@InProceedings{FerreiraJrRochPontAraú:2009:AnSaQu,
author = "Ferreira Junior, Laerte Guimar{\~a}es and Rocha, Joana Carolina
Silva and Pontes, Marlon Nemayer Celestino de and Ara{\'u}jo,
Fernando Moreira de",
affiliation = "{Universidade Federal de Goias} and {Universidade Federal de
Goias} and {Universidade Federal de Goias} and {Universidade
Federal de Goias}",
title = "An{\'a}lise sazonal da qualidade e abrang{\^e}ncia de imagens
MODIS {\'{\i}}ndice de vegeta{\c{c}}{\~a}o para o bioma
Cerrado",
booktitle = "Anais...",
year = "2009",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "1347--1352",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "Cerrado, s{\'e}ries temporais MOD13Q1, monitoramento de
desmatamentos, Cerrado, MOD13Q1 time series, deforestation
monitoring.",
abstract = "The Cerrado biome, strategically situated in the Brazilian Central
Plateau and widely and heterogeneously spread along a variety of
latitudes, longitudes and altitudes, is the richest savanna in the
world and a major contributor to some of the largest and most
important watershed basins in South America. On the other hand,
the Cerrado is the most severely threatened biome in Brazil, with
more than 40% of its original area already converted to
agricultural crops and cultivated pastures. In this study, which
is part of a larger effort aiming at the monitoring of the Cerrado
vegetative cover, we evaluated the effective availability of
moderate spatial resolution remote sensing data for the 2001 -
2007 period. The analysis of the 16 day composited MOD13Q1
(vegetation indices) product indicated that only data from April
to September is capable of covering more than 80% of the biome
remnant vegetation. Depending on the frequency at which the biome
is to be monitored, alternatives to this critical data gap may
include spatial and temporal interpolation (e.g. via algorithms
like Timesat or frequency domain transformations), as well as the
combined use of optical and SAR imagery.",
conference-location = "Natal",
conference-year = "25-30 abr. 2009",
isbn = "978-85-17-00044-7",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "dpi.inpe.br/sbsr@80/2008/11.13.09.28",
url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.13.09.28",
targetfile = "1347-1352.pdf",
type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Imagens Multitemporais",
urlaccessdate = "27 abr. 2024"
}