@InProceedings{Namikawa:2017:ExApSe,
author = "Namikawa, Laercio Massaru",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Mapeamento para emerg{\^e}ncias com CBERS-4: Um exemplo de
aplica{\c{c}}{\~a}o do sensor PAN",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3192--3199",
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 = "Satellite based emergency mapping (SEM) for the response phase
aims to provide information for an overview of the disaster
scenario. The overview could be used to direct rescue efforts and
relief operations in the short time frame after the disaster, from
days to few weeks. The type of satellite image depends on the type
of the disaster, mostly optical ones, with radar images being used
for flooding when cloud coverage would hinder observations.
CBERS-4 satellite has four optical sensors, with spatial
resolution ranging from 5 meters to 64 meters. In this paper, the
capabilities of PAN panchromatic and multispectral sensor are
analyzed to map affected infrastructure. The test case is an event
of high winds associated with a storm that occurred in June 5th,
2016 in S{\~a}o Paulo State, Brazil. CBERS-4 PAN sensor images
were obtained from acquisition dates April 20th, 2016 and June
11th, 2016. Since most uses of optical satellite images for
emergency mapping is done by visual interpretation of damaged
infrastructure, the main objective here is on the identification
of damaged buildings and broken trees from a field observation of
the area on October 9th, 2016 and from news and personal accounts
about the event. CBERS-4 images from PAN sensor were able to
identify damages to large buildings and uprooted and broken
vegetation.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "61625",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLSGE",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLSGE",
targetfile = "61625.pdf",
type = "Cartografia e fotogrametria",
urlaccessdate = "27 abr. 2024"
}