Detection and Characterization of Low Temperature Peat Fires during the 2015 Fire Catastrophe in Indonesia Using a New High-Sensitivity Fire Monitoring Satellite Sensor (FireBird)

Vast and disastrous fires occurred on Borneo during the 2015 dry season, pushing Indonesia into the top five carbon emitting countries. The region was affected by a very strong El Niño-Southern Oscillation (ENSO) climate phenomenon, on par with the last severe event in 1997/98. Fire dynamics in Cent...

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Veröffentlicht in:PloS one 2016-08, Vol.11 (8), p.e0159410-e0159410
Hauptverfasser: Atwood, Elizabeth C, Englhart, Sandra, Lorenz, Eckehard, Halle, Winfried, Wiedemann, Werner, Siegert, Florian
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container_issue 8
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creator Atwood, Elizabeth C
Englhart, Sandra
Lorenz, Eckehard
Halle, Winfried
Wiedemann, Werner
Siegert, Florian
description Vast and disastrous fires occurred on Borneo during the 2015 dry season, pushing Indonesia into the top five carbon emitting countries. The region was affected by a very strong El Niño-Southern Oscillation (ENSO) climate phenomenon, on par with the last severe event in 1997/98. Fire dynamics in Central Kalimantan were investigated using an innovative sensor offering higher sensitivity to a wider range of fire intensities at a finer spatial resolution (160 m) than heretofore available. The sensor is onboard the TET-1 satellite, part of the German Aerospace Center (DLR) FireBird mission. TET-1 images (acquired every 2-3 days) from the middle infrared were used to detect fires continuously burning for almost three weeks in the protected peatlands of Sebangau National Park as well as surrounding areas with active logging and oil palm concessions. TET-1 detection capabilities were compared with MODIS active fire detection and Landsat burned area algorithms. Fire dynamics, including fire front propagation speed and area burned, were investigated. We show that TET-1 has improved detection capabilities over MODIS in monitoring low-intensity peatland fire fronts through thick smoke and haze. Analysis of fire dynamics revealed that the largest burned areas resulted from fire front lines started from multiple locations, and the highest propagation speeds were in excess of 500 m/day (all over peat > 2m deep). Fires were found to occur most often in concessions that contained drainage infrastructure but were not cleared prior to the fire season. Benefits of implementing this sensor system to improve current fire management techniques are discussed. Near real-time fire detection together with enhanced fire behavior monitoring capabilities would not only improve firefighting efforts, but also benefit analysis of fire impact on tropical peatlands, greenhouse gas emission estimations as well as mitigation measures to reduce severe fire events in the future.
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The region was affected by a very strong El Niño-Southern Oscillation (ENSO) climate phenomenon, on par with the last severe event in 1997/98. Fire dynamics in Central Kalimantan were investigated using an innovative sensor offering higher sensitivity to a wider range of fire intensities at a finer spatial resolution (160 m) than heretofore available. The sensor is onboard the TET-1 satellite, part of the German Aerospace Center (DLR) FireBird mission. TET-1 images (acquired every 2-3 days) from the middle infrared were used to detect fires continuously burning for almost three weeks in the protected peatlands of Sebangau National Park as well as surrounding areas with active logging and oil palm concessions. TET-1 detection capabilities were compared with MODIS active fire detection and Landsat burned area algorithms. Fire dynamics, including fire front propagation speed and area burned, were investigated. 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subjects Algorithms
Biology and Life Sciences
Burning
Carbon
Carbon - metabolism
Cold Temperature
Disasters
Dry season
Dynamic tests
Earth Sciences
Ecology and Environmental Sciences
Ecosystem biology
Ecosystems
El Nino
El Nino-Southern Oscillation event
Emission analysis
Emission measurements
Engineering and Technology
Fire behavior
Fire detection
Fire fighting
Fire prevention
Fires
Forest & brush fires
Greenhouse effect
Greenhouse gases
Haze
Image acquisition
Impact analysis
Indonesia
Landsat
Landsat satellites
Logging
Low temperature
Medicine and Health Sciences
Mitigation
MODIS
Monitoring
National parks
Natural gas
Peat
Peat bogs
Peatlands
People and Places
Propagation
Protection and preservation
Remote sensing
Remote sensing systems
Research and Analysis Methods
Satellite Communications - instrumentation
Sensitivity
Sensors
Smoke
Southern Oscillation
Spatial discrimination
Spatial resolution
title Detection and Characterization of Low Temperature Peat Fires during the 2015 Fire Catastrophe in Indonesia Using a New High-Sensitivity Fire Monitoring Satellite Sensor (FireBird)
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