D6.1 Conceptual framework for remote sensing-based CH monitoring

V. Karathanassi, A. Georgopoulos, A. Doulamis, Enriques Hermandez-Montes
2020 Zenodo  
This deliverable includes the description of the Remote Sensing-based Multiscale Monitoring System (RS-MMS). It describes the relevant system components, products, functionalities and communication links that will ensure connection with the HYPERION platform. In chapter 2, data procurement and data processing, the main components of the RSMMS, are described. Data procurement includes the Ground Control System that is responsible for ground and airborne image acquisition of the Cultural Heritage
more » ... monuments. The document describes the GCS as well as the most appropriate satellite imagery for the monitoring of the pilot areas. Data processing will be carried out in the Generic Ground Station. In this deliverable, new state of the art methods are briefly described to document the main decisions on the advanced image processing and data analysis methods that will be developed and/or applied within the HYPERION framework. The RS-MMS products are described in chapter 3. Some products, such as 3D representation of the monuments, land deformation, etc., address the needs of routine monitoring, while some others address post-disaster requirements and are generated after an earthquake, a flood event, etc. RS-MMS operational functions are described in chapter 4. All the products are stored in the RS-MMS repository, which has the task to communicate with HRAP via the middleware. For this communication, appropriate metadata for the RS-MMS products will be created and an appropriate web cataloguing service for geospatial data (GeoNetwork) will be used. The technical specifications are described in chapter 5. Finally, the appropriate methods that will be developed for dynamic link to hazard and resilience assessment are reported in the same chapter. The deliverable is intended for public use, and it will particularly be helpful for the partners involved in the design of the HYPERION platform.
doi:10.5281/zenodo.6352008 fatcat:nul4udvk35hupazeullordefxa