url":"https:\/\/www.permafrostnet.ca\/wp-content\/uploads\/2023\/10\/a5d3c1bd-f41a-691d-8498-42e2ac622c1b.jpg","thumbnail_width":558,"thumbnail_height":499,"description":"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;]"}