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Article

Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia

Faculty of Civil Engineering, University of Rijeka, Radmile Matejčić 3, 51000 Rijeka, Croatia
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Remote Sens. 2024, 16(12), 2118; https://doi.org/10.3390/rs16122118
Submission received: 29 March 2024 / Revised: 5 June 2024 / Accepted: 7 June 2024 / Published: 11 June 2024
(This article belongs to the Section Environmental Remote Sensing)

Abstract

Various factors influence wildfire probability, including land use/land cover (LULC), fuel types, and their moisture content, meteorological conditions, and terrain characteristics. The Adriatic Sea coastal area in Croatia has a long record of devastating wildfires that have caused severe ecological and economic damages as well as the loss of human lives. Assessing the conditions favorable for wildfires and the possible damages are crucial in fire risk management. Adriatic settlements and ecosystems are highly vulnerable, especially during summer, when the pressure from tourist migration is the highest. However, available fire risk models designed to fit the macro-scale level of assessment cannot provide information detailed enough to meet the decision-making conditions at the local level. This paper describes a model designed to assess wildfire risks at the meso-scale, focusing on environmental and anthropogenic descriptors derived from moderate- to high-resolution remote sensing data (Sentinel-2), Copernicus Land Monitoring Service datasets, and other open sources. Risk indices were integrated using the multi-criteria decision analysis method, the analytic hierarchy process (AHP), in a GIS environment. The model was tested in three coastal catchments, each having recently experienced severe fire events. The approach successfully identified zones at risk and the level of risk, depending on the various environmental and anthropogenic conditions.
Keywords: Adriatic coast; fire hazard; fire risk; meso-scale; Sentinel-2; open-source data; geospatial AHP Adriatic coast; fire hazard; fire risk; meso-scale; Sentinel-2; open-source data; geospatial AHP

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MDPI and ACS Style

Horvat, B.; Karleuša, B. Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia. Remote Sens. 2024, 16, 2118. https://doi.org/10.3390/rs16122118

AMA Style

Horvat B, Karleuša B. Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia. Remote Sensing. 2024; 16(12):2118. https://doi.org/10.3390/rs16122118

Chicago/Turabian Style

Horvat, Bojana, and Barbara Karleuša. 2024. "Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia" Remote Sensing 16, no. 12: 2118. https://doi.org/10.3390/rs16122118

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