%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.16.35.22
%2 sid.inpe.br/marte2/2017/10.27.16.35.23
%@isbn 978-85-17-00088-1
%F 59382
%T Integração de técnicas de Sensoriamento Remoto e AHP no mapeamento de áreas susceptíveis a escorregamentos no município de Angra dos Reis - RJ
%D 2017
%A Camargo, Leandro de Souza,
%A Silva, Sonia Maria Lima,
%@electronicmailaddress leandrocamargocartografo@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 8014-8021
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The use and occupation of large urban centers in a disorderly manner have been accompanied by various disasters, causing damage in several scales with the loss of human lives and property. This study aims to identify areas with increased susceptibility to landslides from the analysis of several conditions that favor those events. The area selected for the development of this study was the municipality of Angra dos Reis, State of Rio de Janeiro, having as justification the feature of having been the scene of major natural disasters such as the one in 2010 in Morro da Carioca. This research identified the areas prone to landslides through the analysis of data from different sources, such as digital surface models (DSM), orbital satellite images and others, using a statistical method of analysis - Analytic Hierarchy Process (AHP). The methodology involved: (1) the determination of the main conditioning factors that trigger the slip events; (2) the preparation of maps representing such conditioning factors; (3) the analysis of conditions by using the Analytic Hierarchy Process (AHP); (4) assigning weights for each of such conditioning factors according to their importance; (5) developing a map of areas susceptible to landslides. The validation of the final map was made by comparing the regions classified in this paper with the events that occurred in the city. Most regions classified in the range between high and very high were targets of landslide events between the years 2002 and 2013, demonstrating that the proposed methodology can contribute in a relevant way to land management projects.
%9 Risco ambiental
%@language pt
%3 59382.pdf