Data-Enabled Correlation Analysis between Wildfire and Climate using GIS

This paper presents a study of examining the statistical correlation between wildfire and weather by mining historical spatial and temporal wildfire and climate data. Large wildfires have been recently becoming more frequent, intense and destructive in the West of United States. The occurrence of wildfires can be determined by many human and natural factors, such as the availability of fuels, physical settings, and weather conditions, among which weather is of great interest and importance for wildfire forecasting. The availability of landscape fire data sets and weather data sets now enables the analysis of correlation between wildfire and weather which indicates the possibility of wildfire for given weather conditions in one region. This paper investigates the relation between wildfire and drought conditions in California and visualize the results using geographic information system (GIS) computing technology. Our data analysis findings show a high correlation between the normalized number of wildfires per forest unit area and drought severity, illustrating the potential of forecasting wildfire using weather data.

[1]  Benjamin P. Bryant,et al.  Climate change and wildfire in California , 2008 .

[2]  Scott L. Goodrick,et al.  Forecasting intentional wildfires using temporal and spatiotemporal autocorrelations , 2012 .

[3]  A. J. Parker,et al.  Climate, Lightning, and Wildfire in the National Forests of the Southeastern United States: 1989-1998 , 2005 .

[4]  A. Enis Çetin,et al.  Entropy-Functional-Based Online Adaptive Decision Fusion Framework With Application to Wildfire Detection in Video , 2012, IEEE Transactions on Image Processing.

[5]  Warren E. Heilman,et al.  Synoptic circulation and temperature pattern during severe wildland fires , 1996 .

[6]  ByoungChul Ko,et al.  Wildfire smoke detection using spatiotemporal bag-of-features of smoke , 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

[7]  Susan G. Conard,et al.  Synthesis of Knowledge: Fire History and Climate Change , 2011 .

[8]  Michael D. Dettinger,et al.  CLIMATE AND WILDFIRE IN THE WESTERN UNITED STATES , 2003 .

[9]  Anthony L. Westerling,et al.  Statistical Model for Forecasting Monthly Large Wildfire Events in Western United States , 2007 .

[10]  Hamid Pirahesh,et al.  Wildfire: Concurrent Blazing Data Ingest and Analytics , 2016, SIGMOD Conference.

[11]  Gerhard Nahler,et al.  Pearson Correlation Coefficient , 2020, Definitions.

[12]  N. Koutsias,et al.  Mapping wildfire occurrence at regional scale , 2004 .

[13]  Raul Romero-Calcerrada,et al.  GIS analysis of spatial patterns of human-caused wildfire ignition risk in the SW of Madrid (Central Spain) , 2008, Landscape Ecology.

[14]  Scott L. Goodrick,et al.  Florida wildfire activity and atmospheric teleconnections , 2009, International Journal of Wildland Fire.

[15]  J Brenner,et al.  Southern Oscillation Anomalies and Their Relationship to Wildfire Activity in Florida , 1991 .