@Article{SchroederOlGiQuLoMo:2016:AcFiDe,
author = "Schroeder, Wilfrid and Oliva, Patricia and Giglio, Louis and
Quayle, Brad and Lorenz, Eckehard and Morelli, Fabiano",
affiliation = "{University of Maryland} and {University of Maryland} and
{University of Maryland} and {USDA Forest Service Remote Sensing
Applications Cente} and {German Aerospace Center} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Active fire detection using Landsat-8/OLI data",
journal = "Remote Sensing of Environment",
year = "2016",
volume = "185",
pages = "210--220",
month = "Nov.",
abstract = "The gradual increase in Landsat-class data availability creates
new opportunities for fire science and management applications
that require higher-fidelity information about biomass burning,
improving upon existing coarser spatial resolution (\≥ 1
km) satellite active fire data sets. Targeting those enhanced
capabilities we describe an active fire detection algorithm for
use with Landsat-8 Operational Land Imager (OLI) daytime and
nighttime data. The approach builds on the fire-sensitive
short-wave infrared channel 7 complemented by visible and
near-infrared channel 16 data (daytime only), while also expanding
on the use of multi-temporal analysis to improve pixel
classification results. Despite frequent saturation of OLI's
fire-affected pixels, which includes radiometric artifacts
resulting from folding of digital numbers, our initial assessment
based on visual image analysis indicated high algorithm fidelity
across a wide range of biomass burning scenarios, gas flares and
active volcanoes. Additional field data verification confirmed the
sensor's and algorithm's ability to resolve fires of significantly
small areas compared to current operational satellite fire
products. Commission errors were greatly reduced with the addition
of multi-temporal analysis tests applied to co-located pixels,
averaging less than 0.2% globally. Because of its overall quality,
Landsat-8/OLI active fire data could become part of a network of
emerging earth observation systems providing enhanced spatial and
temporal coverage of biomass burning at global scales.",
doi = "10.1016/j.rse.2015.08.032",
url = "http://dx.doi.org/10.1016/j.rse.2015.08.032",
issn = "0034-4257",
language = "en",
targetfile = "schroeder_active.pdf",
urlaccessdate = "05 maio 2024"
}