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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ftpubmed:oai:pubmedcentral.nih.gov:5981306 2023-05-15T16:17:41+02:00 Remote Sensing of Wildland Fire-Induced Risk Assessment at the Community Level Ahmed, M. Razu Rahaman, Khan Rubayet Hassan, Quazi K. 2018-05-15 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981306/ http://www.ncbi.nlm.nih.gov/pubmed/29762504 https://doi.org/10.3390/s18051570 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981306/ http://www.ncbi.nlm.nih.gov/pubmed/29762504 http://dx.doi.org/10.3390/s18051570 © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). CC-BY Article Text 2018 ftpubmed https://doi.org/10.3390/s18051570 2018-06-10T00:23:21Z 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 PubMed Central (PMC) 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 |
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Article Ahmed, M. Razu Rahaman, Khan Rubayet Hassan, Quazi K. Remote Sensing of Wildland Fire-Induced Risk Assessment at the Community Level |
topic_facet |
Article |
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 |
Ahmed, M. Razu Rahaman, Khan Rubayet Hassan, Quazi K. |
author_facet |
Ahmed, M. Razu Rahaman, Khan Rubayet Hassan, Quazi K. |
author_sort |
Ahmed, M. Razu |
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 |
MDPI |
publishDate |
2018 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981306/ http://www.ncbi.nlm.nih.gov/pubmed/29762504 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_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981306/ http://www.ncbi.nlm.nih.gov/pubmed/29762504 http://dx.doi.org/10.3390/s18051570 |
op_rights |
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/s18051570 |
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Sensors |
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1570 |
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