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A stochastic analysis of the effect of fire on remote vegetationWilkins, Christopher Ward January 1977 (has links)
vi, 164 leaves : ill., tables, maps, photos ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Thesis (Ph.D.1978) from the Dept. of Applied Mathematics, University of Adelaide
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Applications of Remote Sensing and GIS to Modeling Fire for Vegetative Restoration in Northern ArizonaHardison, Tanya 08 1900 (has links)
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.
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