Details:

Journal Title:
Remote Sensing of Environment
Personal Author:
Schroeder, Wilfrid ; Oliva, Patricia ; Giglio, Louis ; Quayle, Brad ; Lorenz, Eckehard ; ... More +
Schroeder, Wilfrid ; Oliva, Patricia ; Giglio, Louis ; Quayle, Brad ; Lorenz, Eckehard ; Morelli, Fabiano Less -
NOAA Program & Office:
NOAA General Documents
Description:
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 1–6 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.
Keywords:
[+]
Computers In Earth Sciences Geology Soil Science
Source:
Remote Sensing of Environment, 185, 210-220
DOI:
https://doi.org/10.1016/j.rse.2015.08.032
ISSN:
0034-4257
Format:
PDF
Publisher:
Elsevier BV
Document Type:
Journal Article
License:
https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:
CC BY-NC-ND
Compliance:
Library
Main Document Checksum:
[+]
urn:sha256:8e47a6ca061ab0dcf2bebafa70a3afe1c05579f0d62fe7ed369f017aa1f6fb6a
Download URL:
https://repository.library.noaa.gov/view/noaa/59460/noaa_59460_DS1.pdf
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