{"version":"1.0","provider_name":"MAAP","provider_url":"https:\/\/www.maapprogram.org\/es\/","author_name":"dcadmin","author_url":"https:\/\/www.maapprogram.org\/es\/author\/dcadmin\/","title":"MAAP #43: Alertas Tempranas de Deforestaci\u00f3n en la Amazon\u00eda Peruana, Parte 2 - MAAP","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"uTI1bxNL1n\"><a href=\"https:\/\/www.maapprogram.org\/es\/alertas2\/\">MAAP #43: Alertas Tempranas de Deforestaci\u00f3n en la Amazon\u00eda Peruana, Parte 2<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.maapprogram.org\/es\/alertas2\/embed\/#?secret=uTI1bxNL1n\" width=\"600\" height=\"338\" title=\"\u00abMAAP #43: Alertas Tempranas de Deforestaci\u00f3n en la Amazon\u00eda Peruana, Parte 2\u00bb \u2014 MAAP\" data-secret=\"uTI1bxNL1n\" 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:\/\/www.maapprogram.org\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"En el reporte anterior,\u00a0MAAP #40,\u00a0destacamos la gran utilidad de combinar las alertas tempranas\u00a0GLAD con un an\u00e1lisis de im\u00e1genes satelitales de alta resoluci\u00f3n, como parte de un sistema integral de monitoreo de deforestaci\u00f3n en tiempo casi real,\u00a0que permita la validaci\u00f3n de las alertas e identificaci\u00f3n de drivers en la Amazonia peruana. En el presente MAAP,\u00a0mostramos 3 [&hellip;]","thumbnail_url":"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2016\/09\/MAAP_Malinowski_glad_2016_v3-1.jpg"}