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University of North Texas

Applications of Remote Sensing and GIS to Modeling Fire for Vegetative Restoration in Northern Arizona

Abstract

dc:description

An 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 × 10

Rights

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

Chain of custody

source
Harvested from
University of North Texas
Base URL
digital.library.unt.edu/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Hardison, Tanya. Applications of Remote Sensing and GIS to Modeling Fire for Vegetative Restoration in Northern Arizona. University of North Texas, 2003. https://doi.org/10.12794/metadc4323