@Article{LibonatiCamSetMorMel:2015:AlBuAr,
author = "Libonati, Renata and Camara, Carlos C. da and Setzer, Alberto
Waingort and Morelli, Fabiano and Melchiori, Arturo Emiliano",
affiliation = "{Universidade Federal do Rio de Janeiro (UFRJ)} and {Universidade
de Lisboa} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "An Algorithm for Burned Area Detection in the Brazilian Cerrado
Using 4 µm MODIS Imagery",
journal = "Remote Sensing",
year = "2015",
volume = "7",
number = "11",
pages = "15782--15803",
keywords = "Burned area, Cerrado, Fire regime, MODIS, Remote sensing,
Savanna.",
abstract = "The Brazilian Cerrado is significantly affected by anthropic fires
every year, which makes the region an important source of
pyrogenic emissions. This study aims at generating improved 1 km
monthly burned area maps for Cerrado based on remote-sensed
information. The algorithm relies on a burn-sensitive vegetation
index based on MODIS daily values of near and middle infrared
reflectance and makes use of active fire detection from multiple
sensors. Validation is performed using reference burned area (BA)
maps derived from Landsat imagery. Results are also compared with
MODIS standard BA products. A monthly BA database for the
Brazilian Cerrado is generated covering the period 2005-2014.
Estimated value of BA is 1.3 times larger than the value derived
from reference data, making the product suitable for applications
in fire emission studies and ecosystem management. As expected the
intra and inter-annual variability of estimated BA over the
Brazilian Cerrado is in agreement with the regime of
precipitation. This work represents the first step towards setting
up a regional database of BA for Brazil to be developed in the
framework of BrFLAS, an R and D project in the areas of fire
emissions and ecosystem management planning.",
doi = "10.3390/rs71115782",
url = "http://dx.doi.org/10.3390/rs71115782",
issn = "2072-4292",
language = "en",
targetfile = "libonati.pdf",
urlaccessdate = "27 abr. 2024"
}