@InProceedings{SilvaSouJuvPelSan:2017:AnCoDa,
author = "Silva, Rosane Gomes and Souza, Ka{\'{\i}}se Barbosa de and
Juvanhol, Ronie Silva and Peluzio, Telma Machado de Oliveira and
Santos, Alexandre Rosa dos",
title = "An{\'a}lise da confiabilidade dos dados MODIS para estudo da
vegeta{\c{c}}{\~a}o em s{\'e}ries temporais",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "539--545",
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 = "MODIS vegetation index data has been widely used for the study of
vegetation, and in preprocessing steps, is important to remove
spurious pixels flagged as clouds or noise. The aim of this study
was to analyze the quality of the product MOD13Q1 in native forest
area, considering the rainy and dry seasons between 2010 and 2014.
115 VI Quality and Pixel Reliability images of MODIS sensor were
used, corresponding to the period from January 2010 to December
2014. Masks were created, in which defective pixels received value
1 and the reliable pixels received 0. The masks were added and the
analysis carried for the rainy season, from October to March and
the dry season, from April to September. The results showed a
higher presence of spurious pixels in the rainy season coming to
occupy about 45% of the total area in some images, while in the
dry season this value did not exceed 10%. The persistence of
spurious pixels occurred in no more than 5 of the 60 images to a
same pixel in the dry season. In the rainy season in some regions,
20 of 55 images have failed in same pixel. However, most of the
area showed a failure of at most 10 pixels. Overall, the MODIS
images MOD13Q1 product showed high quality and is suitable for the
study of vegetation in time series. Furthermore, it is essential
in the preprocessing step, the removal of spurious pixels and
their replacing with interpolation techniques.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59881",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS44FC",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44FC",
targetfile = "59881.pdf",
type = "Processamento de imagens",
urlaccessdate = "15 jun. 2024"
}