ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps

Most published palaeoflood databases are outdated, lack hydrological data, and are difficult to access, especially for non-research communities such as flood risk managers. PaleoRiada, the first open palaeoflood database for Spain, addresses these issues by compiling data from 299 palaeoflood records, accessible via ArcGIS Online. This database aims to support the revision of Potential Significant Flood Risk Areas, providing insights for regions not included in current national flood maps.

This study proposes a novel systematic workflow that integrates source area identification, deterministic runout modelling, the classification of runout outputs to derive susceptibility zonation, and robust procedures for validation and comparison. The proposed approach enables the integration and comparison of different modelling, introducing a robust and consistent workflow/methodology that allows us to derive and verify rockfall susceptibility zonation, considering different steps.

This paper presents a new framework for landslide detection using radar and deep learning, informed by 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 global landslide detection, benefiting disaster management and advancing methods for monitoring hazardous terrains.