@Book{DuarteShimAuli:2002:MeCoDi,
author = "Duarte, Valdete and Shimabukuro, Yosio Edemir and Aulicino, Luigi
Carli Marroni",
title = "Metodologia para corrigir as distor{\c{c}}{\~o}es observadas
entre os mapeamentos temporais do projeto PRODES digital",
publisher = "INPE",
year = "2002",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "AGRONOMIA, desflorestamento, desmatamento, distor{\c{c}}{\~a}o,
metodologia, exatid{\~a}o geom{\'e}trica, an{\'a}lise de
imagens, methodology, distortion, geometric accuracy,
deforestation.",
abstract = "A transposi{\c{c}}{\~a}o de informa{\c{c}}{\~o}es de
desflorestamento geradas a partir das imagens Landsat em anos
subseq{\"u}entes n{\~a}o {\'e} t{\~a}o simples como se pensava
inicialmente. Foi verificado que, al{\'e}m do erro de registro
das imagens que em m{\'e}dia ficou em torno de dois pixels (60m),
haviam outros tipos de erros oriundos dos algoritmos do software
SPRING. Estes problemas comprometem seriamente a principal
vantagem do PRODES digital que {\'e} eliminar os erros de
distor{\c{c}}{\~o}es geom{\'e}tricas e a conseq{\"u}ente falta
de georreferenciamento e ajuste dos pol{\'{\i}}gonos de
desflorestamento muito comum no m{\'e}todo visual de
interpreta{\c{c}}{\~a}o (anal{\'o}gico). Esta
situa{\c{c}}{\~a}o n{\~a}o admitiria que os dados gerados no
PRODES digital tivessem uma futura atualiza{\c{c}}{\~a}o e/ou
integra{\c{c}}{\~a}o com outras informa{\c{c}}{\~o}es devido
aos erros geom{\'e}tricos introduzidos. Considerando as
observa{\c{c}}{\~o}es acima, o objetivo deste trabalho {\'e}
apresentar uma metodologia para corrigir as distor{\c{c}}{\~o}es
observadas entre os dados de mapeamentos obtidos pelo projeto
PRODES digital no ano-base de 1997 e a atualiza{\c{c}}{\~a}o dos
incrementos de desflorestamento para o per{\'{\i}}odo coberto
pelas imagens TM de 1997 e de 2000. ABSTRACT: The transposition of
deforestation information generated from the Landsat images in
subsequent years is not simple as it was thought initially. It was
verified that, besides the image registration error that was
around two pixels (60m)in average, there were other types of
errors generated by the algorithms of the SPRING software. These
problems commit seriously the main advantage of digital PRODES
that is to eliminate the geometric distortion errors and the
consequent lack of georreferencing and adjustment of the
deforestation polygons very common in the visual interpretation
(analogical)method. This situation would not admit that the data
generated in the digital PRODES would have a future updating
and/or integration with other information due to the introduced
geometric errors. Considering the observation above, the objective
of this work is to present a methodology for correcting the
distortions observed between the mapping data obtained by the
digital PRODES project in the 1997 base-year and the updating of
the deforestation increments for the period covered by the 1997
and 2000 TM images.",
label = "9752",
language = "pt",
pages = "15",
ibi = "6qtX3pFwXQZ3r59YD6/GPAaf",
url = "http://urlib.net/ibi/6qtX3pFwXQZ3r59YD6/GPAaf",
targetfile = "INPE 8760.pdf",
urlaccessdate = "27 abr. 2024"
}