Remote Sensing of Wildland Fire-Induced Risk Assessment at the Community Level

Wildland fires are some of the critical natural hazards that pose a significant threat to the communities located in the vicinity of forested/vegetated areas. In this paper, our overall objective was to study the structural damages due to the 2016 Horse River Fire (HRF) that happened in Fort McMurra...

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Published in:Sensors
Main Authors: M. Ahmed, Khan Rahaman, Quazi Hassan
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:https://doi.org/10.3390/s18051570
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spelling ftmdpi:oai:mdpi.com:/1424-8220/18/5/1570/ 2023-08-20T04:06:35+02:00 Remote Sensing of Wildland Fire-Induced Risk Assessment at the Community Level M. Ahmed Khan Rahaman Quazi Hassan 2018-05-15 application/pdf https://doi.org/10.3390/s18051570 EN eng Multidisciplinary Digital Publishing Institute Remote Sensors https://dx.doi.org/10.3390/s18051570 https://creativecommons.org/licenses/by/4.0/ Sensors; Volume 18; Issue 5; Pages: 1570 2016 Horse River Fire structural damages very high spatial resolution wildland-urban interface (WUI) WorldView-2 Text 2018 ftmdpi https://doi.org/10.3390/s18051570 2023-07-31T21:31:20Z Wildland fires are some of the critical natural hazards that pose a significant threat to the communities located in the vicinity of forested/vegetated areas. In this paper, our overall objective was to study the structural damages due to the 2016 Horse River Fire (HRF) that happened in Fort McMurray (Alberta, Canada) by employing primarily very high spatial resolution optical satellite data, i.e., WorldView-2. Thus, our activities included the: (i) estimation of the structural damages; and (ii) delineation of the wildland-urban interface (WUI) and its associated buffers at certain intervals, and their utilization in assessing potential risks. Our proposed method of remote sensing-based estimates of the number of structural damages was compared with the ground-based information available from the Planning and Development Recovery Committee Task Force of Regional Municipality of Wood Buffalo (RMWB); and found a strong linear relationship (i.e., r2 value of 0.97 with a slope of 0.97). Upon delineating the WUI and its associated buffer zones at 10 m, 30 m, 50 m, 70 m and 100 m distances; we found existence of vegetation within the 30 m buffers from the WUI for all of the damaged structures. In addition, we noticed that the relevant authorities had removed vegetation in some areas between 30 m and 70 m buffers from the WUI, which was proven to be effective in order to protect the structures in the adjacent communities. Furthermore, we mapped the wildland fire-induced vulnerable areas upon considering the WUI and its associated buffers. Our analysis revealed that approximately 30% of the areas within the buffer zones of 10 m and 30 m were vulnerable due to the presence of vegetation; in which, approximately 7% were burned during the 2016 HRF event that led the structural damages. Consequently, we suggest to remove the existing vegetation within these critical zones and also monitor the region at a regular interval in order to reduce the wildland fire-induced risk. Text Fort McMurray Wood Buffalo MDPI Open Access Publishing Canada Fort McMurray Horse River ENVELOPE(-111.385,-111.385,56.717,56.717) Wood Buffalo ENVELOPE(-112.007,-112.007,57.664,57.664) Sensors 18 5 1570
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic 2016 Horse River Fire
structural damages
very high spatial resolution
wildland-urban interface (WUI)
WorldView-2
spellingShingle 2016 Horse River Fire
structural damages
very high spatial resolution
wildland-urban interface (WUI)
WorldView-2
M. Ahmed
Khan Rahaman
Quazi Hassan
Remote Sensing of Wildland Fire-Induced Risk Assessment at the Community Level
topic_facet 2016 Horse River Fire
structural damages
very high spatial resolution
wildland-urban interface (WUI)
WorldView-2
description Wildland fires are some of the critical natural hazards that pose a significant threat to the communities located in the vicinity of forested/vegetated areas. In this paper, our overall objective was to study the structural damages due to the 2016 Horse River Fire (HRF) that happened in Fort McMurray (Alberta, Canada) by employing primarily very high spatial resolution optical satellite data, i.e., WorldView-2. Thus, our activities included the: (i) estimation of the structural damages; and (ii) delineation of the wildland-urban interface (WUI) and its associated buffers at certain intervals, and their utilization in assessing potential risks. Our proposed method of remote sensing-based estimates of the number of structural damages was compared with the ground-based information available from the Planning and Development Recovery Committee Task Force of Regional Municipality of Wood Buffalo (RMWB); and found a strong linear relationship (i.e., r2 value of 0.97 with a slope of 0.97). Upon delineating the WUI and its associated buffer zones at 10 m, 30 m, 50 m, 70 m and 100 m distances; we found existence of vegetation within the 30 m buffers from the WUI for all of the damaged structures. In addition, we noticed that the relevant authorities had removed vegetation in some areas between 30 m and 70 m buffers from the WUI, which was proven to be effective in order to protect the structures in the adjacent communities. Furthermore, we mapped the wildland fire-induced vulnerable areas upon considering the WUI and its associated buffers. Our analysis revealed that approximately 30% of the areas within the buffer zones of 10 m and 30 m were vulnerable due to the presence of vegetation; in which, approximately 7% were burned during the 2016 HRF event that led the structural damages. Consequently, we suggest to remove the existing vegetation within these critical zones and also monitor the region at a regular interval in order to reduce the wildland fire-induced risk.
format Text
author M. Ahmed
Khan Rahaman
Quazi Hassan
author_facet M. Ahmed
Khan Rahaman
Quazi Hassan
author_sort M. Ahmed
title Remote Sensing of Wildland Fire-Induced Risk Assessment at the Community Level
title_short Remote Sensing of Wildland Fire-Induced Risk Assessment at the Community Level
title_full Remote Sensing of Wildland Fire-Induced Risk Assessment at the Community Level
title_fullStr Remote Sensing of Wildland Fire-Induced Risk Assessment at the Community Level
title_full_unstemmed Remote Sensing of Wildland Fire-Induced Risk Assessment at the Community Level
title_sort remote sensing of wildland fire-induced risk assessment at the community level
publisher Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/s18051570
long_lat ENVELOPE(-111.385,-111.385,56.717,56.717)
ENVELOPE(-112.007,-112.007,57.664,57.664)
geographic Canada
Fort McMurray
Horse River
Wood Buffalo
geographic_facet Canada
Fort McMurray
Horse River
Wood Buffalo
genre Fort McMurray
Wood Buffalo
genre_facet Fort McMurray
Wood Buffalo
op_source Sensors; Volume 18; Issue 5; Pages: 1570
op_relation Remote Sensors
https://dx.doi.org/10.3390/s18051570
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/s18051570
container_title Sensors
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