Vegetation and Forest Fire Dynamics in Alberta: A Ground and Remote Sensing Data Analysis
This thesis presents a comprehensive analysis of the interplay between forest fires and vegetation dynamics in Alberta, Canada, under the lens of climate change. By synthesizing data from remote sensing, climate records, and fire databases, the study reveals the intricate relationships between veget...
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Graduate Studies
2024
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Online Access: | https://hdl.handle.net/1880/119087 https://doi.org/10.11575/PRISM/46683 |
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ftunivcalgary:oai:prism.ucalgary.ca:1880/119087 2024-09-15T18:06:56+00:00 Vegetation and Forest Fire Dynamics in Alberta: A Ground and Remote Sensing Data Analysis Dastour, Hatef Hassan, Quazi K. Achari, Gopal Ahmed, M. Razu 2024-07-02 application/pdf https://hdl.handle.net/1880/119087 https://doi.org/10.11575/PRISM/46683 en eng Graduate Studies University of Calgary Dastour, H. (2024). Vegetation and forest fire dynamics in Alberta: a ground and remote sensing data analysis (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. https://hdl.handle.net/1880/119087 https://doi.org/10.11575/PRISM/46683 University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. Remote Sensing Machine Learning Time Series Analysis Time Series Modeling Vegetation Greenness Fire Season Numerical Simulation Engineering--Environmental Artificial Intelligence doctoral thesis 2024 ftunivcalgary https://doi.org/10.11575/PRISM/46683 2024-07-30T23:46:17Z This thesis presents a comprehensive analysis of the interplay between forest fires and vegetation dynamics in Alberta, Canada, under the lens of climate change. By synthesizing data from remote sensing, climate records, and fire databases, the study reveals the intricate relationships between vegetation cover changes and climatic factors throughout 2001–2022. It highlights the significant lead and lag times between the Normalized Difference Vegetation Index (NDVI) and climate variables such as Land Surface Temperature (LST), relative humidity, and precipitation, offering insights into the temporal dynamics of vegetation response to climatic influences. The research further explores the patterns and trends of forest fires, correlating them with interpolated climate data across various subregions. Using trend analysis and anomaly detection methods, the study identifies significant warming and drying trends, alongside variable precipitation changes, which have influenced both human-caused and lightning-induced forest fires. The findings underscore the differential impact of climate variables on fire occurrence and source, with notable patterns emerging in subregions like Athabasca Plain and Central Mixedwood. Building on these insights, the thesis develops a robust forest fire spread model, validated through high-precision simulations of the 2011 Slave Lake and 2016 Fort McMurray wildfires. The model leverages regional physical features, climatic data, and MODIS datasets to offer accurate fire behavior predictions. The phased simulation approach adapts to dynamic factors such as weather conditions and firefighting strategies, enhancing the model's applicability for effective fire management. Ultimately, this thesis aims to bridge the gap between theoretical understanding and practical application, providing valuable contributions to Alberta's forest fire management and community protection strategies. The research paves the way for more informed decision-making in the face of climate change by offering a nuanced ... Doctoral or Postdoctoral Thesis Fort McMurray Slave Lake PRISM - University of Calgary Digital Repository |
institution |
Open Polar |
collection |
PRISM - University of Calgary Digital Repository |
op_collection_id |
ftunivcalgary |
language |
English |
topic |
Remote Sensing Machine Learning Time Series Analysis Time Series Modeling Vegetation Greenness Fire Season Numerical Simulation Engineering--Environmental Artificial Intelligence |
spellingShingle |
Remote Sensing Machine Learning Time Series Analysis Time Series Modeling Vegetation Greenness Fire Season Numerical Simulation Engineering--Environmental Artificial Intelligence Dastour, Hatef Vegetation and Forest Fire Dynamics in Alberta: A Ground and Remote Sensing Data Analysis |
topic_facet |
Remote Sensing Machine Learning Time Series Analysis Time Series Modeling Vegetation Greenness Fire Season Numerical Simulation Engineering--Environmental Artificial Intelligence |
description |
This thesis presents a comprehensive analysis of the interplay between forest fires and vegetation dynamics in Alberta, Canada, under the lens of climate change. By synthesizing data from remote sensing, climate records, and fire databases, the study reveals the intricate relationships between vegetation cover changes and climatic factors throughout 2001–2022. It highlights the significant lead and lag times between the Normalized Difference Vegetation Index (NDVI) and climate variables such as Land Surface Temperature (LST), relative humidity, and precipitation, offering insights into the temporal dynamics of vegetation response to climatic influences. The research further explores the patterns and trends of forest fires, correlating them with interpolated climate data across various subregions. Using trend analysis and anomaly detection methods, the study identifies significant warming and drying trends, alongside variable precipitation changes, which have influenced both human-caused and lightning-induced forest fires. The findings underscore the differential impact of climate variables on fire occurrence and source, with notable patterns emerging in subregions like Athabasca Plain and Central Mixedwood. Building on these insights, the thesis develops a robust forest fire spread model, validated through high-precision simulations of the 2011 Slave Lake and 2016 Fort McMurray wildfires. The model leverages regional physical features, climatic data, and MODIS datasets to offer accurate fire behavior predictions. The phased simulation approach adapts to dynamic factors such as weather conditions and firefighting strategies, enhancing the model's applicability for effective fire management. Ultimately, this thesis aims to bridge the gap between theoretical understanding and practical application, providing valuable contributions to Alberta's forest fire management and community protection strategies. The research paves the way for more informed decision-making in the face of climate change by offering a nuanced ... |
author2 |
Hassan, Quazi K. Achari, Gopal Ahmed, M. Razu |
format |
Doctoral or Postdoctoral Thesis |
author |
Dastour, Hatef |
author_facet |
Dastour, Hatef |
author_sort |
Dastour, Hatef |
title |
Vegetation and Forest Fire Dynamics in Alberta: A Ground and Remote Sensing Data Analysis |
title_short |
Vegetation and Forest Fire Dynamics in Alberta: A Ground and Remote Sensing Data Analysis |
title_full |
Vegetation and Forest Fire Dynamics in Alberta: A Ground and Remote Sensing Data Analysis |
title_fullStr |
Vegetation and Forest Fire Dynamics in Alberta: A Ground and Remote Sensing Data Analysis |
title_full_unstemmed |
Vegetation and Forest Fire Dynamics in Alberta: A Ground and Remote Sensing Data Analysis |
title_sort |
vegetation and forest fire dynamics in alberta: a ground and remote sensing data analysis |
publisher |
Graduate Studies |
publishDate |
2024 |
url |
https://hdl.handle.net/1880/119087 https://doi.org/10.11575/PRISM/46683 |
genre |
Fort McMurray Slave Lake |
genre_facet |
Fort McMurray Slave Lake |
op_relation |
Dastour, H. (2024). Vegetation and forest fire dynamics in Alberta: a ground and remote sensing data analysis (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. https://hdl.handle.net/1880/119087 https://doi.org/10.11575/PRISM/46683 |
op_rights |
University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. |
op_doi |
https://doi.org/10.11575/PRISM/46683 |
_version_ |
1810444291699376128 |