{"id":21102,"date":"2018-03-12T10:59:00","date_gmt":"2018-03-12T10:59:00","guid":{"rendered":"https:\/\/www.maapprogram.org\/radar\/"},"modified":"2024-09-25T13:34:03","modified_gmt":"2024-09-25T13:34:03","slug":"radar","status":"publish","type":"post","link":"https:\/\/www.maapprogram.org\/es\/radar\/","title":{"rendered":"MAAP #79 – Viendo a trav\u00e9s de las Nubes: Monitoreo de la Deforestaci\u00f3n con Radar"},"content":{"rendered":"
\"\"<\/a>
Imagen 79. Sat\u00e9lite de radar, Sentinel-1. Creado por MAAP<\/div><\/div>\n

En MAAP, hemos enfatizado el poder de los sat\u00e9lites con sensores \u00f3pticos (como Landsat, Planet, DigitalGlobe), los cuales tambi\u00e9n tienen una limitaci\u00f3n clave: la informaci\u00f3n sobre los bosques puede estar bloqueada por la presencia de nubes<\/strong>, un problema com\u00fan en un lugar lluvioso como la Amazon\u00eda.<\/p>\n

Sin embargo, existe otra herramienta poderosa con una capacidad \u00fanica: los sat\u00e9lites con sensores de radar<\/strong>, los cuales emiten su propia energ\u00eda que puede atravesar las nubes (ver Imagen).<\/p>\n

Desde el 2014, la Agencia Espacial Europea proporciona im\u00e1genes gratuitas de sus dos sat\u00e9lites de radar, Sentinel-1<\/strong>.<\/p>\n

En la Amazon\u00eda peruana, por ejemplo, Sentinel-1 obtiene im\u00e1genes cada 12 d\u00edas con una resoluci\u00f3n de 20 metros aproximadamente.<\/p>\n

En el presente MAAP<\/u>, mostramos el poder de radar en el\u00a0monitoreo de la deforestaci\u00f3n<\/strong> en tiempo casi real.\u00a0Nos enfocamos en\u00a0la deforestaci\u00f3n por miner\u00eda aur\u00edfera, en la Amazon\u00eda peruana sur (regi\u00f3n Madre de Dios).<\/p>\n

Analizando im\u00e1genes de radar, documentamos la deforestaci\u00f3n de\u00a01.32 mil hect\u00e1reas <\/b>(1.800 campos de f\u00fatbol)\u00a0<\/b>por miner\u00eda aur\u00edfera\u00a0<\/b>durante el a\u00f1o pasado.<\/p>\n

<\/div>\n

Im\u00e1genes de Radar (Sentinel-1)<\/strong><\/h3>\n

La Imagen 79a<\/strong> es un GIF de im\u00e1genes de radar Sentinel-1, mostrando la deforestaci\u00f3n por la actividad minera entre enero del 2017 y febrero del 2018, en nuestra zona de inter\u00e9s que incluye 4 zonas de enfoque: A.<\/strong> La Pampa (sector Balata), B.<\/strong> Tierra Roja, C.<\/strong> Alto Malinowski, D.<\/strong> Reserva Nacional Tambopata.<\/p>\n

\"\"<\/a>
Imagen 79a. GIF de im\u00e1genes de Sentinel-1 (polarizaci\u00f3n VV\/VH). Datos: ESA, SERNANP<\/div><\/div>\n

En las im\u00e1genes de radar, las tierras deforestadas aparecen en tonos de color azul p\u00farpura, mientras que los bosques aparecen en tonos de verde amarillo.<\/p>\n

Basado en ello, n\u00f3tese la r\u00e1pida expansi\u00f3n de la miner\u00eda en el sector de La Pampa<\/strong>, as\u00ed como en la zona del Alto Malinowski<\/strong>. Por el contrario, se puede observar que la expansi\u00f3n de la miner\u00eda ilegal se detuvo al interior de la Reserva Nacional Tambopata<\/strong> a partir de junio del 2017.<\/p>\n

<\/div>\n

Datos\u00a0de Deforestaci\u00f3n<\/strong><\/h3>\n

La Imagen 79b<\/strong> indica las zonas de deforestaci\u00f3n por miner\u00eda aur\u00edfera m\u00e1s recientes detectadas por radar. Estimamos la deforestaci\u00f3n de 1.32 mil hect\u00e1reas<\/strong>\u00a0(1.800 campos de f\u00fatbol) entre enero del 2017 y febrero del 2018 (indicado por los colores amarillo y rojo), en nuestra zona de inter\u00e9s. De eso, la mitad (651 hect\u00e1reas, ver color rojo) ocurri\u00f3 desde octubre, \u00e9poca en que la adquisici\u00f3n de im\u00e1genes \u00f3pticas es m\u00e1s complicada debido a la persistente cobertura nubosa.<\/p>\n

\"\"<\/a>
Imagen 79b. \u00c1rea deforestada por actividad minera, determinada a partir de im\u00e1genes de Sentinel-1 (polarizaci\u00f3n VV\/VH). Datos: ESA, SERNANP<\/div><\/div>\n

El sector m\u00e1s grave es La Pampa <\/strong>(sector Balata), con una deforestaci\u00f3n minera de 438 hect\u00e1reas (192 desde octubre). El otro sector grave, Alto Malinowsk<\/strong>i,\u00a0present\u00f3 una deforestaci\u00f3n minera de 178 hect\u00e1reas (84 desde octubre).<\/p>\n

<\/div>\n

Imagen \u00d3ptica<\/strong><\/h3>\n

Finalmente, la Imagen 79c<\/strong> es una imagen \u00f3ptica de la misma zona. Se puede observar c\u00f3mo el radar detect\u00f3 con precisi\u00f3n las zonas de nueva deforestaci\u00f3n.<\/p>\n

\"\"<\/a>
Imagen 79c. Imagen \u00f3ptica. Datos: Planet, SERNANP<\/div><\/div>\n
<\/div>\n

Referencias<\/strong><\/h3>\n

Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA.\u00a0https:\/\/api.planet.com<\/a><\/p>\n

 <\/p>\n

<\/div>\n

Cita<\/strong><\/h3>\n

Villa L, Finer M (2018) Viendo a trav\u00e9s de las Nubes: Monitoreo de Deforestaci\u00f3n con Radar. MAAP: 79.<\/p>\n

<\/div>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

En MAAP, hemos enfatizado el poder de los sat\u00e9lites con sensores \u00f3pticos (como Landsat, Planet, DigitalGlobe), los cuales tambi\u00e9n tienen una limitaci\u00f3n clave: la informaci\u00f3n sobre los bosques puede estar bloqueada por la presencia de nubes, un problema com\u00fan en un lugar lluvioso como la Amazon\u00eda. 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