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Sustainable Historic Environments hoListic reconstruction through Technological Enhancement and community based Resilience


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

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


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


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
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

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

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

Managing water risks in archaeological sites: the flooding of the complex of Santa Croce in Ravenna.

Publié dans: SCIENZA E BENI CULTURALI, Issue 2, 2020, ISBN 978-88-95409-24-5

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

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

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