@InProceedings{PicoliAnjRosRizRud:2005:SPMeAm,
author = "Picoli, Michelle Cristina Ara{\'u}jo and Anjos, Camila Souza dos
and Rosa, Viviane Gomes Cardoso and Rizzi, Rodrigo and Rudorff,
Bernardo Friedrich Theodor",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Estimativa de {\'a}rea com cana-de-a{\c{c}}{\'u}car na
micro-regi{\~a}o de Ribeir{\~a}o Preto - SP por meio de
amostragem por segmentos quadrados",
booktitle = "Anais...",
year = "2005",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria
Garcia",
pages = "213--216",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
publisher = "INPE",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "sampling method, crop area mapping, sugarcane, amostragem,
mapeamento de {\'a}rea agr{\'{\i}}cola,
cana-de-a{\c{c}}{\'u}car.",
abstract = "Sugarcane is among the most important commodities to Brasil;
therefore, accurate information about sugarcane production is a
relevant task. Several methods are available to provide
agricultural statistics for municipal, regional, state or country
level. In the present work we tested a sampling method that uses
remote sensing images together with Geographic Information System
(GIS) to accurately estimate sugarcane area at the regional level
for the region of Ribeir{\~a}o Preto which is the most relevant
sugarcane production region of S{\~a}o Paulo State, Brazil. To
evaluate the results of this study a sugarcane reference map was
available. It was found that with a selected sample set of 165
segments with 1 x 1 km, sugarcane area could be estimated with a
relative difference of only 4.2% (120 ha) and at a confidence
level of 99%. The result is encouraging since it can be obtained
early in the crop year season, is independent of subjective
information and provides an error associated to the area
estimation.",
conference-location = "Goi{\^a}nia",
conference-year = "16-21 abr. 2005",
isbn = "85-17-00018-8",
language = "Portugu{\^e}s",
organisation = "Instituto Nacional de Pesquisas Espaciais",
ibi = "ltid.inpe.br/sbsr/2004/11.22.09.20",
url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.22.09.20",
targetfile = "213.pdf",
type = "Agricultura",
urlaccessdate = "16 jun. 2024"
}