@InProceedings{MacielVinh:2017:CaStMu,
author = "Maciel, Adeline Marinho and Vinhas, Lubia",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Time series classification using features extraction to
identification of land use and land cover: A case study in the
municipality of Itaqui, South Region of Brazil",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "4429--4436",
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 = "One of the main applications in remote sensing is the analysis and
classification of land cover and land use. Sensors, such as MODIS,
are have been largely used for monitoring land cover change due to
its high temporal resolution. Although several studies perform
time series classification by features extracting or similarities
measures to verify annual usage patterns and land cover, a little
has been explored about the extraction of information by focal
neighborhood operation and different sub-intervals of a time
series whole. In order to explore the use of different features
extracted of annual time series, for sub-intervals and focal
neighborhood to identify patterns of land use and land cover, this
work takes the use of statistical measures already extracted in
the context of annual time series and presents an approach to
information extraction for sub-intervals of year and focal
neighborhood to characterise temporal patterns. To demonstrate the
applicability of this study an experiments were conducted to
classify of time series of land use and land cover using EVI MODIS
sensor data, using Random Forest algorithm, where resulted in the
creation of temporal maps identifying temporal patterns.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59305",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM352",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM352",
targetfile = "59305.pdf",
type = "An{\'a}lise de s{\'e}ries temporais de imagens de
sat{\'e}lite",
urlaccessdate = "20 set. 2024"
}