Wildland Fire Risk Analysis on the Fort Apache Indian Reservation
dc.contributor.advisor | Korgaonkar, Yoganand | |
dc.contributor.author | Edwards, Desiree | |
dc.date.accessioned | 2025-05-14T15:49:51Z | |
dc.date.available | 2025-05-14T15:49:51Z | |
dc.date.issued | 2025 | |
dc.identifier.uri | http://hdl.handle.net/10150/677080 | |
dc.description.abstract | Wildfires pose a significant threat to natural resources, communities, infrastructure like homes on the Fort Apache Indian Reservation. This project developed a GIS- based wildfire risk assessment model utilizing available data and analytical tools in ArcGIS Pro. The analysis incorporated key environmental variables including fuel models from LANDFIRE, topographic features derived from USGS Earth Explorer, and proximity to communities. A weighted overlay approach was applied to classify areas into no risk. low, moderate, high and extreme wildfire risk zones. By adapting methodologies like kriging and weighted overlay, this study has ensured a replicable and objective assessment and framework. The final wildfire risk maps are able to support land managers in prioritizing mitigation efforts and resource allocation for planning and emergency response efforts. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | The University of Arizona. | en_US |
dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | en_US |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en_US |
dc.subject | Wildfire | en_US |
dc.subject | communities | en_US |
dc.subject | Fort Apache Indian Reservation | en_US |
dc.subject | Weighted Overlay | en_US |
dc.subject | risk assessment | en_US |
dc.title | Wildland Fire Risk Analysis on the Fort Apache Indian Reservation | en_US |
dc.type | Electronic Report | en_US |
dc.type | text | |
thesis.degree.grantor | University of Arizona | en_US |
thesis.degree.level | masters | en_US |
thesis.degree.discipline | Geographic Information Systems Technology | en_US |
thesis.degree.name | M.S. | en_US |
dc.description.collectioninformation | This item is part of the MS-GIST Master's Reports collection. For more information about items in this collection, please contact the UA Campus Repository at repository@u.library.arizona.edu. | en_US |
refterms.dateFOA | 2025-05-14T15:49:54Z |