University of North Texas
Applications of Remote Sensing and GIS to Modeling Fire for Vegetative Restoration in Northern Arizona
Abstract
dc:descriptionAn accurate fire model is a useful tool in predicting the behavior of a prescribed fire. Simulation of fire requires an extensive amount of data and can be accomplished best using GIS applications. This paper demonstrates integrative procedures of using of ArcGIS™, ERDAS Imagine™, GPS, and FARSITE© to predict prescribed fire behavior on the Kaibab-Paiute Reservation. ArcGIS was used to create a database incorporating all variables into a common spatial reference system and format for the FARSITE model. ArcGIS Spatial Analyst was then used to select optimal burn sites for simulation. Our predictions will be implemented in future interagency efforts towards vegetative restoration on the reservation.
Degree
thesis:*- Grantor dc:publisher
- University of North Texas
- Year dc:date
- 2003
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Hardison, Tanya
- Contributors dc:contributor
-
- Zimmerman, Earl G.
- Ji, Minhe
- Kennedy, James H.
Subjects
dc:subject × 10Rights
dc:rights- Statement dc:rights
-
- Public
- Copyright
- Hardison, Tanya
- Copyright is held by the author, unless otherwise noted. All rights reserved.
- Language dc:language
- English
Identifiers
dc:identifier.*- Identifier
-
oclc: 53321682
https://digital.library.unt.edu/ark:/67531/metadc4323/
ark: ark:/67531/metadc4323 - OAI identifier oai:identifier
- info:ark/67531/metadc4323