PROCESSING AND PUBLISHING THE ACTIVE DEFORMATION AREAS OF ALL EUROPE – CONCEPT AND FIRST IMPLEMENTATION STEPS FOR A LOW-COST SOLUTION

This paper presents a framework for landslide rapid detection using radar and deep learning, trained and tested on data from ≈73000 landslides across diverse regions in the world. The method showed high accuracy and rapid response potential regardless of weather and illumination conditions. By overcoming the limits of optical satellite imagery, it offers a powerful tool for timely landslide disaster response, benefiting disaster management and advancing methods for monitoring hazardous terrains.

This study analyzes nitrogen dioxide available data in Catalonia, a region with diverse geography and climate, by comparing satellite- and ground-based data from 2022–2023. Analyses at various scales showed a moderate overall correlation – stronger in suburban areas and weaker in urban zones. Correlations peaked in winter and autumn, likely due to stable weather. The findings suggest that satellite data can complement ground monitoring but require adjustments for regional and climatic variations.