@InProceedings{CarneiroSaBeAmCoBoAr:2017:AnMuEv,
author = "Carneiro, Aless{\^a}nia Silva de Lucena and Santos, Andr{\'e}
Luis Silva dos and Bezerra, Denilson da Silva and Amaro, Venerando
Eust{\'a}quio and Costa, Bruno Cesar Pereira and Borges, Helder
Pereira and Aroucha, R{\^o}mulo Jord{\~a}o",
title = "An{\'a}lise multitemporal da evolu{\c{c}}{\~a}o de {\'a}reas
de manguezais na ilha do Maranh{\~a}o com dados de sensoriamento
remoto",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "4918--4924",
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 main objective of this study is to analyze the evolution of
mangrove areas of Maranh{\~a}o Island, Northeast Brazil,
considering a multi-temporal approach (2010 to 2015), evaluating
qualitatively and quantitatively the changes occurred in the
vegetation cover. We used Landsat 5 TM and Landsat 8 OLI satellite
images from 2010 and 2015 respectively, obtained from the USGS
website and process with QGIS software. The mangrove areas was
done through visual interpretation using NDVI and RGB composition
for later vectorization. Its areas were calculated obtaining a
total area of mangrove for the year 2010 and for 2015, thus
obtaining a comparison. The result of multitemporal analysis show
a reduction in the mangrove area in this interval of five years
and that the remote sensing was an efficient tool to detect this
change. This work subsidy the studies on the effects of coastal
erosion for the ecosystem and the implications for sea level
rise.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59396",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM3TR",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM3TR",
targetfile = "59396.pdf",
type = "Paisagens naturais",
urlaccessdate = "27 abr. 2024"
}