Assessment of Wildfire Activity Development Trends for Eastern Australia Using Multi-Sensor Earth Observation Data
Increased fire activity across the Amazon, Australia, and even the Arctic regions has received wide recognition in the global media in recent years. Large-scale, long-term analyses are required to postulate if these incidents are merely peaks within the natural oscillation, or rather the consequence...
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ftmdpi:oai:mdpi.com:/2072-4292/13/24/4975/ 2023-08-20T04:04:47+02:00 Assessment of Wildfire Activity Development Trends for Eastern Australia Using Multi-Sensor Earth Observation Data Michael Nolde Norman Mueller Günter Strunz Torsten Riedlinger agris 2021-12-07 application/pdf https://doi.org/10.3390/rs13244975 EN eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs13244975 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 24; Pages: 4975 burnt area monitoring Australia Sydney wildfire earth observation mid-resolution sensors time series analysis burn severity climate zones Text 2021 ftmdpi https://doi.org/10.3390/rs13244975 2023-08-01T03:29:05Z Increased fire activity across the Amazon, Australia, and even the Arctic regions has received wide recognition in the global media in recent years. Large-scale, long-term analyses are required to postulate if these incidents are merely peaks within the natural oscillation, or rather the consequence of a linearly rising trend. While extensive datasets are available to facilitate the investigation of the extent and frequency of wildfires, no means has been available to also study the severity of the burnings on a comparable scale. This is now possible through a dataset recently published by the German Aerospace Center (DLR). This study exploits the possibilities of this new dataset by exemplarily analyzing fire severity trends on the Australian East coast for the past 20 years. The analyzed data is based on 3503 tiles of the ESA Sentinel-3 OLCI instrument, extended by 9612 granules of the NASA MODIS MOD09/MYD09 product. Rising trends in fire severity could be found for the states of New South Wales and Victoria, which could be attributed mainly to developments in the temperate climate zone featuring hot summers without a dry season (Cfa). Within this climate zone, the ecological units featuring needleleaf and evergreen forest are found to be mainly responsible for the increasing trend development. The results show a general, statistically significant shift of fire activity towards the affection of more woody, ecologically valuable vegetation. Text Arctic MDPI Open Access Publishing Arctic Remote Sensing 13 24 4975 |
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MDPI Open Access Publishing |
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English |
topic |
burnt area monitoring Australia Sydney wildfire earth observation mid-resolution sensors time series analysis burn severity climate zones |
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burnt area monitoring Australia Sydney wildfire earth observation mid-resolution sensors time series analysis burn severity climate zones Michael Nolde Norman Mueller Günter Strunz Torsten Riedlinger Assessment of Wildfire Activity Development Trends for Eastern Australia Using Multi-Sensor Earth Observation Data |
topic_facet |
burnt area monitoring Australia Sydney wildfire earth observation mid-resolution sensors time series analysis burn severity climate zones |
description |
Increased fire activity across the Amazon, Australia, and even the Arctic regions has received wide recognition in the global media in recent years. Large-scale, long-term analyses are required to postulate if these incidents are merely peaks within the natural oscillation, or rather the consequence of a linearly rising trend. While extensive datasets are available to facilitate the investigation of the extent and frequency of wildfires, no means has been available to also study the severity of the burnings on a comparable scale. This is now possible through a dataset recently published by the German Aerospace Center (DLR). This study exploits the possibilities of this new dataset by exemplarily analyzing fire severity trends on the Australian East coast for the past 20 years. The analyzed data is based on 3503 tiles of the ESA Sentinel-3 OLCI instrument, extended by 9612 granules of the NASA MODIS MOD09/MYD09 product. Rising trends in fire severity could be found for the states of New South Wales and Victoria, which could be attributed mainly to developments in the temperate climate zone featuring hot summers without a dry season (Cfa). Within this climate zone, the ecological units featuring needleleaf and evergreen forest are found to be mainly responsible for the increasing trend development. The results show a general, statistically significant shift of fire activity towards the affection of more woody, ecologically valuable vegetation. |
format |
Text |
author |
Michael Nolde Norman Mueller Günter Strunz Torsten Riedlinger |
author_facet |
Michael Nolde Norman Mueller Günter Strunz Torsten Riedlinger |
author_sort |
Michael Nolde |
title |
Assessment of Wildfire Activity Development Trends for Eastern Australia Using Multi-Sensor Earth Observation Data |
title_short |
Assessment of Wildfire Activity Development Trends for Eastern Australia Using Multi-Sensor Earth Observation Data |
title_full |
Assessment of Wildfire Activity Development Trends for Eastern Australia Using Multi-Sensor Earth Observation Data |
title_fullStr |
Assessment of Wildfire Activity Development Trends for Eastern Australia Using Multi-Sensor Earth Observation Data |
title_full_unstemmed |
Assessment of Wildfire Activity Development Trends for Eastern Australia Using Multi-Sensor Earth Observation Data |
title_sort |
assessment of wildfire activity development trends for eastern australia using multi-sensor earth observation data |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13244975 |
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agris |
geographic |
Arctic |
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Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Remote Sensing; Volume 13; Issue 24; Pages: 4975 |
op_relation |
Environmental Remote Sensing https://dx.doi.org/10.3390/rs13244975 |
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https://creativecommons.org/licenses/by/4.0/ |
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https://doi.org/10.3390/rs13244975 |
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Remote Sensing |
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