@InProceedings{NascimentoZullRodr:2009:AsMiDa,
author = "Nascimento, Cristina Rodrigues and Zullo Junior, Jurandir and
Rodrigues, Luiz Henrique Antunes",
affiliation = "UNICAMP/CEPAGRI and UNICAMP/CEPAGRI and UNICAMP/FEAGRI",
title = "Associa{\c{c}}{\~a}o de minera{\c{c}}{\~a}o de dados e imagens
do sensor AVHRR/NOAA na busca de padr{\~o}es para
identifica{\c{c}}{\~a}o de {\'a}reas com
cana-de-a{\c{c}}{\'u}car no Estado de S{\~a}o Paulo",
booktitle = "Anais...",
year = "2009",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "7845--7853",
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 = "Image processing, Harmonic Analysis, NDVI, Processamento de
imagens, An{\'a}lise Harm{\^o}nica, NDVI.",
abstract = "Brazil is the first producer of sugar cane in the world. Despite
the economic and social importance of agribusiness to Brazil, it
is still very difficult to estimate the harvest of the its main
crops with the precision and anticipation needed, justifying the
study and development of new methods based on the use of remote
sensing data. The use of time series of AVHRR/NOAA images
presented a very satisfactory outcome, allowing an increase of the
objectivity of the methods of agricultural monitoring. The study
aims to evaluate the application of harmonic analysis in the time
series of images AVHRR/NOAA-17 aimed at identifying areas with
sugar cane in S{\~a}o Paulo state. In an analysis was first
tested the feasibility of the methodology and use of the technique
of decision trees in search of patterns that can be applied to
characterize the growing season 2006/2007. the images generated
from the application of harmonic analysis in the time series show
promise for the identification of areas with sugar cane in the
state. The methodology discussed in the patterns of
discrimination, from the application of algorithms, decision tree,
has proved efficient, but it is limited as the difficulty in
locating space of the pixels with such characteristics.",
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@80/2008/11.18.01.25",
url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.18.01.25",
targetfile = "7845-7853.pdf",
type = "T{\'e}cnicas de Classifica{\c{c}}{\~a}o e Minera{\c{c}}{\~a}o
de Dados",
urlaccessdate = "15 jun. 2024"
}