Predicting permafrost probability in a variable boreal environment utilizing a multiple logistic regression model, Whatì, NT, Canada
For remote communities, access to permafrost information for hazard assessment is a considerable challenge. This study applies analytical methods illustrating a time- and cost-efficient method for conducting community-scale permafrost mapping in the community of Whatì, NT. A binary logistic regressi...
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Lethbridge, Alta. : University of Lethbridge, Dept. of Geography & Environment
2021
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ftunivlethb:oai:opus.uleth.ca:10133/5842 2023-05-15T17:46:28+02:00 Predicting permafrost probability in a variable boreal environment utilizing a multiple logistic regression model, Whatì, NT, Canada Daly, Seamus University of Lethbridge. Faculty of Arts and Science Bonnaventure, Philip 2021 application/pdf https://hdl.handle.net/10133/5842 en_US eng Lethbridge, Alta. : University of Lethbridge, Dept. of Geography & Environment Arts and Science Department of Geography & Environment Thesis (University of Lethbridge. Faculty of Arts and Science) https://hdl.handle.net/10133/5842 Forest fire forecasting -- Northwest Territories Logistic regression analysis Permafrost -- Northwest Territories Permafrost -- Remote sensing Taigas -- Ecology Taigas -- Northwest Territories Dissertations Academic Thesis 2021 ftunivlethb 2021-06-27T07:20:11Z For remote communities, access to permafrost information for hazard assessment is a considerable challenge. This study applies analytical methods illustrating a time- and cost-efficient method for conducting community-scale permafrost mapping in the community of Whatì, NT. A binary logistic regression model was created using a combination of field data, digital elevation model-derived variables and remotely sensed products. Independent variables included categorical inputs such as vegetation, topographic position index and elevation breaks. The dependent variable is sourced from 139 physical checks of permafrost presence/absence. Vegetation was shown to be the strongest predictor of permafrost. The model predicts 50.0 % of the vegetated area is underlain by permafrost with a model accuracy of 91.4 % and spatial agreement of 72.8 % when compared to ground-truth pits. Compared to existing permafrost products this value is on the lowest edge of Whatì’s current classification (extensive discontinuous) illustrating there could be less permafrost than presumed. Thesis Northwest Territories permafrost Whatì University of Lethbridge Institutional Repository Canada Northwest Territories Whatì ENVELOPE(-117.276,-117.276,63.144,63.144) |
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Open Polar |
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University of Lethbridge Institutional Repository |
op_collection_id |
ftunivlethb |
language |
English |
topic |
Forest fire forecasting -- Northwest Territories Logistic regression analysis Permafrost -- Northwest Territories Permafrost -- Remote sensing Taigas -- Ecology Taigas -- Northwest Territories Dissertations Academic |
spellingShingle |
Forest fire forecasting -- Northwest Territories Logistic regression analysis Permafrost -- Northwest Territories Permafrost -- Remote sensing Taigas -- Ecology Taigas -- Northwest Territories Dissertations Academic Daly, Seamus University of Lethbridge. Faculty of Arts and Science Predicting permafrost probability in a variable boreal environment utilizing a multiple logistic regression model, Whatì, NT, Canada |
topic_facet |
Forest fire forecasting -- Northwest Territories Logistic regression analysis Permafrost -- Northwest Territories Permafrost -- Remote sensing Taigas -- Ecology Taigas -- Northwest Territories Dissertations Academic |
description |
For remote communities, access to permafrost information for hazard assessment is a considerable challenge. This study applies analytical methods illustrating a time- and cost-efficient method for conducting community-scale permafrost mapping in the community of Whatì, NT. A binary logistic regression model was created using a combination of field data, digital elevation model-derived variables and remotely sensed products. Independent variables included categorical inputs such as vegetation, topographic position index and elevation breaks. The dependent variable is sourced from 139 physical checks of permafrost presence/absence. Vegetation was shown to be the strongest predictor of permafrost. The model predicts 50.0 % of the vegetated area is underlain by permafrost with a model accuracy of 91.4 % and spatial agreement of 72.8 % when compared to ground-truth pits. Compared to existing permafrost products this value is on the lowest edge of Whatì’s current classification (extensive discontinuous) illustrating there could be less permafrost than presumed. |
author2 |
Bonnaventure, Philip |
format |
Thesis |
author |
Daly, Seamus University of Lethbridge. Faculty of Arts and Science |
author_facet |
Daly, Seamus University of Lethbridge. Faculty of Arts and Science |
author_sort |
Daly, Seamus |
title |
Predicting permafrost probability in a variable boreal environment utilizing a multiple logistic regression model, Whatì, NT, Canada |
title_short |
Predicting permafrost probability in a variable boreal environment utilizing a multiple logistic regression model, Whatì, NT, Canada |
title_full |
Predicting permafrost probability in a variable boreal environment utilizing a multiple logistic regression model, Whatì, NT, Canada |
title_fullStr |
Predicting permafrost probability in a variable boreal environment utilizing a multiple logistic regression model, Whatì, NT, Canada |
title_full_unstemmed |
Predicting permafrost probability in a variable boreal environment utilizing a multiple logistic regression model, Whatì, NT, Canada |
title_sort |
predicting permafrost probability in a variable boreal environment utilizing a multiple logistic regression model, whatì, nt, canada |
publisher |
Lethbridge, Alta. : University of Lethbridge, Dept. of Geography & Environment |
publishDate |
2021 |
url |
https://hdl.handle.net/10133/5842 |
long_lat |
ENVELOPE(-117.276,-117.276,63.144,63.144) |
geographic |
Canada Northwest Territories Whatì |
geographic_facet |
Canada Northwest Territories Whatì |
genre |
Northwest Territories permafrost Whatì |
genre_facet |
Northwest Territories permafrost Whatì |
op_relation |
Thesis (University of Lethbridge. Faculty of Arts and Science) https://hdl.handle.net/10133/5842 |
_version_ |
1766150141124804608 |