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Correction published on 28 April 2019, see Remote Sens. 2019, 11(9), 1013.

Open AccessArticle

Detection and Validation of Tropical Peatland Flaming and Smouldering Using Landsat-8 SWIR and TIRS Bands

1
PhD Candidate, University of South Australia (UniSA), Adelaide, SA 5000, Australia
2
Remote Sensing Application Center of Indonesian Institute of Aeronautics and Space (LAPAN), Jakarta 13710, Indonesia
3
Natural and Built Environments Research Centre, University of South Australia, Adelaide, SA 5000, Australia
4
Computational Learning Systems Laboratory, School of IT and Mathematical Sciences, University of South Australia, Mawson Lakes, SA 5095, Australia
5
Imagery, Landgate, Midland, WA 6056, Australia
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(4), 465; https://doi.org/10.3390/rs11040465
Received: 24 January 2019 / Revised: 18 February 2019 / Accepted: 19 February 2019 / Published: 24 February 2019
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Abstract

A Tropical Peatland Combustion Algorithm (ToPeCAl) was first established from Landsat-8 images acquired in 2015, which were used to detect peatland combustion in flaming and smouldering stages. Detection of smouldering combustion from space remains a challenge due to its low temperature and generally small spatial extent. The ToPeCAl consists of the Shortwave Infrared Combustion Index based on reflectance (SICIρ), and Top of Atmosphere (TOA) reflectance in Shortwave Infrared band-7 (SWIR-2), TOA brightness temperature of Thermal Infrared band-10 (TIR-1), and TOA reflectance of band-1, the Landsat-8 aerosol band. The implementation of ToPeCAl was then validated using terrestrial and aerial images (helicopter and drone) collected during fieldwork in Central Kalimantan, Indonesia in the 2018 fire season, on the same day as Landsat-8 overpasses. The overall accuracy of ToPeCAl was found to be 82% with omission errors in a small area (less than 30 m × 30 m) from mixtures of smouldering and vegetation pixels, and commission errors (with minimum area of 30 m x 30 m) on high reflective building rooftops in urban areas. These errors were further reduced by masking and removing urban areas prior to analysis using landuse Geographic Information System (GIS) data; improving the overall mapping accuracy to 93%. For comparison, the day and night-time VIIRS (375 m) active fire product (VNP14IMG) was utilised, obtaining a lower probability of fire detection of 71% compared to ground truth, and 57–72% agreement in a buffer distance of 375 m to 1500 m when compared to the Landsat-8 ToPeCAl results. The night-time data of VNP14IMG was found to have a better correspondence with ToPeCAl results from Landsat 8 than day-time data. This finding could lead to a potential merger of ToPeCAl with VNP14IMG to fill the temporal gaps of peatland fire information when using Landsat. However, the VNP14IMG product exhibited overestimation compared with the results of ToPeCAl applied to Landsat-8. View Full-Text
Keywords: smouldering; flaming; peatland; tropical; Landsat-8; SWIR; TIR; ToPeCAl; VIIRS; VNP14IMG; validation; ground truth smouldering; flaming; peatland; tropical; Landsat-8; SWIR; TIR; ToPeCAl; VIIRS; VNP14IMG; validation; ground truth
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Sofan, P.; Bruce, D.; Jones, E.; Marsden, J. Detection and Validation of Tropical Peatland Flaming and Smouldering Using Landsat-8 SWIR and TIRS Bands. Remote Sens. 2019, 11, 465.

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