Abstract

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Designing a Geodatabase for Fire Risk Assessment
Track: Database Design, Automation, and Management
Author(s): Jinmu Choi, William Cooke, Mark Stevens

Fire risk modeling requires consideration of various geospatial data. Landscape moisture is recognized as an important component for modeling fire risk. As an indication of landscape moisture, instead of using simple Keech-Byram drought index, we examine the cumulative interplay of precipitation and evapotranspiration that help characterize various landscape moisture conditions in the U.S. In this study, we designed a geodatabase to manage landscape moisture conditions and ancillary geospatial data such as fuels, soil types, and topography, for map a fire risk map. Since the climatic data is a floating variable in time, 'Time' class is included in a geodatabase to store both real and transaction time. In addition, the user interface is built to create timely fire risk maps using the geodatabase. This study shows the process of designing and building a geodatabase to manage spatiotemporal climatic data and ancillary geospatial information in order to map a fire risk rates.

Jinmu Choi
Mississippi State University
Geosciences
PO Box 5448
Mississippi State , MS 39762
US
Phone: 662-325-5803
E-mail: jc778@msstate.edu

William Cooke
Mississippi State University
PO box 5448
Mississippi State 39762
US
Phone: 662-325-9479
E-mail: whc5@geosci.msstate.edu

Mark Stevens
Mississippi State University
Geosciences
PO Box 5448
Mississippi State , MS 39762
US
Phone: 662-325-3915
E-mail: mds2@msstate.edu