%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.12.49.29
%2 sid.inpe.br/marte2/2017/10.27.12.49.30
%@isbn 978-85-17-00088-1
%F 59653
%T Utilização de imagens do satélite de alta resolução RapidEye para análise da resiliência da população as margens do rio Una, Palmares, Pernambuco, Brasil
%D 2017
%A Silva, Betânia Queiroz da,
%A Silva, Luciana Maria Da,
%A Schuller, Carlos Alberto Borba,
%@electronicmailaddress bethqueiroz@gmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 2784-2791
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X In 2010, the district of Palmares, located in the state of Pernambuco, suffered a big environmental impact due to a strong flood of the River Una, with repercussions on several to the resident population. This work presents socio-environmental conjunctures afterward flood due this event is considered of high magnitude. For this was used RapidEye high spatial resolution satellite image of year 2015 of the area to check the occupation, contrasted with on-site visit and the data of the Chart of Susceptibility to the flood of the CPRM, which enabled us identify the area classification as high, medium and low risk. This context highlights that interventions have been taken by the government to combat and minimize new flooding due the risk that the area presents to the population, for example, the development Chart of Susceptibility to the flood, Digital Terrain Models (DTM), both necessary for this research. With the analyzes it was evidenced that the population continues to occupying many areas affected by flood and that even with the development of public projects to combat flooding the region is still very vulnerable. This context emphasized that, the monitoring of the affected areas is a substantial factor to detecting impacts and to forestalling future risks. It is noteworthy that all products were generated from the high resolution image data, which allow a better interpretation of the area and aid in the restructuring projects.
%9 Recursos hídricos
%@language pt
%3 59653.pdf