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Framework for eForest Fire Management in the Shifting Cultivation-Dominated Landscape of Meghalaya, North East India, Using Remote Sensing and GIS


Affiliations
1 North Eastern Space Applications Centre, Umiam 793 103, India
2 Forests and Environment Department, Government of Meghalaya, Shillong 793 103, India
3 Department of Botany, College of Basic Science and Humanities, Odisha University of Agriculture and Technology, Bhubaneswar 751 003, India

Meghalaya, ‘the abode of clouds’ is one of the states of North East India. The state witnesses several forest fire incidents every year. In this study, MODIS-based forest fire counts from 2003 to 2023 have been used for the generation of forest fire-prone and vulnerability maps. The forest fire vulnerability map has been gene­rated at 1 : 10 k for the entire state and at 1 : 5 k for Reserve Forests, Community Reserve Forests and other Protected Areas. Ri Bhoi and West Khasi Hills districts witness high forest fire incidents compared to all the other districts. Maximum number of forest fire occurs in moderately dense and very dense forests. The eForest Fire Information System, viz. ‘Meghalaya Forest Fire Information System’ has a dashboard with geospatial forest fire information and a forest fire incident repor­ting android based app developed for fire managers both at Government and community level. Shifting cultivation (jhum) is a predominant land-use pattern; therefore the framework has embedded jhum area information for improving forest fire management strategies to match the local scenario.

Keywords

Forest fire, mitigation measures, remote sensing, shifting cultivation, vulnerability maps.
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  • Framework for eForest Fire Management in the Shifting Cultivation-Dominated Landscape of Meghalaya, North East India, Using Remote Sensing and GIS

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Authors

Kasturi Chakraborty
North Eastern Space Applications Centre, Umiam 793 103, India
Dhruval Bhavsar
North Eastern Space Applications Centre, Umiam 793 103, India
Suraj Kumar Swain
North Eastern Space Applications Centre, Umiam 793 103, India
Siddharth Bhuyan
North Eastern Space Applications Centre, Umiam 793 103, India
Harish Chaudhary
Forests and Environment Department, Government of Meghalaya, Shillong 793 103, India
Jakesh Mohapatra
Department of Botany, College of Basic Science and Humanities, Odisha University of Agriculture and Technology, Bhubaneswar 751 003, India
Praveen Kumar
North Eastern Space Applications Centre, Umiam 793 103, India
Balajied Lyngdoh
North Eastern Space Applications Centre, Umiam 793 103, India
Joydeep Dey
North Eastern Space Applications Centre, Umiam 793 103, India
Brandon Rynjah
North Eastern Space Applications Centre, Umiam 793 103, India
Nilay Nishant
North Eastern Space Applications Centre, Umiam 793 103, India
K. K. Sarma
North Eastern Space Applications Centre, Umiam 793 103, India

Abstract


Meghalaya, ‘the abode of clouds’ is one of the states of North East India. The state witnesses several forest fire incidents every year. In this study, MODIS-based forest fire counts from 2003 to 2023 have been used for the generation of forest fire-prone and vulnerability maps. The forest fire vulnerability map has been gene­rated at 1 : 10 k for the entire state and at 1 : 5 k for Reserve Forests, Community Reserve Forests and other Protected Areas. Ri Bhoi and West Khasi Hills districts witness high forest fire incidents compared to all the other districts. Maximum number of forest fire occurs in moderately dense and very dense forests. The eForest Fire Information System, viz. ‘Meghalaya Forest Fire Information System’ has a dashboard with geospatial forest fire information and a forest fire incident repor­ting android based app developed for fire managers both at Government and community level. Shifting cultivation (jhum) is a predominant land-use pattern; therefore the framework has embedded jhum area information for improving forest fire management strategies to match the local scenario.

Keywords


Forest fire, mitigation measures, remote sensing, shifting cultivation, vulnerability maps.



DOI: https://doi.org/10.18520/cs%2Fv127%2Fi5%2F572-580