Project LADY is approaching the halfway point of its contracted implementation period, with all key planned activities progressing according to schedule. During the first phase of the project, the LADY team produced manual landslide inventories through detailed visual interpretation of high-resolution LiDAR data for selected pilot areas within the project framework.
So far, approximately 18,500 landslide polygons have been delineated in the continental parts of Croatia, resulting in a large, consistent, and high-quality spatial dataset. This achievement represents a major step forward, as the generated polygons constitute the core training dataset for the next project phase – developing of AI-based machine-learning models that will enable the application capable of automatic landslide detection from LiDAR derivatives.
In the upcoming period, project activities will intensify, with a strong focus on the development and testing of this application. Alongside, the project team will further elaborate the methodology for landslide risk assessment, ensuring that the project outputs are practical, transferable, and applicable to real-world needs.
In conclusion, project LADY aims to help establish the foundation for a national landslide inventory, as an essential dataset for further development of preventive hazard and risk maps, as well as for more effective response and recovery following extreme events. In this way, the project directly supports improved evidence-based decision-making and strengthens resilience across the Programme area.
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