%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.15.58.39
%2 sid.inpe.br/marte2/2017/10.27.15.58.40
%@isbn 978-85-17-00088-1
%F 59976
%T Classificação Digital de Imagens aplicada ao monitoramento do processo de arenização no município de Quaraí ? Rio Grande do Sul
%D 2017
%A Bittencourt, Amanda Suarez,
%A Paroli, Eliziéle Nunes,
%A Florez, Yesica Ramirez,
%@electronicmailaddress amandasuarez00@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 6930-6935
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The presented work aims to use remote sensing techniques to perform a temporal analysis on the phenomenon of arenization in the municipality of Quaraí, State of Rio Grande do Sul. the event is the result of sand deposit, consequence of water and wind dynamics. the immediate outcome is the difficult for the vegetation to allocate in this areas. the methodology was based on multitemporal Landsat imagery, sensors TM (Landsat 5) and OLI (Landsat 8), orbit 224 and point 081, made available by the United States Geological Survey - USGS - and the National Institute of Space Research INPE. We used a supervised classification approach to identify the areas of sand deposit for the years of 1986, 1996, 2006 and 2016. We used the MaxVer algorithm The year of 2006 presented the most accumulation of sand, with 157.77 ha, contrasting with the year of 1986, with 138.06 ha, the least accumulation. The results made possible to quantify the dynamic of the arenization in the study area during the period. The methodology can be applied in any other area of study, for example other municipalities of the southwest region of Rio Grande do Sul State, since the area is affected by the phenomenon.
%9 Análise de séries temporais de imagens de satélite
%@language pt
%3 59976.pdf