Monitoring changes in Forest Fire Pattern in Mudumalai Tiger Reserve, Western Ghats India, using Remote Sensing and GIS

Shanmuganathan Jayakumar; Satyam Verma; Kuimi Tampeimi Vashum; Sathya Mani

Authors

Shanmuganathan Jayakumar
Satyam Verma
Kuimi Tampeimi Vashum
Sathya Mani

forest fire; spatial pattern; temporal pattern; remote sensing; GIS

Abstract

This study was aimed to evaluate the spatial and temporal patterns of forest fire between 1999 and 2014 using remote sensing and GIS in Mudumalai Tiger Reserve, Western Ghats. Remote Sensing and GIS are very effective tools in detecting active fire, mapping burned area, analyzing fire risk and preparing improved management plans. We used Landsat TM, ETM+, OLI-TIRS and Fire location data for this study. In our study, we found that the annual rate of fire was 3141.46 hectare year -1 (9.78%) with an average number of 22 fire incidences per annum. Maximum area was burned in 2004 (10451 hectares) whereas in 2013, we did not record any fire incidence through Lands at images. Fire occurred between January and May and utmost incidences in February and March (93.64%). However, 58.86 % of detected fire incidences were in February alone.

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How to Cite

Monitoring changes in Forest Fire Pattern in Mudumalai Tiger Reserve, Western Ghats India, using Remote Sensing and GIS. (2015). Global Journal of Science Frontier Research, 15(H4), 13-19. https://www.journalofscience.org/index.php/GJSFR/article/view/1663

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