@InProceedings{FreitasPinZanSarDia:2017:MeMaRe,
author = "Freitas, Bruna dos Santos and Pintado, Tamires Pereira and
Zanotta, Daniel Capella Capella and Sartorio, Let{\'{\i}}cia
Figueiredo and Dias, Fabiano Soares",
title = "Metodologia para mapeamento retroativo do desflorestamento na
Amaz{\^o}nia brasileira",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "7393--7400",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This paper aims at introduce a methodology developed to recover
the Amazon deforestation occurred before 1997. The official
mapping performed by FUNCATE team along PRODES project since 1988
was built initially by visual interpretation over printed maps in
order to compute the overall deforestation rates. After 1997, the
deforestation maps were developed by a computer aid process,
hereafter producing digital deforestation maps available year by
year until today. Even the deforestation monitoring exists since
1988, the amount of deforested area was large mainly in decade of
1970. Thus, deriving deforestation maps for years prior to 1988 is
crucial to social, environmental, climatic and ecologic studies.
Given the cost and labor intensity of the visual interpretation
performed by PRODES, it is of great value to apply an effective
methodology in order to recover this untouched information to
support studies about issues so far unaddressed. The methodology
consists in download images with fine quality and correction and
compare this data with data provided by PRODES. The main aim of
the proposed deforestation detection maps is to develop a mapping
very similar to the one executed by PRODES team, keeping
confidence and consonance with their results, but automatically
made. The results were after spread through a WEBSIG system
developed by the project specially to address the social demand.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59606",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMFL2",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMFL2",
targetfile = "59606.pdf",
type = "Paisagens naturais",
urlaccessdate = "27 abr. 2024"
}