{"id":{"repo_id":"unt","oai_identifier":"info:ark/67531/metadc4323"},"canonical_url":"https://search.dev.ndltd.org/etd/unt/info:ark/67531/metadc4323","repository":{"repo_id":"unt","name":"University of North Texas","base_url":"https://digital.library.unt.edu/oai/"},"display":{"title":"Applications of Remote Sensing and GIS to Modeling Fire for Vegetative Restoration in Northern Arizona","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Hardison, Tanya"],"institution":"University of North Texas","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Zimmerman, Earl G.","Ji, Minhe","Kennedy, James H."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2003,"date_issued":"2003-08","date_published":"2003-08","updated_at":"2026-07-24T05:35:09Z","subjects":["Fire management -- Arizona.","Vegetation management -- Arizona.","Forest fires -- Mathematical models.","Remote sensing.","Geographic information systems.","GIS","ArcGIS","fire","modeling","Arizona"],"languages":["English"],"rights":["Public","Copyright","Hardison, Tanya","Copyright is held by the author, unless otherwise noted. 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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."],"dc:format":["Text"],"dc:identifier":["oclc: 53321682","doi: 10.12794/metadc4323","https://digital.library.unt.edu/ark:/67531/metadc4323/","ark: ark:/67531/metadc4323"],"dc:language":["English"],"dc:publisher":["University of North Texas"],"dc:rights":["Public","Copyright","Hardison, Tanya","Copyright is held by the author, unless otherwise noted. 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