{"id":23253,"date":"2017-08-09T13:09:00","date_gmt":"2017-08-09T13:09:00","guid":{"rendered":"https:\/\/www.maapprogram.org\/?p=23253"},"modified":"2024-09-19T13:36:40","modified_gmt":"2024-09-19T13:36:40","slug":"maap-65-portugues","status":"publish","type":"post","link":"https:\/\/www.maapprogram.org\/pt-br\/maap-65-portugues\/","title":{"rendered":"MAAP #65: Pontos cr\u00edticos de desmatamento em 2017 na Amaz\u00f4nia peruana"},"content":{"rendered":"<div id=\"attachment_6096\" class=\"thumbnail alignright\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_O_v1_en.jpg\"><img decoding=\"async\" class=\"wp-image-6096\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_O_v1_en.jpg\" alt=\"\" width=\"420\" height=\"553\" \/><\/a><div class=\"caption\"><span>Imagem 65. Dados: MINAM\/PNCB, UMD\/GLAD, SERNANP, MAAP<\/span><\/div><\/div>\n<p><span>Em um relat\u00f3rio anterior,\u00a0<\/span><a href=\"https:\/\/www.maapprogram.org\/2016\/gladalerts\/\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"6182f4e07f71b7b1555341c3\"><span>MAAP #40<\/span><\/a><span>\u00a0, destacamos o poder de combinar alertas GLAD* de alerta precoce com an\u00e1lises de imagens de sat\u00e9lite de alta resolu\u00e7\u00e3o (por exemplo, da empresa\u00a0<\/span><a href=\"https:\/\/www.maapprogram.org\/2017\/planet\/\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"6182f4e07f71b7b1555341c3\"><span>Planet<\/span><\/a><span>\u00a0), como parte de um sistema abrangente de monitoramento de desmatamento\u00a0<\/span><strong><span>quase em tempo real\u00a0<\/span><\/strong><strong><span>.<\/span><\/strong><\/p>\n<p><span>No relat\u00f3rio atual, analisamos os alertas GLAD do primeiro semestre de 2017 (at\u00e9 17 de julho) para identificar os atuais\u00a0\u00a0<strong>pontos cr\u00edticos\u00a0<\/strong><\/span><strong><span>de desmatamento<\/span><\/strong>\u00a0<span>\u00a0na Amaz\u00f4nia peruana.** Esses alertas indicam uma perda florestal total estimada de 37.000 acres (15.000 hectares) at\u00e9 agora durante o ano.<\/span><\/p>\n<p><strong><span>A imagem 65<\/span><\/strong><span>\u00a0(veja \u00e0 direita) destaca os pontos cr\u00edticos de desmatamento de 2017, definidos aqui como \u00e1reas com densidade m\u00e9dia a alta de perda florestal.<\/span><\/p>\n<p><span>Abaixo, descrevemos e mostramos imagens dos pontos mais intensos, indicados em\u00a0\u00a0<\/span><strong><span>vermelho<\/span>\u00a0<\/strong><span>\u00a0e\u00a0\u00a0<\/span><strong><span>laranja<\/span><\/strong><span>\u00a0.<\/span><\/p>\n<p><span>Essas \u00e1reas incluem:<\/span><\/p>\n<ul>\n<li><span>Zonas de amortecimento da Reserva Nacional de Tambopata e do Parque Nacional da Cordilheira Azul<\/span><\/li>\n<li><span>Perdas naturais devido a ventos de furac\u00e3o na regi\u00e3o de Madre de Dios<\/span><\/li>\n<li><span>Fronteira noroeste com a Col\u00f4mbia<\/span><\/li>\n<\/ul>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong><span>Zona Tamp\u00e3o da\u00a0\u00a0<\/span><\/strong><strong><span>Reserva Nacional de Tambopata\u00a0<\/span><\/strong><\/h3>\n<p><strong><span>O detalhe A\u00a0<\/span><\/strong><span>\u00a0indica uma \u00e1rea de desmatamento de alta intensidade devido \u00e0\u00a0 atividade\u00a0<\/span><strong><span>de minera\u00e7\u00e3o de ouro<\/span><\/strong><span>\u00a0na zona de amortecimento da Reserva Nacional de Tambopata, no sul da Amaz\u00f4nia peruana (regi\u00e3o de Madre de Dios). A imagem 65a mostra o desmatamento de 1.210 acres (490 hectares) nesta \u00e1rea em 2017. O governo peruano recentemente (in\u00edcio de julho) liderou um\u00a0<\/span><a href=\"http:\/\/elcomercio.pe\/peru\/madre-de-dios\/infierno-pampa-pnp-intervino-campamentos-mineria-ilegal-440071\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"6182f4e07f71b7b1555341c3\"><span>grande ataque<\/span><\/a><span>\u00a0nesta \u00e1rea. No entanto, as imagens de sat\u00e9lite mais recentes (final de julho \u2013 in\u00edcio de agosto) indicam que os campos de minera\u00e7\u00e3o ainda est\u00e3o presentes na \u00e1rea.<\/span><\/p>\n<div id=\"attachment_6097\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_A_m_v1_en.jpg\"><img decoding=\"async\" class=\"wp-image-6097 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_A_m_v1_en.jpg\" alt=\"\" width=\"1917\" height=\"709\" \/><\/a><div class=\"caption\"><span>Imagem 65a. Dados: Planeta<\/span><\/div><\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong><span>Ventos de furac\u00e3o<\/span><\/strong><\/h3>\n<p><strong><span>Os inser\u00e7\u00f5es B e C\u00a0<\/span><\/strong><span>\u00a0indicam duas \u00e1reas na Amaz\u00f4nia peruana meridional (regi\u00e3o de Madre de Dios) que sofreram a perda natural de floresta de 980 acres (400 hectares) causada por\u00a0\u00a0<\/span><strong><span>ventos de furac\u00e3o<\/span><\/strong><span>\u00a0, tempestades localizadas com ventos fortes. As imagens 65b e 65c mostram a recente perda de floresta em 2017. Veja\u00a0<\/span><a href=\"https:\/\/www.maapprogram.org\/2017\/blowdown\/\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"6182f4e07f71b7b1555341c3\"><span>MAAP #54<\/span><\/a><span>\u00a0e\u00a0<\/span><a href=\"https:\/\/www.maapprogram.org\/2017\/blowdown2\/\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"6182f4e07f71b7b1555341c3\"><span>MAAP #55<\/span><\/a><span>\u00a0para mais detalhes sobre ventos de furac\u00e3o.<\/span><\/p>\n<div id=\"attachment_6098\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_B_m_v1_en.jpg\"><img decoding=\"async\" class=\"wp-image-6098 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_B_m_v1_en.jpg\" alt=\"\" width=\"1399\" height=\"693\" \/><\/a><div class=\"caption\"><span>Imagem 65b. Dados: Planeta<\/span><\/div><\/div>\n<div id=\"attachment_6101\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_C_m_v1_en.jpg\"><img decoding=\"async\" class=\"wp-image-6101 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_C_m_v1_en.jpg\" alt=\"\" width=\"1723\" height=\"709\" \/><\/a><div class=\"caption\"><span>Imagem 65c. Dados: Planeta<\/span><\/div><\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong><span>Zona Tamp\u00e3o do Parque Nacional da Cordilheira Azul<\/span><\/strong><\/h3>\n<p><strong><span>O detalhe D<\/span><\/strong><span>\u00a0mostra uma \u00e1rea de desmatamento de m\u00e9dia intensidade na zona de amortecimento do Parque Nacional Cordillera Azul, na Amaz\u00f4nia peruana central (regi\u00e3o de San Martin). A imagem 65d mostra um exemplo do desmatamento (138 acres) nessa \u00e1rea em 2017. A principal causa do desmatamento parece ser a atividade agr\u00edcola.<\/span><\/p>\n<div id=\"attachment_6099\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_D_m_v1_en.jpg\"><img decoding=\"async\" class=\"wp-image-6099 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_D_m_v1_en.jpg\" alt=\"\" width=\"1689\" height=\"709\" \/><\/a><div class=\"caption\"><span>Imagem 65d. Dados: Planeta<\/span><\/div><\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong><span>Fronteira Noroeste com a Col\u00f4mbia<\/span><\/strong><\/h3>\n<p><strong><span>O detalhe E<\/span><\/strong><span>\u00a0indica um hotspot de m\u00e9dia intensidade no extremo norte da Amaz\u00f4nia peruana (regi\u00e3o de Loreto), ao longo da fronteira com a Col\u00f4mbia. O desmatamento est\u00e1 se aproximando do limite da Reserva Comunal Huimeki. A imagem 65e mostra o desmatamento de 390 acres (158 hectares) nesta \u00e1rea em 2017. O fator parece estar ligado a atividades agr\u00edcolas e planta\u00e7\u00f5es il\u00edcitas (as\u00a0<\/span><a href=\"http:\/\/www.unodc.org\/documents\/crop-monitoring\/Peru\/Peru_monitoreo_coca_2016.pdf\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"6182f4e07f71b7b1555341c3\"><span>Na\u00e7\u00f5es Unidas<\/span><\/a><span>\u00a0confirmaram a presen\u00e7a de coca nesta \u00e1rea).<\/span><\/p>\n<div id=\"attachment_6100\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_E_m_v1_en.jpg\"><img decoding=\"async\" class=\"wp-image-6100 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_E_m_v1_en.jpg\" alt=\"\" width=\"1554\" height=\"700\" \/><\/a><div class=\"caption\"><span>Imagem 65e. Dados: Planeta<\/span><\/div><\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong><span>Notas<\/span><\/strong><\/h3>\n<p><span>*\u00a0<\/span><strong><span>Os alertas GLAD<\/span><\/strong><span>\u00a0\u00a0s\u00e3o uma nova ferramenta poderosa para monitorar a perda de florestas tropicais quase em tempo real. Este sistema de alerta precoce, criado pelo\u00a0<\/span><a class=\"external external_icon\" href=\"http:\/\/www.glad.umd.edu\/\" target=\"_blank\" rel=\"nofollow noopener\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"6182f4e07f71b7b1555341c3\"><span>\u00a0laborat\u00f3rio GLAD (Global Land Analysis and Discovery)<\/span><\/a><span>\u00a0\u00a0da Universidade de Maryland e apoiado pelo\u00a0\u00a0<\/span><a class=\"external external_icon\" href=\"http:\/\/www.globalforestwatch.org\/\" target=\"_blank\" rel=\"nofollow noopener\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"6182f4e07f71b7b1555341c3\"><span>Global Forest Watch<\/span><\/a><span>\u00a0, foi lan\u00e7ado em mar\u00e7o de 2016 como o primeiro sistema de alerta de perda florestal baseado em Landsat (resolu\u00e7\u00e3o de 30 metros) (os sistemas anteriores eram baseados em imagens de baixa resolu\u00e7\u00e3o). Os alertas s\u00e3o atualizados semanalmente e podem ser acessados \u200b\u200bpelo\u00a0\u00a0<\/span><a class=\"external external_icon\" href=\"http:\/\/www.globalforestwatch.org\/map\/5\/-9.41\/-74.45\/ALL\/grayscale\/umd_as_it_happens?tab=analysis-tab\" target=\"_blank\" rel=\"nofollow noopener\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"6182f4e07f71b7b1555341c3\"><span>Global Forest Watch<\/span><\/a><span>\u00a0.<\/span><\/p>\n<p><span>**Realizamos uma estimativa de densidade de kernel, uma an\u00e1lise que calcula a magnitude por unidade de \u00e1rea de um fen\u00f4meno espec\u00edfico, neste caso, a perda florestal.<\/span><\/p>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong><span>Refer\u00eancia<\/span><\/strong><\/h3>\n<p><span>Planet Team (2017). Planet Application Program Interface: No Espa\u00e7o para a Vida na Terra. S\u00e3o Francisco, CA. https:\/\/api.planet.com.<\/span><\/p>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong><span>Cita\u00e7\u00e3o<\/span><\/strong><\/h3>\n<p><span>Novoa S, Finer M (2017) Pontos cr\u00edticos de desmatamento na Amaz\u00f4nia peruana em 2017. MAAP: 65.<\/span><\/p>\n<div class=\"fitem-sep\"><\/div>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Em um relat\u00f3rio anterior,\u00a0MAAP #40\u00a0, destacamos o poder de combinar alertas GLAD* de alerta precoce com an\u00e1lises de imagens de sat\u00e9lite de alta resolu\u00e7\u00e3o (por exemplo, da empresa\u00a0Planet\u00a0), como parte de um sistema abrangente de monitoramento de desmatamento\u00a0quase em tempo real\u00a0. No relat\u00f3rio atual, analisamos os alertas GLAD do primeiro semestre de 2017 (at\u00e9 17 [&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":[461],"special-analysis":[464],"class_list":["post-23253","post","type-post","status-publish","format-standard","hentry","category-nao-categorizado","ftr_country-peru","natural-forest-loss-explosoes","special-analysis-pontos-criticos-de-desmatamento"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MAAP #65: Pontos cr\u00edticos de desmatamento em 2017 na Amaz\u00f4nia peruana - 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-65-portugues\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MAAP #65: Pontos cr\u00edticos de desmatamento em 2017 na Amaz\u00f4nia peruana - MAAP\" \/>\n<meta property=\"og:description\" content=\"Em um relat\u00f3rio anterior,\u00a0MAAP #40\u00a0, destacamos o poder de combinar alertas GLAD* de alerta precoce com an\u00e1lises de imagens de sat\u00e9lite de alta resolu\u00e7\u00e3o (por exemplo, da empresa\u00a0Planet\u00a0), como parte de um sistema abrangente de monitoramento de desmatamento\u00a0quase em tempo real\u00a0. No relat\u00f3rio atual, analisamos os alertas GLAD do primeiro semestre de 2017 (at\u00e9 17 [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.maapprogram.org\/pt-br\/maap-65-portugues\/\" \/>\n<meta property=\"og:site_name\" content=\"MAAP\" \/>\n<meta property=\"article:published_time\" content=\"2017-08-09T13:09:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-09-19T13:36:40+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_O_v1_en.jpg\" \/>\n<meta name=\"author\" content=\"MAAP Consultants\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"MAAP Consultants\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-65-portugues\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-65-portugues\\\/\"},\"author\":{\"name\":\"MAAP Consultants\",\"@id\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/#\\\/schema\\\/person\\\/2f7133e3c0723ceecd6dabc9b4f198ce\"},\"headline\":\"MAAP #65: Pontos cr\u00edticos de desmatamento em 2017 na Amaz\u00f4nia peruana\",\"datePublished\":\"2017-08-09T13:09:00+00:00\",\"dateModified\":\"2024-09-19T13:36:40+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-65-portugues\\\/\"},\"wordCount\":741,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-65-portugues\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.maapprogram.org\\\/wp-content\\\/uploads\\\/2017\\\/08\\\/MAAP_Kernel_2017_O_v1_en.jpg\",\"articleSection\":[\"N\u00e3o categorizado\"],\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-65-portugues\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-65-portugues\\\/\",\"url\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-65-portugues\\\/\",\"name\":\"MAAP #65: Pontos cr\u00edticos de desmatamento em 2017 na Amaz\u00f4nia peruana - 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