@InProceedings{PantojaBeDOCaLuSc:2019:PoOpMo,
author = "Pantoja, Nara and Beuchle, Ren{\'e} and D'Oliveira, Marcus and
Cassol, Henrique and Lui, Gabriel and Schmitt, Jair",
affiliation = "{Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais
Renov{\'a}veis (IBAMA)} and {Joint Research Centre (JRC)} and
{Empresa Brasileira de Pesquisa Agropecu{\'a}ria (EMBRAPA)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Minist{\'e}rio do Meio Ambiente (MMA)} and {Minist{\'e}rio do
Meio Ambiente (MMA)}",
title = "The potential for operational monitoring of selectively logged
forest using vegetation index in the brazilian Amazon",
booktitle = "Anais...",
year = "2019",
editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco
and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
pages = "2906--2909",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "forest degradation, selective logging, Brazilian Amazon, change
detection, NBR.",
abstract = "This work presents a approach for monitoring forest degradation in
the Brazilian Amazon using a multi-temporal dataset of Landsat-8
imagery. We use a Normalized Burned Ratio (NBR) for detecting
selective logging in two differents areas in the Brazilian Amazon,
Acre State and the Roraima State. The proposed approach can be
used for monitoring forest degradation to availability the
vegetation indice using the proposed method and facilitating the
implementation of action of forest protection in the Brazilian
Amazon.",
conference-location = "Santos",
conference-year = "14-17 abril 2019",
isbn = "978-85-17-00097-3",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3U244AB",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U244AB",
targetfile = "97319.pdf",
type = "Degrada{\c{c}}{\~a}o de florestas",
urlaccessdate = "27 abr. 2024"
}