@InProceedings{MelloAdamRudoAgui:2012:CaPrAc,
author = "Mello, M{\'a}rcio Pupin and Adami, Marcos and Rudorff, Bernardo
Friedrich Theodor and Aguiar, Daniel Alves de",
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)}",
title = "Canasat Project accuracy assessment of sugarcane thematic maps",
booktitle = "Proceedings...",
year = "2012",
pages = "281--286",
organization = "International Symposium on Spatial Accuracy Assessment in Natural
Resources and Environmental Sciences, 10.",
publisher = "International Spatial Accuracy Research Association (ISARA)",
keywords = "Remote sensing, web platform, sampling, Monte Carlo method.",
abstract = "In order to perform the thematic accuracy assessment of Canasat
Project mapping, we used a novel approach to construct the
reference dataset which consists of a web platform used to
integrate remote sensing images, time series, and ancillary data.
Results showed that, although Canasat Project mapping of sugarcane
areas has a mean overall accuracy of 98%, the mean thematic error
associated with sugarcane area estimates was of 0.7%, since part
of the omission errors was compensated by the inclusion errors.
Despite assessing only one crop year (2010/2011) we would also
expect to obtain very similar results for other crop years due to
the consistent method and the careful visual interpretation
carried out by the Canasat Project experienced team.",
conference-location = "Florian{\'o}polis, SC,",
conference-year = "2012",
label = "lattes: 4872965504009836 2 MelloMelAdaAguRud:2012:CaPrAc",
language = "en",
targetfile = "Mello_canasat.pdf",
url = "http://www.dsr.inpe.br/~mello",
urlaccessdate = "30 abr. 2024"
}