@InProceedings{GonçalvesRomZulÁviTra:2011:AnTeMu,
author = "Gon{\c{c}}alves, Renata Ribeiro do Valle and Romani, Luciana
Alvim Santos and Zullo J{\'u}nior, Jurandir and {\'A}vila, Ana
Maria Heuminski de and Traina, Agma Juci Machado",
affiliation = "{Cepagri / Feagri – Unicamp} and {Universidade de S{\~a}o Paulo –
USP/ICMC} and {Cepagri / Feagri – Unicamp} and {Cepagri / Feagri –
Unicamp} and {Universidade de S{\~a}o Paulo – USP/ICMC}",
title = "An{\'a}lise temporal de munic{\'{\i}}pios produtores de
cana-de-a{\c{c}}{\'u}car no estado de S{\~a}o Paulo por meio de
agrupamento do NDVI (AVHRR/NOAA) e dados de produtividade e
{\'a}rea",
booktitle = "Anais...",
year = "2011",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "591--598",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "remote sensing, K-means, biofuel, sensoriamento remoto,
K-m{\'e}dias, biocombust{\'{\i}}vel.",
abstract = "Sugar cane has become strategic to the Brazilian economy,
especially due to its importance in the replacement of fossil
fuels. In recent years, the development of bi-fuel car engines
leaded to a fast increase in the demand for ethanol, one of the
most important derivatives of sugar cane. Therefore, it is very
important to monitor the crop seasons in order to estimate the
yield of sugar cane as well as to evaluate the expansion of this
crop in the country. There are several models to estimate the
sugar cane production involving physiological, meteorological and
pedological variables. However, the use of satellite images to aid
in the monitoring of sugar cane production has increased greatly
in recent years. In this context, this paper presents an
assessment of the distribution of sugar cane regions in the last
eight crop seasons, according to three different clusters. The
test area was the most important region of sugar cane production
in the S{\~a}o Paulo state, Brazil. In the experiments, we have
used annual variables of NDVI (from AVHRR/NOAA), planted area and
productivity values. These variables were used to define the three
clusters by a clustering technique. Results showed that there was
an increasing in the number of regions in the cluster where the
planted area is greater over the years, confirming the sugar cane
expansion to other areas.",
conference-location = "Curitiba",
conference-year = "30 abr. - 5 maio 2011",
isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW/39ULRCR",
url = "http://urlib.net/ibi/3ERPFQRTRW/39ULRCR",
targetfile = "p0861.pdf",
type = "Agricultura",
urlaccessdate = "15 jun. 2024"
}