@InProceedings{BittencourtParoFlor:2017:ClDiIm,
author = "Bittencourt, Amanda Suarez and Paroli, Elizi{\'e}le Nunes and
Florez, Yesica Ramirez",
title = "Classifica{\c{c}}{\~a}o Digital de Imagens aplicada ao
monitoramento do processo de areniza{\c{c}}{\~a}o no
munic{\'{\i}}pio de Quara{\'{\i}} ? Rio Grande do Sul",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6930--6935",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The presented work aims to use remote sensing techniques to
perform a temporal analysis on the phenomenon of arenization in
the municipality of Quara{\'{\i}}, 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.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59976",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMDQB",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMDQB",
targetfile = "59976.pdf",
type = "An{\'a}lise de s{\'e}ries temporais de imagens de
sat{\'e}lite",
urlaccessdate = "27 abr. 2024"
}