2021
DOI: 10.1007/s42452-021-04391-0
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Forest fire risk mapping using analytical hierarchy process (AHP) and earth observation datasets: a case study in the mountainous terrain of Northeast India

Abstract: This study presents a geospatial approach in conjunction with a multi-criteria decision-making (MCDM) tool for mapping forest fire risk zones in the district of Ri-Bhoi, Meghalaya, India which is very rich in biodiversity. Analytical hierarchy process (AHP)-based pair-wise comparison matrix was constructed to compare the selected parameters against each other based on their impact/influence (equal, moderate, strong, very strong, and extremely strong) on a forest fire. The final output delineated fire risk zone… Show more

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Cited by 29 publications
(9 citation statements)
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“…Lamat et al. ( 2021 ) also indicates toward the likelihood of an increase in forest fire activity under rising temperature.…”
Section: Resultsmentioning
confidence: 94%
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“…Lamat et al. ( 2021 ) also indicates toward the likelihood of an increase in forest fire activity under rising temperature.…”
Section: Resultsmentioning
confidence: 94%
“…Accidental and intentional fires caused by negligently discarded cigarette butts, campfires, debris burning, and acts of arson are also important forest fire ignition agents (Babu et al., 2016 ; Forest Survey of India [FSI], 2019 ; Sevinc et al., 2020 ). Given favorable weather conditions these anthropogenic fires can quickly become uncontrolled and spread to wide areas of the forest, ultimately turning into a large‐scale disaster (Lamat et al., 2021 ). The occurrence, frequency, and intensity of forest fires is also linked to changing weather and climatic conditions such as warmer temperature, precipitation deficits, increased number of dry days, and El Niño‐Southern Oscillation (ENSO) events.…”
Section: Introductionmentioning
confidence: 99%
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“…Demark of the high risk zone mapping of various forests against fire have been done by various authors and considered the factors like land cover types, aspect, slope angle, landscape wetness index, and distance from road, settlement, tourism hubs, anti-poaching camp sheds etc. using soft-wares like Arc GIS, Q-GIS, ERADAS and many software, [21,22,23,24,25]. The global fire counts had surged by 13% between 2019 and 2020.…”
Section: Review Of Literaturementioning
confidence: 99%
“…Geospatial technologies have the ability to provide timely and precise spatial and temporal information for complex re zone modeling. Further, integrating advanced multi-criteria decision-making (MCDM) models offers an innovative and accurate approach towards re risk zones assessment (Lamat et al 2021). Multi-criteria decision analysis (MCDA) models combined with GIS are decisive tools for calculating and forecasting natural and man-made risks (Gigovi'c et al 2016;Gigovi'c et al 2017).…”
Section: Introductionmentioning
confidence: 99%