@InProceedings{ChameletVazRibe:2017:ApDaGN,
author = "Chamelet, Ta{\'{\i}}s and Vaz, Jhonnes Alberto and Ribeiro,
Gilberto Pessanha",
title = "Aplica{\c{c}}{\~a}o de Dados GNSS para o Monitoramento de
Din{\^a}mica Costeira da Por{\c{c}}{\~a}o NE do
Munic{\'{\i}}pio de Ilha Comprida ? SP",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1361--1367",
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 great dynamics of the coastal zone is associated to natural
processes, such as anthropic that accelerate and emphasize the
effects of erosion. The area of study of this project consists in
the NE portion of Ilha Comprida, located in the Canan{\'e}ia -
Iguape lagoon region, S{\~a}o Paulo coast. This area has large
indices of erosion that were intensified by anthropic actions, in
this case the opening of the artificial channel Vale Grande in
1852, which connects Ribeira de Iguape River to the Mar Pequeno
sea. In this scenario, it is evidenced the necessity of
monitoring, considering the site''s high dynamic. The objective of
this work is to evaluate the use of GNSS data for monitoring the
coastal dynamics, applying the method on the NE portion of Ilha
Comprida - SP. The data used on the research were collected in 5
fields in the years of 2015 and 2016, a GNSS receptor provided
data acquired every one second of the vegetation line on the sand
track. Through this data, there was obtained the propagation
velocity vector of the island to NE. After the analyses of the
vegetation line, it was concluded that the use of GNSS data is
needed and through it is possible to do costal dynamics analysis,
not only for determining the velocity vector, but also other
related demands.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59584",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS4GJ9",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GJ9",
targetfile = "59584.pdf",
type = "Monitoramento e modelagem ambiental",
urlaccessdate = "08 maio 2024"
}