@InProceedings{RoversiScMaAmRoNe:2017:AlMoEv,
author = "Roversi, Fernando and Scudelari, Ada Cristina and Matos, Maria de
F{\'a}tima Alves and Amaro, Venerando Eust{\'a}quio and Rosman,
Paulo Cesar Colonna and Neves, Claudio Freitas",
title = "Altera{\c{c}}{\~o}es morfol{\'o}gicas e evolu{\c{c}}{\~a}o da
carcinicultura no Sistema Lagunar de Guara{\'{\i}}ras - RN",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6312--6319",
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 = "This paper presents a spatio-temporal analysis of the
Guara{\'{\i}}ras Lagoon System (Rio Grande do Norte State,
Brazil) focusing on its morphological changes and the shrimp
farming expansion over the last 32 years. The local history is
marked by an abrupt transition of its ecosystem about hundred
years ago, that has transformed its ecological, morphological and
socio economic characteristics till current days. The
investigation was based on the complete collection of Landsat 5 TM
and Landsat 8 OLI imagery, from 01/01/1985 to 10/31/2016. Data
processing was performed using Google Earth Engine platform (cloud
computing) and ArcMap 10.2.2 software. Eight mosaics - adopting
reduced cloud coverage (minimum Cloud Score) at four-year
intervals - were generated to compose RGB colored images using
spectral bands: SWIR, NIR and Blue. Such combination highlighted
shorelines and contrasted bodies of water. Areas computed by
supervised classification were compared to the areas computed by
orthophotos vectorization (2,0 m spatial resolution). The results
pointed an intense erosive process at the inlet channel at an
average retreat rate of 6.84 m/year (measured on the region of
greatest change). It could also be observed an expressive
expansion of the shrimp farming activity around the entire lagoon
system at an average growth rate of 30.3 ha/year. Currently it
covers a total area of 1,528.1 ha.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59348",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMCLP",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMCLP",
targetfile = "59348.pdf",
type = "An{\'a}lise de s{\'e}ries temporais de imagens de
sat{\'e}lite",
urlaccessdate = "27 abr. 2024"
}