@InProceedings{GraçaMitiGonç:2017:EsCaDe,
author = "Gra{\c{c}}a, Niarkios Luiz Santos de Salles and Mitishita, Edson
Aparecido and Gon{\c{c}}alves, Jose Eduardo",
title = "Detec{\c{c}}{\~a}o de altera{\c{c}}{\~o}es ambientais a partir
de imagens digitais obtidas com plataforma VANT: Estudo de caso do
desastre ambiental na regi{\~a}o da comunidade Floresta Morretes
-PR",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "7542--7550",
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 = "UAV (unmade Aerial Vehicle) platforms have been used to acquire
low cost high resolution images and to perform many studies of
geoinformation extraction using Photogrammetry and Remote Sensing
approaches. Nowadays due to the operational ability to realize an
aerial survey for small areas, an UAV platform became the best
cost benefit to acquire high spatial and temporal resolution
images for Remote Sensing applications. This paper presents a
study done in order to detect environmental changes on the
Floresta community area, caused by an environmental disaster in
Serra do Mar - State of Paran{\'a} in March of 2011. The proposed
methodology to detect the environmental changes used a WorldView
image, showing the environmental conditions at the region in July
of 2011 and a block of images taken from an UAV platform in
December of 2011. The obtained results from the performed
experiments, showed that UAV images can be used to perform
accurate visual analyzes and to detect the environmental
alterations in the study region.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59334",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMFU2",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMFU2",
targetfile = "59334.pdf",
type = "Cartografia e fotogrametria",
urlaccessdate = "27 abr. 2024"
}