@InProceedings{NovaesAlmeRudoAgui:2011:CePrBa,
author = "Novaes, Maikon Roberth de and Almeida, Cl{\'a}udia Maria de and
Rudorff, Bernardo Friedrich Theodor and Aguiar, Daniel Alves de",
affiliation = "{Instituto Brasileiro de Geografia e Estat{\'{\i}}stica – IBGE}
and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Cen{\'a}rios progn{\'o}sticos baseados em modelagem
din{\^a}mica espacial para o manejo da colheita da
cana-de-a{\c{c}}{\'u}car no estado de S{\~a}o Paulo",
booktitle = "Anais...",
year = "2011",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "407--414",
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, sugarcane, environment protocol, Markov chain,
sensoriamento remoto, canade-a{\c{c}}{\'u}car, protocolo
ambiental, cadeia de Markov.",
abstract = "Since 2006, the National Institute for Space Research (INPE), in
conjunction with the Environmental Department of S{\~a}o Paulo
State (SMA-SP) and the Brazilian Sugarcane Industry Association
(UNICA), is monitoring the practice of sugarcane straw burning
during harvest in S{\~a}o Paulo State, Brazil, using remote
sensing images. An environmental protocol signed between SMA-SP
and the private agro-industrial sugarcane sector in 2007 agreed to
stop sugarcane straw burning by the year 2014 for mechanized
areas. This study aims to evaluate the use of dynamic modeling
scenarios through a stationary model based on Markov chain to
generate spatial predictions of sugarcane harvest practice for the
year 2014. The model was based on the harvest practice of burned
and not burned sugarcane fields during the period of 2006 to 2008
in the municipalities of Ribeir{\~a}o Preto, Jau and its
surroundings. Due to its high dynamic and sensitivity to a large
number of economic factors, in addition to a reduced period of
observations, the model could not correctly assure projections
expected for the year of 2014.",
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/39TMBEH",
url = "http://urlib.net/ibi/3ERPFQRTRW/39TMBEH",
targetfile = "p1363.pdf",
type = "Agricultura",
urlaccessdate = "15 jun. 2024"
}