{"id":24021,"date":"2017-04-14T12:48:00","date_gmt":"2017-04-14T12:48:00","guid":{"rendered":"https:\/\/www.maapprogram.org\/?p=24021"},"modified":"2024-09-26T13:39:12","modified_gmt":"2024-09-26T13:39:12","slug":"maap-57-portugues","status":"publish","type":"post","link":"https:\/\/www.maapprogram.org\/pt-br\/maap-57-portugues\/","title":{"rendered":"MAAP #57: Imagens de sat\u00e9lite de alta resolu\u00e7\u00e3o das inunda\u00e7\u00f5es no Peru"},"content":{"rendered":"<div id=\"attachment_5739\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_0_v1_en.jpg\"><img decoding=\"async\" class=\"wp-image-5739\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_0_v1_en.jpg\" alt=\"\" width=\"498\" height=\"560\" \/><\/a><div class=\"caption\">Imagem 57. Dados: ESRI, INEI, MINAM. Clique para ampliar.<\/div><\/div>\n<p>No\u00a0<a href=\"https:\/\/www.maapprogram.org\/2017\/floods\/\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"6182f4e07f71b7b1555341c3\">MAAP #56<\/a>\u00a0anterior , mostramos uma s\u00e9rie de imagens de sat\u00e9lite das enchentes mortais que atingiram recentemente o norte do Peru.<\/p>\n<p>Neste relat\u00f3rio, mostramos uma s\u00e9rie de novas\u00a0<strong>imagens de sat\u00e9lite de alt\u00edssima resolu\u00e7\u00e3o<\/strong>\u00a0(50 cm) da inunda\u00e7\u00e3o. Elas mostram, em detalhes impressionantes, alguns dos impactos locais, incluindo terras de cultivo e a Rodovia Panamericana.<\/p>\n<p><strong>A imagem 57<\/strong>\u00a0mostra os\u00a0<strong>13 rios<\/strong>\u00a0que transbordaram recentemente no norte do Peru.<\/p>\n<p>Abaixo, mostramos imagens das inunda\u00e7\u00f5es em torno de quatro rios, rotulados AD.<\/p>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>Rio Tumbes<\/strong><\/h3>\n<p><strong>A Imagem 57a<\/strong>\u00a0mostra a inunda\u00e7\u00e3o ao longo de um trecho do Rio Tumbes entre outubro de 2016 (painel esquerdo) e mar\u00e7o de 2017 (painel direito). As caixas amarelas inseridas indicam as \u00e1reas dos zooms de acompanhamento.<\/p>\n<div id=\"attachment_5740\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_A_m_v1_en.jpg\"><img decoding=\"async\" class=\"wp-image-5740 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_A_m_v1_en.jpg\" alt=\"\" width=\"1553\" height=\"697\" \/><\/a><div class=\"caption\">Imagem 57a. Dados: Digital Globe (Nextview)<\/div><\/div>\n<div id=\"attachment_5741\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_A_m_z1_v1_en.jpg\"><img decoding=\"async\" class=\"wp-image-5741 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_A_m_z1_v1_en.jpg\" alt=\"\" width=\"1553\" height=\"697\" \/><\/a><div class=\"caption\">Inser\u00e7\u00e3o A1. Dados: Digital Globe (Nextview)<\/div><\/div>\n<div id=\"attachment_5742\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_A_m_z2_v1_en.jpg\"><img decoding=\"async\" class=\"size-full wp-image-5742\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_A_m_z2_v1_en.jpg\" alt=\"\" width=\"1551\" height=\"697\" \/><\/a><div class=\"caption\">Inser\u00e7\u00e3o A2. Dados: Digital Globe (Nextview)<\/div><\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>Rio La Leche<\/strong><\/h3>\n<p><strong>A Imagem 57c<\/strong>\u00a0\u00a0mostra a inunda\u00e7\u00e3o ao longo de um trecho do Rio La Leche entre janeiro (painel esquerdo) e mar\u00e7o de 2017 (painel direito). As caixas amarelas inseridas indicam as \u00e1reas dos zooms de acompanhamento. Observe a inunda\u00e7\u00e3o da Rodovia Panamericana.<\/p>\n<div id=\"attachment_5743\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_B_m_v1_en.jpg\"><img decoding=\"async\" class=\"size-full wp-image-5743\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_B_m_v1_en.jpg\" alt=\"\" width=\"1689\" height=\"697\" \/><\/a><div class=\"caption\">Image 57b. Data: Digital Globe (Nextview)<\/div><\/div>\n<div id=\"attachment_5744\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_B_m_z1_v1_en.jpg\"><img decoding=\"async\" class=\"size-full wp-image-5744\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_B_m_z1_v1_en.jpg\" alt=\"\" width=\"1689\" height=\"697\" \/><\/a><div class=\"caption\">Inset B1. Data: Digital Globe (Nextview)<\/div><\/div>\n<div id=\"attachment_5745\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_B_m_z2_v1_en.jpg\"><img decoding=\"async\" class=\"size-full wp-image-5745\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_B_m_z2_v1_en.jpg\" alt=\"\" width=\"1687\" height=\"695\" \/><\/a><div class=\"caption\">Inset B2. Data: Digital Globe (Nextview)<\/div><\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>Rio Jequetepeque<\/strong><\/h3>\n<p><strong>A Imagem 57d<\/strong>\u00a0\u00a0mostra a inunda\u00e7\u00e3o ao longo de um trecho do Rio Jequetepeque entre janeiro (painel esquerdo) e mar\u00e7o de 2017 (painel direito). As caixas amarelas inseridas indicam as \u00e1reas dos zooms de acompanhamento.<\/p>\n<div id=\"attachment_5746\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_C_m_v1_en.jpg\"><img decoding=\"async\" class=\"size-full wp-image-5746\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_C_m_v1_en.jpg\" alt=\"\" width=\"1691\" height=\"697\" \/><\/a><div class=\"caption\">Image 57c. Data: Digital Globe (Nextview)<\/div><\/div>\n<div id=\"attachment_5747\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_C_m_z1_v1_en.jpg\"><img decoding=\"async\" class=\"size-full wp-image-5747\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_C_m_z1_v1_en.jpg\" alt=\"\" width=\"1687\" height=\"699\" \/><\/a><div class=\"caption\">Inset C1. Data: Digital Globe (Nextview)<\/div><\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>Rio Jequetepeque<\/strong><\/h3>\n<p><strong>A Imagem 57d<\/strong>\u00a0\u00a0mostra a inunda\u00e7\u00e3o ao longo de um trecho do Rio Jequetepeque entre janeiro (painel esquerdo) e mar\u00e7o de 2017 (painel direito). As caixas amarelas inseridas indicam as \u00e1reas dos zooms de acompanhamento.<\/p>\n<div id=\"attachment_5748\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_D_m_v1_en.jpg\"><img decoding=\"async\" class=\"wp-image-5748 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_D_m_v1_en.jpg\" alt=\"\" width=\"1685\" height=\"697\" \/><\/a><div class=\"caption\">Image 57d. Data: Digital Globe (Nextview)<\/div><\/div>\n<div id=\"attachment_5749\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_D_m_z1_v1_en.jpg\"><img decoding=\"async\" class=\"wp-image-5749 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_D_m_z1_v1_en.jpg\" alt=\"\" width=\"1687\" height=\"699\" \/><\/a><div class=\"caption\">Inset D1. Data: Digital Globe (Nextview)<\/div><\/div>\n<div id=\"attachment_5750\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_D_m_z2_v1_en.jpg\"><img decoding=\"async\" class=\"wp-image-5750 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/04\/MAAP_Floods2_D_m_z2_v1_en.jpg\" alt=\"\" width=\"1689\" height=\"695\" \/><\/a><div class=\"caption\">Inset D2. Data: Digital Globe (Nextview)<\/div><\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>References<\/strong><\/h3>\n<p>UNOSAT, 2017. Efectos del Ni\u00f1o Costero: Inundaciones en Per\u00fa, Departamentos de La Libertad &amp; Ancash. _Marzo_20170321<\/p>\n<p>UNOSAT, 2017. Efectos del Ni\u00f1o Costero: Inundaciones en Per\u00fa, Departamentos de La Libertad &amp; Ancash. _Marzo_20170321<\/p>\n<p>UNOSAT, 2017. Efectos del Ni\u00f1o Costero: Inundaciones en Per\u00fa, Departamentos de Piura. Marzo_20170320<\/p>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>Citation<\/strong><\/h3>\n<p>Novoa S, Finer M (2017) High Resolution Images of the Flooding in Peru. MAAP: 57<\/p>\n<div class=\"fitem-sep\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>No\u00a0MAAP #56\u00a0anterior , mostramos uma s\u00e9rie de imagens de sat\u00e9lite das enchentes mortais que atingiram recentemente o norte do Peru. Neste relat\u00f3rio, mostramos uma s\u00e9rie de novas\u00a0imagens de sat\u00e9lite de alt\u00edssima resolu\u00e7\u00e3o\u00a0(50 cm) da inunda\u00e7\u00e3o. Elas mostram, em detalhes impressionantes, alguns dos impactos locais, incluindo terras de cultivo e a Rodovia Panamericana. A imagem 57\u00a0mostra [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3],"tags":[],"ftr_agriculture":[],"carbon-and-climate-change":[],"ftr_country":[400],"fire":[],"infrastructure-threat":[],"land-use":[],"mining-and-logging-threat":[],"natural-forest-loss":[462],"special-analysis":[],"class_list":["post-24021","post","type-post","status-publish","format-standard","hentry","category-nao-categorizado","ftr_country-peru","natural-forest-loss-inundacoes"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MAAP #57: Imagens de sat\u00e9lite de alta resolu\u00e7\u00e3o das inunda\u00e7\u00f5es no Peru - MAAP<\/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.maapprogram.org\/pt-br\/maap-57-portugues\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MAAP #57: Imagens de sat\u00e9lite de alta resolu\u00e7\u00e3o das inunda\u00e7\u00f5es no Peru - MAAP\" \/>\n<meta property=\"og:description\" content=\"No\u00a0MAAP #56\u00a0anterior , mostramos uma s\u00e9rie de imagens de sat\u00e9lite das enchentes mortais que atingiram recentemente o norte do Peru. Neste relat\u00f3rio, mostramos uma s\u00e9rie de novas\u00a0imagens de sat\u00e9lite de alt\u00edssima resolu\u00e7\u00e3o\u00a0(50 cm) da inunda\u00e7\u00e3o. Elas mostram, em detalhes impressionantes, alguns dos impactos locais, incluindo terras de cultivo e a Rodovia Panamericana. 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