| D1.1 - Data sources and Knowledge Lead partner SISTEMA This deliverable describes the “Identification of data and knowledge sources and integration and interoperability requirements” activities and outcomes with a focus on the identification, classification and evaluation of the data sources considered useful for Shelter scopes and on the applied methodology. |  | |
| D1.2 - Building of best/next practices observatory Lead partner UNIBO The overall objective of this report is to provide an effective codification of existing knowledge. This is achieved by adapting existing ontologies, building of a lesson learned and next practices observatory based on existing best practices on adaptive governance for cultural heritage management, local knowledge and historical event. | | |
| D2.1 - HA Resilience structure Lead partner TECNALIA This deliverable defines the strategy for the integration of the different project methodological results in the SHELTER operative knowledge framework. The workflow and the dimensions for developing the framework has been established defining the interplay (output and inputs) of the Open Labs and data driven platform. | | |
| D2.2 - HA Systemic resilience assessment and monitoring framework Lead partner CRCM This deliverable developed the multiscale indicator that will be the basis for the risk dependent resilience assessment based on hazard, exposure and vulnerability (of single risk and combinations of risks) at artefact, building and district scale but also for the generalised multiscale resilience. | | |
| D6.1 - GLOCAL user requirements Lead partner CRCM The deliverable identified GLOCAL user requirements for Disaster Risk Management and Climate Change Adaptation to heritage looking at the bottom-up (local) and top-down (global) levels. Identification is based on the use case scenarios, ex-post analysis and international experience. | | |
| D6.2 - ICT-community interaction rulebook Lead partner ULIEGE The deliverable outlines the development of a community interaction rulebook (CIR) aiming to explore the role of information communication technology (ICT) in adaptive governance and identifies some key ‘rules’ to guide the development of the Open Labs within the SHELTER Project. | | |
| D6.5 - Methodology for Local Knowledge extraction Lead partner POLITO The deliverable defines a theoretical and practical framework to include and take into account those informal knowledge and local factors that represent the peculiar long-lasting interaction of the communities with their environment, providing tools for extracting Local Knowledge, Sense of place and Peer learning addressed to local stakeholders in Open Labs. | | |
| D8.1 - Dissemination and communication plan Lead partner EURONET The deliverable serves as a guideline for the promotion activities carried out by SHELTER Consortium, including a scouting of relevant conferences, workshops, events and journals aligned with the project scopes. | |
| AI-based flood event understanding and quantification using online media and satellite data Lead partner LINKS |
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| Water Segmentation with Deep Learning Models for Flood Detection and Monitoring Lead partner LINKS |
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| Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolutional Neural Networks Lead partner LINKS |
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| Sentinel-1 Flood Delineation with Supervised Machine Learning Lead partner LINKS, POLITO |
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| Double-Step U-Net - A Deep Learning-Based Approach for the Estimation of Wildfire Damage Severity through Sentinel-2 Satellite Data Lead partner LINKS, POLITO |
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| Investigating the Integration of Cultural Heritage Disaster Risk Management into Urban Planning Tools. The Ravenna Case Study Lead partner UNIBO |
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