SPATIAL DISTRIBUTION PATTERNS OF WILD-FIRES INCIDENTS IN SERBIA BASED ON VIIRS 375 M DATA FOR THE PERIOD 2013-2023

Petar Vranić, Nikola Mišić

DOI Number
https://doi.org/10.22190/FUWLEP240605008V
First page
087
Last page
096

Abstract


This research investigates the spatial distribution and clustering patterns of wildland fires in Serbia from January 2013 to December 2023 using data obtained from NASA's Fire Information for Resource Management System (FIRMS). A total of 69,179 fires are mapped using the Visible Infrared Imaging Radiometer Suite (VIIRS) 375 m thermal anomalies/active fire product, which offers improved spatial resolution and mapping capabilities. Spatial autocorrelation analysis, particularly Moran's I and Local Moran's I, is applied to assess the degree of clustering in the wildland fire incident dataset. Results indicate significant spatial patterns, highlighting critical areas for fire management and prevention. Municipalities such as Požarevac, Bogatić, Kikinda, Žitište, Sečanj, Šid, Irig, Ruma, and Stara Pazova, identified as HH clusters, should be prioritized for resource allocation. LH clusters, including Grocka, Beočin, and Velika Plana, need integration into regional strategies. Additionally, the persistent HL cluster in Kosjerić indicates an anomaly requiring focused intervention. These insights provide valuable information for targeted fire management strategies and highlight the importance of spatial analysis in understanding wildfire dynamics.


Keywords

wildfire, spatial analysis, clustering patterns, Moran's I, Local Moran's I, Serbia

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References


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DOI: https://doi.org/10.22190/FUWLEP240605008V

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