Linkage between the Forest Fires and the Meteorological Parameters during the current climatic regime using Spatial Clustering, Regression, and Combination Matrix Analysis

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Manish Pandey , Aman Arora, Masood A Siddiqui , Satarupa Mitra , Naveen Pandey, Sangeeta Soni , Amanjot Kaur, U.K. Shukla 


The present study has been carried out to assess the spatial behaviour of forest fire count (FFC) data and Climate Forecast System Reanalysis (CFSR) derived meteorological parameters in Uttar Pradesh to explore the linkages amongst them. Ten years (2005 to 2014) of forest fire event data and of meteorological data have been analysed using GIS overlay, ordinary least square (OLS) regression, increment ratio (IR) and combination matrix analysis (CMA) to find spatial congruence and causal linkage between FFC and meteorological variables. The results show that approximately 80% of total forest fires occur in March & April only. And, at ten days interval, 65% FFCs were recorded from 21 March to 20 April only. With OLS and IR methods, we found a linkage between FFC and rainfall, relative humidity, solar radiation, and temperature. In contrast, CMA indicated a periodicity in the FFCs of the highest category.



Geographic Information Sciences, Geography, Physical and Environmental Geography, Remote Sensing, Spatial Science


Forest Fire – meteorology linkage, Overlay Analysis, Ordinary least square regression, Combination matrix analysis, CFSR, Uttar Pradesh, Overlay Analysis, Ordinary least square regression, Combination matrix analysis, CFSR, Uttar Pradesh


Published: 2021-02-25 07:08


CC BY Attribution 4.0 International

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