Livrables Documents, reports (27) Sava River Open Lab The final deliverable will compile the eight sixmonthly reports that have been generated in Open Lab including the minutes and results from all the workshops Seferihizar Open Lab The final deliverable will compile the eight sixmonthly reports that have been generated in Open Lab including the minutes and results from all the workshops Methodology for Local Knowledge extraction This deliverable will provide a guidance dedicated to local experts willing to rapidly gather local knowledge about the history, perceived risks and resilience of a place. It provides short descriptions of the different techniques that can be used at this respect (surveys, focus groups, field visits etc.), with illustrative results and an analysis of their key benefits Anatomy of HA The deliverable will describe the methodology to categorise CH assets (including archaeological sites, structures, artefacts and intangible CH) build upon existing domain ontologies (D1.2. It will include the interactions with the stakeholders and relevant players defined in D6.1 and the interconnection and relationship between the different scales of heritage assets according to factors describing their relationship with climate change impacts and their suitability for potential adaptation measures. Historical events information (D1.2) for linking cultural heritage assets to their intangible heritage (narratives and visual sources) will be included and combined with social media engine (T3.5) data for considering a broader historic areas’ significance. SHELTER lesson learnt: replicability of SHELTER results The report will include the conclusion of the comparative analysis of the 5 open labs and endusers and scientific validation of results Strategy for early recovery roadmap The deliverable will provide a guideline for identifying acceptable effective and preplanned strategies to generate a roadmap that will be tested in each cases study through Open Labs WP7 guideline for identifying acceptable and effective and preplanned strategies It will define the use of Resilience ID D41 and the backup models for the identification of relevant information necessary for the reconstruction process HA Systemic resilience assessment and monitoring framework This deliverable will develop 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 (from building to transnational regions). The defined hierarchical structure of indicators for resilience assessment will include the set of KPI for establishing the baseline and monitoring strategy for case studies and will establish the required data sources and data analytics specifications to calculate them (including gender stadistics) considering the limitations identified in the comparative analysis carried out in T1.1.and proposing alternative data sources (or KPIs). Dissemination and communication plan The report will provide the guidelines for promotion activities carried out by consortium including a scouting of relevant conferences workshops events and journals aligned with the project scopes Dordrecht Open Lab The final deliverable will compile the eight sixmonthly reports that have been generated in Open Lab including the minutes and results from all the workshops Ravenna Open Lab The final deliverable will compile the eight sixmonthly reports that have been generated in Open Lab including the minutes and results from all the workshops Multiscale data model This deliverable will describe the data models that will be implemented to share and visualize georeferenced data for the OpenLabs. The complexity of the CHM domain implies a multisource approach that takes into account the temporal, the spatial, the social and the cultural dimensions adapted to different scales from city to region in different levels of detail. The multiscale-multisource data model is the way the data lake content will be spatially exploited by the consortium (WP5) and by the stakeholders (WP7). Resilience ID incremental strategy This deliverable will include the detailed definition of the incremental strategy for the implementation of the Resilience ID the workflow to generate it using the Data Driven Platform the structure of the information and the visualisation in the multiscale data model Baixa Limia-Serra Do Xurés Natural Park Open Lab The final deliverable will compile the eight sixmonthly reports that have been generated in Open Lab including the minutes and results from all the workshops Resilience business and financing landscape geography This deliverable will define and characterize the resilience business and financing landscapes of the 5 case studies It describes through examples and illustrations the proposed schemes to involve key stakeholders and the business community at each stage of the DRM from the risk assessment to the recovery Consolidation and structural stabilization in emergency phases This document will compile and analyse the suitability of existing techniques for rapid stabilization and recovery of CH assets considering their characteristic and it will also include the development of a multicriteria methodology under uncertainty to prioritize emergency intervention techniques in each case HA Resilience co-production playbook The deliverable will detail the co-creation strategies blueprints that cover diverse hazards, HA typologies, DRM phases and type of solutions. Specific hazard risk assessment The deliverable will describe a spatially explicit methodology to assess the risk regarding specific hazards and their synergistic impact based on the results of D22 its application to case studies and its fine tuning It will include the procedure definition with theidentification of requiredexisting data sources the definition to detect the techniques and needs for transform standardise and impute missing values the algorithms and multiscale data analytics and geospatial computing required for indicators calculation and the methods for weighting and combining vulnerabilityresilience factors and categorizing and performing sensitivity analysis Guidelines for the integrated management of CH in CCA/DRM and of CH disaster management within existing planning policies, planning tools and building codes The deliverable will describe general recommendation for regions and local authorities on how to integrate CH disaster management into existing policies and urban planning instruments and CH tailored approaches in DRM Data lake This deliverable will describe the data lake structure and the data lake model The data lake is the concept chosen in SHELTER to manage the huge amount of heterogeneous geospatial nongeospatial structured and unstructured knowledge collected and generated during the project activities The data lake approach is the response to the need of a dynamic flexible scalable and continuously evolving data model to exploit and take the maximum benefit from existing social knowledge and the knowledge generated within the project by means of cocreation processes GLOCAL user requirements This deliverable will define the user requirements for SHELTER developments. It is based on a matrix identifying key stakeholders, with their characteristics and needs as well as their potential involvement in the CHMN, CCA and DRM at the different stages of the process. The matrix is designed to be adaptable to specific situations by local experts. HA systemic Resilience Index The deliverable will define the procedure for the implementation of the systemic resilience assessment methodology at HA scale that will integrate the specific hazard risk assessment described in D25 as a nested concept and the results from ABM modelling D26 The methodology for HA Resilience Index will be described i integrating multidimensional resilience assessments results building environment cultural social governance and institutional resilience economic and environmental resilience ii identifying the required data analysis and index computation and ii performing sensitivity and uncertainty analysis Maintenance protocols and rehabilitation The deliverable will describe the protocols and schedules to establish an approach to disaster readiness and rehabilitation through effective maintenance Interventions will be considered with temporal schemes and schedules community involvement and implementation models will be studied ABM for scenario analysis The report will describe the scenario simulation methodology using Agent Based Modelling ABM regarding the preparedness of agents to cover spatial and temporal patterns in case of the occurrence of disruptions It will describe the results of the simulations to determine and compare parameters such as fatality number injury number total number of citizens exposed to disaster financial impact and recovery rate provided and complete recovery time needed after the event and the evaluation of preparedness in terms of infrastructure and equipment communication needs administrative and insurance preparedness and recovery scenarios HA Resilience structure The deliverable will define the strategy for the integration of the different project methodological results in the SHELTER operative knowledge framework (T4.6). The workflow and the dimensions for developing the framework will be established defining the interplay (output and inputs) of the Open Labs (WP7) and data driven platform (WP5). ICT-community interaction rulebook This report will specify the role of data driven approaches and ICTs in the development of collaborative governance structures for DRM, designing the interplay between rules, limitations and drivers of Open Labs and the DDP. Data sources and Knowledge This deliverable will describe all the information needed to put into operation the data and the knowledge identified in all the tasks of WP1 The deliverable will report not only the list of the data sources but also the criteria mainly based on FAIR principles that will be implemented for data identification like the relevance for the scope of the project the usability the lifecycle of the data the implemented standards the level of interoperability the costs capex and opex if any the SLA the reliability the reputation of the data provider and or data owner The deliverable will describe any kind of metadata that might be useful for the full exploitation and democratization of the data This deliverable will be the results of iterations and the exchanges with the WP2 WP3 WP5 and WP7 and will include a comparative analysis of the existence of the required information and data in HAs at European level focused in the participating countries Characterisation of hazards, climate change events and impacts The deliverable will describe the methodology for characterisation of hazards climate change events and impacts and projectionsscenarios It will classify events and related impacts affecting CH identifying different time horizon scenarios and establishing what we know and do not know making a distinction between known types of events unknown types of events and unexpected It will identify key uncertainties and possible gaps due to missing information It will include other nonclimate stresses such as the socioeconomic impacts of CC including tourism in the selected sites will be also addressed including local knowledge extracted in Open Labs Other (2) Building of best/next practices observatory This deliverable will report the results of the survey about the domain specific ontologies, best practices and local knowledge about historical events concerning cultural heritage management protocols. As outcome of this survey, the deliverable will contain guidelines about how to communicate issues dealing with climate change and cultural heritage with the scope to bridge the gap between science, policy, and CHM practice. These guidelines will be a reference for the whole consortium, but they will be particularly useful for the task related to the WP6 and WP7 where a strong interaction with stakeholder and user communities is expected with the scope to collect requirements, to transfers the knowledge and, more in general, to raise the local awareness about the relevance and the value of CH. The generated knowledge as results of the survey will be organized in the data lake structure. Mapping of adaptive governance schemes Visual mapping of the different types of governance structures applicable at different stages of the DRM with a detailed description of their advantages and limitations Publications Conference proceedings (10) Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolutional Neural Networks Auteurs: Farasin, Alessandro; Colomba, Luca; Palomba, Giulio; Nini, Giovanni; Rossi, Claudio Publié dans: Issue 1, 2020 Éditeur: ISCRAM Digital Library Sentinel-1 Flood Delineation with Supervised Machine Learning Auteurs: Palomba, Giulio; Farasin, Alessandro; Rossi, Claudio Publié dans: Proceedings of the 17th ISCRAM Conference, Issue May 2020, 2020, Page(s) 1072-1083 Éditeur: ISCRAM Digital Library An agent-based model of greening a city for reducingpluvial flooding at a cultural heritage site Auteurs: Emily West , Rembrandt Koppelaar , Aitziber Egusquiza Ortega, Angela Santangelo, Eleonora Melandri Publié dans: International Workshop on Agent-Based Modelling of Urban Systems (ABMUS) Proceedings: 2022, 2022 Éditeur: AMBUS DOI: 10.6084/m9.figshare.19733800.v1 Impact Estimation of Emergency Events Using Social Media Streams Auteurs: Giacomo Blanco; Edoardo Arnaudo; Dario Salza; Claudio Rossi Publié dans: Issue 11, 2022 Éditeur: Zenodo DOI: 10.5281/zenodo.7016653 AI-based flood event understanding and quantification usingonline media and satellite data Auteurs: Mirko Zaffaroni, Laura Lopez-Fuentes, Alessandro Farasin, Paolo Garza, Harald Skinnemoen Publié dans: MediaEval’19, 2019 Éditeur: CEUR-WS THE COMPLEX OF SANTA CROCE IN RAVENNA AS A CASE STUDY: INTEGRATION OF 3D TECHNIQUES FOR SURVEYING AND MONITORING OF A HISTORICAL SITE Auteurs: Gabriele Bitelli; Ester Barbieri; Valentina Alena Girelli; Alessandro Lambertini; Emanuele Mandanici; Eleonora Melandri; Domenico Simone Roggio; Angela Santangelo; Maria Alessandra Tini; Simona Tondelli; Andrea Ugolini Publié dans: Proceedings of the joint international event 9 th ARQUEOLÓGICA 2.0 & 3 rd GEORES, Issue 6, 2021 Éditeur: UPV DOI: 10.4995/arqueologica9.2021.12164 AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data Auteurs: Mirko, Zaffaroni; Laura Lopez Fuentes,; Farasin, Alessandro; Garza, Paolo; Harald, Skinnemoen Publié dans: CEUR WORKSHOP PROCEEDINGS, 2019 Éditeur: Aachen: M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen. Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolutional NeuralNetworks Auteurs: Farasin, Alessandro; Colomba, Luca; Palomba, Giulio; Nini, Giovanni; Rossi, Claudio Publié dans: Proceedings of the 17th ISCRAM Conference, Issue May 24-27, 2020, 2020, Page(s) 1060-1071 Éditeur: ISCRAM Digital Library Risk Assessment Methodologies to Safeguard Historic Urban Areas from the Effects of Climate Change Auteurs: LAURA QUESADA-GANUZA, LEIRE GARMENDIA, EDUARDO ROJÍ,IRANTZU ÁLVAREZ, ESTIBALIZ BRIZ, MARTA OLAZABAL Publié dans: 12 th International Conference on Structural Analysis of Historical Constructions, 2021, ISBN 978-84-123222-0-0 Éditeur: CIMNE DOI: 10.23967/sahc.2021.214 Water Segmentation with Deep Learning Models for Flood Detection and Monitoring Auteurs: Mirko Zaffaroni, Claudio Rossi Publié dans: Proceedings of the 17th ISCRAM Conference, Issue May 2020, 2020, Page(s) 66-74 Éditeur: ISCRAM Digital Library Peer reviewed articles (7) Investigating the Integration of Cultural Heritage Disaster Risk Management into Urban Planning Tools. The Ravenna Case Study Auteurs: Angela Rosa, Angela Santangelo, Simona Tondelli Publié dans: Sustainability, Issue 13/2, 2021, Page(s) 872, ISSN 2071-1050 Éditeur: MDPI Open Access Publishing DOI: 10.3390/su13020872 A holistic and multi-stakeholder methodology for vulnerability assessment of cities to flooding and extreme precipitation events Auteurs: Alessandra Gandini; Leire Garmendia; Iñaki Prieto; Irantzu Álvarez; José-Tomás San-José Publié dans: Sustainable Cities and Society, Issue 9, 2020, ISSN 2210-6707 Éditeur: Elsevier BV DOI: 10.1016/j.scs.2020.102437 Using Organigraphs to Map Disaster Risk Management Governance in the Field of Cultural Heritage Auteurs: Mirza Sarač; Jacques Teller; Duygu Basoglu; Atish Vadher; Louis Durrant Publié dans: Sustainability, Issue 15, 2022, ISSN 2071-1050 Éditeur: MDPI Open Access Publishing DOI: 10.3390/su14021002 Climate change risk assessment: A holistic multi-stakeholder methodology for the sustainable development of cities Auteurs: Alessandra Gandini; Laura Quesada; Iñaki Prieto; Leire Garmendia Publié dans: Sustainable Cities and Society, Issue 3, 2021, ISSN 2210-6707 Éditeur: Elsevier BV DOI: 10.1016/j.scs.2020.102641 Enhancing Resilience of Cultural Heritage in Historical Areas: A Collection of Good Practices Auteurs: Angela Santangelo; Eleonora Melandri; Giulia Marzani; Simona Tondelli; Andrea Ugolini Publié dans: Sustainability; Volume 14; Issue 9; Pages: 5171, Issue 4, 2022, ISSN 2071-1050 Éditeur: MDPI Open Access Publishing DOI: 10.3390/su14095171 Do we know how urban heritage is being endangered by climate change? A systematic and critical review Auteurs: Laura Quesada-Ganuza; Leire Garmendia; Eduardo Rojí; Alessandra Gandini Publié dans: International Journal of Disaster Risk Reduction, Issue 4, 2021, ISSN 2212-4209 Éditeur: Elsevier Limited DOI: 10.1016/j.ijdrr.2021.102551 Double-Step U-Net: A Deep Learning-Based Approach for the Estimation of Wildfire Damage Severity through Sentinel-2 Satellite Data Auteurs: Alessandro Farasin, Luca Colomba, Paolo Garza Publié dans: MDPI Applied Sciences, Issue vol 10. issue 12, 2020, ISSN 2076-3417 Éditeur: MDPI DOI: 10.3390/app10124332 Book chapters (3) Managing water risks in archaeological sites: the flooding of the complex of Santa Croce in Ravenna. Auteurs: ANDREA UGOLINI, ELEONORA MELANDRI, EMILIO ROBERTO AGOSTINELLI, MASSIMO SERICOLA, MARIANGELA VANDINI, SARA FIORENTINO Publié dans: SCIENZA E BENI CULTURALI, Issue 2, 2020, ISBN 978-88-95409-24-5 Éditeur: EDIZIONE ARCADIA RICERCHE Sr Impatti del cambiamento climatico e dei rischi naturali sulle aree storiche: il contributo della pianificazione urbanistica per migliorare la resilienza urbana nel progetto H2020 SHELTER Auteurs: Santangelo Angela; Tondelli Simona Publié dans: CONSUMO DI SUOLO, SERVIZI ECOSISTEMICI E GREEN INFRASTRUCTURES: Metodi, ricerche e progetti innovativi per incrementare il Capitale naturale e migliorare la resilienza urbana. Rapporto 2022, Issue 4, 2022, ISBN 978-88-7603-234-9 Éditeur: INU edizioni A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images Auteurs: Edoardo Arnaudo; Fabio Cermelli; Antonio Tavera; Claudio Rossi; Barbara Caputo Publié dans: Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064296, Issue 13232, 2022 Éditeur: Springer DOI: 10.1007/978-3-031-06430-2_62 Non-peer reviewed articles (4) MMFlood: A Multimodal Dataset for Flood Delineation from Satellite Imagery Auteurs: Claudio Rossi; Fabio Montello; Edoardo Arnaudo Publié dans: IEEE Access, Issue 10, 2022, ISSN 2169-3536 Éditeur: Institute of Electrical and Electronics Engineers Inc. DOI: 10.1109/access.2022.3205419 Paving the Way for Climate Neutral and Resilient Historic Districts Auteurs: Aitziber Egusquiza; Daniel Lückerath; Saioa Zorita; Sophia Silverton; Gemma Garcia; Emilio Servera; Alessandra Bonazza; Igone Garcia; Antonis Kalis Publié dans: Open Research Europe, Issue 9, 2023, ISSN 2732-5121 Éditeur: Open Research Europe DOI: 10.12688/openreseurope.15392.1 An integrated approach to the monitoring of rising damp in historic brick masonry Auteurs: Elisa Franzoni; Bensu Berk; Mattia Bassi; Clelia Marrone Publié dans: Construction and Building Materials, Issue 370, 2023, ISSN 0950-0618 Éditeur: Elsevier BV DOI: 10.1016/j.conbuildmat.2023.130631 Disaster Risk Management and Cultural Heritage: The Perceptions of European World Heritage Site Managers on Disaster Risk Management Auteurs: Louis Durrant; Atish Vadher; Jacques Teller Publié dans: International Journal of Disaster risk reduction, Issue 89, 2023, ISSN 2212-4209 Éditeur: Elsevier Limited DOI: 10.2139/ssrn.4121272 Recherche de données OpenAIRE... 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