@InProceedings{RochaPerz:2013:CoAsTh,
author = "Rocha, Karla da Silva and Perz, Stephen George",
title = "Variation in deforestation estimates: a comparative assessment of
three remote sensing protocols for the case of Acre, Brazil",
booktitle = "Anais...",
year = "2013",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "8184--8191",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Many deforestation estimates have been derived from the Landsat
platform in the past 30 years. More recently, estimates have also
been produced from other orbital platforms, or using distinct
methods of image processing and classification. As a result, there
is often a diversity of estimates of LULCC available for
high-profile study regions. Deforestation is increasingly seen as
a metric for evaluating the effectiveness of environmental
policies, and different estimates can be politicized by groups
with interest in higher or lower estimates. Further, clean
development mechanisms involving forest conservation have advanced
toward implementation but require accurate estimates of forest
cover with which to determine environmental service payments. Such
issues are at play in many regions, notably the Brazilian Legal
Amazon (BLA), where deforestation has proceeded rapidly, resulting
in biodiversity loss and carbon emissions. This paper therefore
compares deforestation estimates in the Amazon using data from
multiple remote sensing studies. The main goal is to evaluate
specific steps in remote sensing methodology to identify factors
that account for differences in the resulting deforestation
estimates. The comparison focuses on deforestation estimates from
three different sources. The analysis shows differences in
deforestation estimates; while there are many possible sources of
such differences, in this analysis estimates vary primarily due to
definitions of land cover classes.",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "13-18 abr. 2013",
isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
label = "720",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW34M/3E7GFJG",
url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GFJG",
targetfile = "p0720.pdf",
type = "Processamento de Imagens",
urlaccessdate = "05 jun. 2024"
}