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O indice de sensibilidade ambiental (ISA) e representado por numeros que variam de 1 a 10, especificando a escala de impacto causado pelo oleo, quanto maior for o seu valor, maior e o indice de sensibilidade. O derramamento de oleo ja nao e mais um fato isolado e esporadico no mundo, causando inumeros impactos ambientais, portanto, a producao de mapas que representam o ISA tornou-se importante para a implementacao de planos de contingencia e de emergencia. O municipio de Curuca, regiao nordeste do estado do Para, nao possui um mapa de semi-detalhe, assim, este trabalho teve como objetivo a construcao de um mapa tatico na escala de 1:100.000 e o reconhecimento dos ambientes costeiros atraves do processamento de imagens Landsat e do levantamento de campo contribuindo para a identificacao das areas que mais sofrerao com um eventual derramamento de oleo. Deste modo foi possivel classificar oito indices: ISA 1B muro de arrimo, ISA 1C falesias, ISA 3A praias de areia fina e dunas expostas, ISA 7 planicie de mare arenosa, ISA 9 delta de mare vazante, ISA 10A pântano salino; ISA 10B pântano de agua doce e ISA 10C manguezal. Assim, os ISA’s sao produtos que representados em mapa podem ajudar na tomada decisoes na prevencao e no controle de acidentes durante as atividades de producao e no transporte do oleo usado pelas companhias produtoras, tornando-se uma boa estrategia de prevencao, a qual pode evitar os altos custos das operacoes de limpeza e recuperacao de ambientes impactados no caso de derramamentos de oleo e cargas de risco. ABSTRACT : The environmental sensitivity index (ESI) is represented by a scale ranging from 1 to 10, where the intensity of the impact caused by the oil spill is specified and, the higher the value the higher the sensitivity index. Oil spills impact the environment and are not exclusive to certain regions of the world. Therefore, the production of maps representing the ESI has become important for the implementation of contingency and emergency plans. Curuca city, located in northeastern Para state, does not have a map of semi-detailed environmental sensitivity, for that reason, this study aimed to generate a tactical map, scale of 1:100,000, with recognition of coastal environments identified by digital processing of Landsat images and field surveys. The map will help identify the areas more prone to suffer from a possible oil spill. Thus, eight indices were classified as follows: ESI 1B retaining wall, ESI 1C cliffs, ESI 3A sandy beaches and exposed dunes, ESI 7 sandy tidal flat, ESI 9 ebb tide delta, ESI 10A salt marsh, ESI 10B freshwater marsh and ESI 10 mangrove. Finally, the ESI represented in these maps can support the decision making process to prevent and control accidents that may happen during oil production and transportation. Benefits may reflect on lower costs of cleaning and restoration of the impacted areas in case of oil and other potentially harmful load spills. Keywords : environmental sensitivity index; remote sensing; coastal environment

MAPPING OF ENVIRONMENTAL SENSITIVITY INDEX TO OIL SPILL FROM LANDSAT TM IMAGES: “A STUDY CASE ON THE AMAZON COASTAL PLAIN”