D5.1 Assessment along the IWW corridor and a surrounding disaster affected area, using multi-source remote sensing data

The deliverable 5.1 focuses on the description of methods and tools that have been developed for the assessment along the Inland Waterway (IWW) corridors and the surrounding disaster areas that could be affected by floods, land deformations, etc. using multi source remote sending data in the framework of the PLOTO project. The developed methods were applied on Use Cases B (Budapest region) and C (Wallonia region) and their products serve as reference data for post disaster damage assessment and routine monitoring procedures.In chapter 1, the comprehensive framework for monitoring inland waterways is described, ensuring regular maintenance and early hazard detection. The framework employs advanced computer vision and machine learning techniques for effective monitoring and damage management, while it integrates various data from satellites, UAVs and ground-based sensors. In addition, the data acquisition methods and data processing workflow are thoroughly described for each Use Case to produce Digital Elevation Models, 3D representations including both point clouds and 3D meshes, as well as orthomosaics. The acquired data, including RGB, multispectral data, and point clouds, serve as the basis for deformation and other types of alterations detection and will be used as reference data for creating 4D representations of important infrastructures over different time instances.In chapter 2, the methodology that was developed on water mapping is presented. For effective river monitoring and assessment of the affected areas during and after events, aiding management, and response efforts, the optical sensing instruments on satellites, such as the Sentinel-2 constellation, were leveraged. In this section, the state-of-the-art deep learning algorithms for inland water mapping were used to create binary water maps, improving upon traditional indices like Normalized Difference Water Index (NDWI). These water maps serve as foundational products for subsequent methods and applications focusing on flood and island detection, and river width estimation.In chapter 3, the methods for the multi-sensor synoptic assessment for different disaster scenarios are presented. First, by defining the various disaster scenarios for each Use Case and the sensor strategy that needs to be followed. The damage assessment tool that was developed focuses on the definition of abnormal water coverage and detection of the affected infrastructure utilizing all the available data that were acquired and integrated on the Ground Control Station.The deliverable is intended for public use, and it will particularly be helpful for the partners involved in the design of the PLOTO platform.