@InProceedings{CamposNSCCFCC:2017:AvTeDa,
author = "Campos, Taiana Loan de Lima and Nanni, Marcos Rafael and Souza,
J{\'e}ssica Saldanha and Campos, Rafael Moreno and Crusiol,
Lu{\'{\i}}s Guilherme Teixeira and Furlanetto, Renato Herrig and
Chicati, M{\^o}nica Sacioto and Capristo, Guilherme Fernando",
title = "Avalia{\c{c}}{\~a}o temporal de dados hiperespectrais obtidos
pelo sensor AisaFENIX ap{\'o}s processos de
calibra{\c{c}}{\~a}o",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3774--3781",
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 = "Over the last decades high spectral resolution or hypespectral
remote sensing is becoming a very important tool in researches of
Earth surface. Recently, Maring{\'a} State University
(Universidade Estadual de Maring{\'a} - UEM) acquired the
hyperspectral sensor AisaFENIX (Spectral Imaging - Specim),
meaning a new reality related to imaging spectroscopy in the
country. For a thorough understanding of sensors data collection
and processing, several experiments have been and are being
developed. In this scenario, experiments were conducted in 2015
and 2016, in which images were collected at around the same time
of the year and with similar solar angle, in order to evaluate the
quality of the data from the two years after sensor laboratory
calibration. On February 22nd, 2015 the first flight was
performed. The second aerial survey was held on May 1st, 2016. On
the route of both flights specific targets were arranged, with
spectral behavior already known. Through the hyperspectral images
radiance data of the cited targets were collected and analyzed
statistically, generating high values for the coefficient of
determination (R2 = 0.93 to 0.98). However, despite the similarity
of the albedos, there was significant difference between the years
(F test, \α = 0.05). Thus, the results demonstrate the
importance of the calibration process, so hyperspectral sensor
AisaFENIX remains stable in Brazilian conditions of humidity and
temperature, resulting in reliable data.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59627",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLTJB",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLTJB",
targetfile = "59627.pdf",
type = "Radiometria e sensores",
urlaccessdate = "08 maio 2024"
}