Mapping tropical peatlands combustion from satellite remote sensing data /
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(Published version)
Date
2021
Authors
Sofan, Parwati
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thesis
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Abstract
The detection of fires based on satellite remote sensing mostly misses small and smoldering fires in tropical peatland environments. Moderate spatial resolution imagery at 20-30 m from Sentinel-2 and Landsat-8 satellites was explored to overcome this problem, while lower spatial resolution 375 m data from VIIRS, a source of daily global active fire data, was optimised to better represent peatland fire information. The significant contribution of this work, within the field of satellite-based fire detection, was the development of a new prototype, Tropical Peatland Combustion Algorithm (ToPeCAl), from Landsat-8 and Sentinel-2 to detect peatland fires in Indonesia. Moreover, a new technique to optimise global fire data from VIIRS was established through multitemporal analysis and spatial buffering to aid the efficient ground monitoring of peatland fires for disaster management agencies.
School/Discipline
University of South Australia. UniSA STEM.
UniSA STEM
UniSA STEM
Dissertation Note
Thesis (PhD(Environmental Science))--University of South Australia, 2021.
Provenance
Copyright 2021 Parwati Sofan.
Description
1 ethesis (xxv, 211 pages) :
colour illustrations.
Includes bibliographical references (pages 173-180)
colour illustrations.
Includes bibliographical references (pages 173-180)
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506 0#$fstar $2Unrestricted online access