81. determining burning potentials for wildfires

Department: Computer Science & Engineering
Research Institute Affiliation: San Diego Supercomputer Center (SDSC)
Faculty Advisor(s): Trey Ideker | Ilkay Altintas

Primary Student
Name: Sumedha Khatter
Email: skhatter@ucsd.edu
Phone: 858-231-5966
Grad Year: 2017

Abstract
One of the major problems faced today is Wildfires. The fires are huge and can create massive destruction, and sometimes even worse, it can cost materialistic, animal or human loss. My project is about determining the burning potential of a given pixel for Wildfires. The burn-ability index is found using the historical data of Fuels- (elevation, height, Fuel number, Aspect Ratio) and Fire Parameters.(which would use the summation of fire history for a particular pixel over small periods). The back-end uses various machine learning algorithms and the test results are produced using Stratified Sampling. The language used is python and the tools used are scikit, ogr2ogr, gdal and QGIS-a tool to work with spatial data. The significance of the project lies in the fact that it would be able to make us better understand the situation and could alarm us for a coming future problem.

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