@InProceedings{RodriguesSouMorDuaSou:2017:EmImLa,
author = "Rodrigues, Linara Ivina Castro and Souza, Cassiano Dias and
Moror{\'o}, Emanuel Andrade Albuquerque and Duarte, Cynthia
Romariz and Souto, Michael Vandesteen Silva",
title = "Emprego de imagens Landsat na an{\'a}lise temporal da linha do
litoral da Praia de Ponta Grossa ? Cear{\'a}",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "570--576",
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 coastal area is subject to continuous morphodynamic changes
caused by processes such as, sea level fluctuations, erosive and
depositional dynamics associated with the action of the waves,
tides, currents flow and wind dynamics, being characterized as a
very unstable environment. Due to the high economic and landscape
interest of these areas, it is important to study and coastal
monitoring. This article intent to study the sedimentary dynamics
of Ponta Grossa beach, from time series of Landsat images. The
area is located in the eastern portion of the city of
Icapu{\'{\i}} -CE, which is characterized as one of the most
complex environmental systems in Cear{\'a}s coast. The steps for
processing consisted at first, in the pre-processing relating to
the initial processing of the data (georeferencing of images),
followed by the application of color compositions to highlight the
contrast between features and the vectorization of the coastline.
Thereby, it was possible to observe a very active coastal dynamic
with progressive development of sedimentation and relates it to
change processes that influence its dynamics. From images of time
series Landsat was possible to obtain quantitative data showing
that the total sediment budget in the analyzed period was
positive, with higher sedimentation rates for the periods of
1997-2001 and 2005-2009, and the lowest from 1993 -2001.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59705",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS44GL",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44GL",
targetfile = "59705.pdf",
type = "An{\'a}lise de s{\'e}ries temporais de imagens de
sat{\'e}lite",
urlaccessdate = "27 abr. 2024"
}