Detecção de mudanças na costa de manguezais da amazônia a partir de imagens multisensores e abordagem orientada a objetos

Abstract

In recent years, the degradation of mangroves has been occurring more frequently due to plundering of their natural resources, land planning and poorly planned tourist activities. Through remote sensors can map huge areas more quickly and efficiently. This study aimed to map the distribution of mangrove areas Bay Marajó (PA) to the bay of São Jose de Ribamar (MA) in 1996 and 2008 from remote sensing data (ALOS / PALSAR, JERS-1, SRTM and LANDSAT 5 TM). To perform the classification of images was used the logic of object-oriented classification. The result of the quantification of mangroves was 6705.05 km² (1996) and 7423.60 km² (2008) which shows a net increase in mangrove area of 718.55 km². The change detection map allowed an additional total of 1931.04 km², a total erosion of 1212.49 km², remains an area of 5492.56 km² of mangrove unchanged.Pages: 3472-347

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