Το work with title Investigation of the correlation of meteorological parameters and vegetation indicators with burned areas from fires in Greece by Dimitriou Vasiliki is licensed under Creative Commons Attribution 4.0 International
Bibliographic Citation
Vasiliki Dimitriou, "Investigation of the correlation of meteorological parameters and vegetation indicators with burned areas from fires in Greece", Master Thesis, School of Chemical and Environmental Engineering, Technical University of Crete, Chania, Greece, 2025
https://doi.org/10.26233/heallink.tuc.104168
This thesis focuses on forest fires in Greece, analyzing their frequency, intensity, and impacts through a multidimensional methodological approach. The Mediterranean climate of Greece, characterized by hot and dry summers, combined with the abandonment of agricultural activities and inadequate forest management, creates conditions of high fire risk. Factors such as climatic conditions, vegetation, topography, and human activities influencing fire behavior and spread are examined. The study analyzes the flammability of fuel types, the spatial distribution of fires, and the interaction of topographic features with meteorological conditions using advanced statistical methods such as simple and multivariate linear regression, backward regression, and standardized beta coefficient analysis. Spatial visualization of the results is achieved through GIS, enabling the depiction of critical data to support decision-making.The findings indicate that high biomass accumulation, prolonged droughts, and heatwaves significantly increase the sensitivity of Greek ecosystems to fires. Simultaneously, forest fires cause severe ecological and socio-economic consequences, including soil degradation, biodiversity loss, and disruption of critical ecosystem functions. Positive effects are also recognized, such as biodiversity enhancement in fire-adapted ecosystems. The thesis concludes with strategic management and mitigation proposals, including the creation of firebreak zones, removal of dry biomass, use of risk prediction technologies, and implementation of sustainable management practices. These proposals aim to reduce fire risk, enhance ecosystem resilience, and preserve natural and social resources.