Assessing Post-Fire Effects on Soil Loss Combining Burn Severity and Advanced Erosion Modeling in Malesina, Central Greece

Earth’s ecosystems are extremely valuable to humanity, playing a key role ecologically, economically, and socially. Wildfires constitute significant threat the environment, especially in vulnerable ecosystems, such as those that commonly found Mediterranean. Due their strong impact on they provide crucial factor managing behavior, causing dramatic modifications land surface processes dynamics leading degradation. The soil erosion phenomenon downgrades quality reduces productivity. Thus, it is imperative implement advanced prediction models assess fire effects characteristics. This study focuses examining wildfire case burned 30 km2 Malesina of Central Greece 2014. added value remote sensing today, high accuracy satellite data, has contributed visualizing area concerning severity event. Additional data from local weather stations were used quantify loss seasonal basis using RUSLE modeling before after wildfire. Results this revealed there remarkable variety values, winter periods. More particularly, was 30% rise one year wildfire, while five years event, an almost double reduction observed. In specific areas with infrastructure works carried out validating applied methodology. approach adopted underlines significance geoinformation techniques post-fire identifying based parameters scale.