Landslide Risk Management in Areas Affected by Wildfires or Floods: A Comprehensive Framework Integrating GIS, Remote Sensing Techniques, and Regional Climate Models
Published:
Dec 27, 2023
Keywords:
Landslides (GIS) technology Remote sensing Regional Climate Models Multi-Criteria Decision Analysis (MCDA) Landslide Susceptibility Assessment
Abstract
Over the past few decades, numerous studies and technical surveys have documented a significant number of landslides activated in areas that had recently been affected by wildfires or floods, thereby suggesting a potential link between landslides and these phenomena. With the climate crisis exacerbating the intensity and frequency of wildfires and floods, understanding this link has nowadays become even more crucial and requires further exploration. This study proceeds along this path and establishes a comprehensive framework for rapidly evaluating the effect of a wildfire or a flood on the local landslide mechanism, as well as for effectively managing landslide hazards in the affected area. The proposed framework incorporates advanced Geographical Information System (GIS) tools, remote sensing techniques, and state of the art regional climate models, to assess landslide hazard and risk from wildfires and floods on the impacted area, as well as to offer vital tools for landslide management. Consequently, it provides a comprehensive and thorough assessment of the impact of these catastrophic phenomena on affected areas. Remote sensing and GIS techniques offer a cost-effective solution, as these methods, contrary to traditional in-situ methods, can be easily and rapidly applied even on large and complex areas. The integration of regional climate models also ensures the long-term viability of the proposed approach, as it takes under consideration the impacts of the climate crisis. As a result, the proposed framework contributes to scientists’ ongoing efforts in understanding the dynamic character of the landslides phenomenon that evolves and interacts with other natural disasters. Simultaneously, the results of the proposed methodology can effectively contribute to the local stakeholders’ efforts to promptly assess the relative impact and make informed decisions regarding the required mitigation measures. Wildfires that ravaged the Chania regional unit in western Crete, Greece, in 2021, are selected as a case study to highlight the applicability and effectiveness of the proposed framework.
Article Details
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Nefros, C., & Loupasakis, C. (2023). Landslide Risk Management in Areas Affected by Wildfires or Floods: A Comprehensive Framework Integrating GIS, Remote Sensing Techniques, and Regional Climate Models . Bulletin of the Geological Society of Greece, 60(1), 27–68. https://doi.org/10.12681/bgsg.35629
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- Remote Sensing and GIS
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