Application of earth observation dataset and multi-criteria decision-making technique for forest fire risk assessment in Sikkim, India

Laha, Arnab; Balasubramanian, N.; Sinha, Rajiv

doi:10.18520/cs/v121/i8/1022-1031

Cited by 4 publications

(1 citation statement)

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“…Utilizing a causal graph to illustrate the contextual links between the criteria and a threshold value aiding decision-makers in discerning criteria effectively mitigates major and minor impacts, enhancing resource performance in the long run for informed decision-making regarding challenges. Additionally, DEMATEL gives a cause-and-effect chain, employing expert judgment to more effectively comprehend the interactions between variables and identify which components are more significant [16].…”

Section: Methodsmentioning

confidence: 99%

Utilizing Comprehensive Criteria and Indicators for Post-Fire Forest Restoration in Spatial Decision Support Systems (SDSS)

Alayan,

Lakner

2024

Forests

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Amidst the increasing frequency and severity of forest fires globally, the imperative of effective post-fire forest restoration has gained unprecedented significance. This study outlines a comprehensive approach to post-fire forest restoration and discusses its implementation through spatial decision-making systems. The methodology involves utilizing multi-criteria analysis (MCA) to identify and prioritize criteria based on their relative importance. This allows for the creation of easily assessable alternatives and their application to spatial maps, providing local officials with valuable information. To achieve optimal decision-making, the study utilized the Analytic Hierarchy Process (AHP) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) methods along with Spatial Decision Support Systems (SDSS) to generate a suitability map. The results highlight that 28% of the study area is well-suited for post-fire forest restoration, with 44% moderately appropriate, while 3% is deemed unsuitable for restoration until the end of 2023 due to severe soil loss or inherent geographical challenges.

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Section: Methodsmentioning

confidence: 99%

Utilizing Comprehensive Criteria and Indicators for Post-Fire Forest Restoration in Spatial Decision Support Systems (SDSS)

Alayan,

Lakner

2024

Forests

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A comprehensive taxonomy for forest fire risk assessment: bridging methodological gaps and proposing future directions

Özcan,

Caglayan,

Kabak

2024

Environ Monit Assess

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Integrated risk mapping for forest fire management using the analytical hierarchy process and ordered weighted average: a case study in southern Turkey

Özcan,

Caglayan,

Kabak

et al. 2024

Nat Hazards

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Forest fires pose a critical problem for natural environments and human settlements, necessitating effective risk management approaches. This study focuses on forest fire risk (FFR) mapping in the Antalya Forest, southern Turkey, by analyzing different criteria. Extensive literature research identifies nearly twenty criteria, which we re-evaluate based on expert opinions and study area characteristics, leading to the selection of four main criteria and fourteen sub-criteria. We process the data using Geographic Information System (GIS) software and calculate weights using the Analytical Hierarchy Process (AHP) and Ordered Weighted Average (OWA) techniques. The main criteria are topographic, meteorological, land use, and forest structure. In the AHP sub-criteria, precipitation, tree species, distance to settlement areas, and elevation receive high values. We classify the resultant FFR maps into five risk classes using both the Jenks Natural Breaks method and equal interval classification. We evaluate the accuracy of our maps using Receiver Operating Characteristic (ROC) analysis and Area Under Curve (AUC) values, based on historical forest fire data. The equal interval classification shows decreased alignment with historical fire data, especially for the AHP method, which performs significantly worse. Both OWA and AHP methods show better performance with Jenks classification compared to equal interval classification, indicating that Jenks Natural Breaks more effectively captures natural groupings in the data, making it a more suitable choice for risk mapping. Applying AHP and OWA in FFR mapping benefits regional forest management and highlights the universal applicability of these methodologies for broader environmental hazard assessments under changing climates.

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Application of earth observation dataset and multi-criteria decision-making technique for forest fire risk assessment in Sikkim, India

Cited by 4 publications

References 0 publications

Utilizing Comprehensive Criteria and Indicators for Post-Fire Forest Restoration in Spatial Decision Support Systems (SDSS)

Utilizing Comprehensive Criteria and Indicators for Post-Fire Forest Restoration in Spatial Decision Support Systems (SDSS)

A comprehensive taxonomy for forest fire risk assessment: bridging methodological gaps and proposing future directions

Integrated risk mapping for forest fire management using the analytical hierarchy process and ordered weighted average: a case study in southern Turkey

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