@InProceedings{BeigDarsSilv:2017:MaMuCo,
author = "Beig, Andr{\'e} Bresighello and Darski, Bianca and Silva, Thiago
Sanna Freire",
title = "Mapeamento de mudan{\c{c}}as na cobertura florestal das
v{\'a}rzeas amaz{\^o}nicas utilizando o algoritmo CLASlite",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3752--3759",
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 = "Given the effort and time demanded for manually mapping forest
cover change, tools that can automate this process are essential
for monitoring large areas. The CLASlite algorithm is one of many
tools that can be used for automated forest mapping, utilizing
fractional cover to generate a subpixel analysis. In areas such as
the v{\'a}rzea floodplains of the Amazon basin, the high
discharges and sediment loads, together with the shallow slopes,
generate a highly dynamic landscape due to fluvial processes. Our
study therefore evaluated the accuracy of the CLASlite forest
mapping algorithm in determining forest cover changes caused by
fluvial dynamics, by comparing automated results with manually
generated maps, both based on a time series of five Landsat 5/TM
images, from 2005 to 2009. The study site was a small subset of
the Mamirau{\'a} Sustainable Development Reserve, located in the
Solim{\~o}es/Amazon river floodplain, Brazil. By testing
different combinations of algorithm parameters for the CLASlite
forest cover mapping tool, we were able to determine how each
parameter influenced mapping accuracy. Overall, the CLASlite
algorithm has been shown to be very effective in mapping already
consolidated forest areas, but efficiency decreases for areas
closer to the riverbed, which are the most susceptible to river
dynamics.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59489",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLTFS",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLTFS",
targetfile = "59489.pdf",
type = "Desflorestamento",
urlaccessdate = "27 abr. 2024"
}