Development of a Support System for Improved Resilience and Sustainable Urban areas to cope with Climate Change and Extreme Events based on GEOSS and Advanced Modelling Tools

Leistungen

Data management plan & Data ethics report v1

Report describing the way data generated and collected during the project will be handled (storage, sharing, access, etc.)This deliverable is the output of task T.1.5

Urban Context data acquisition & integration

This regards the “rich” set of information for the 4 pilot cities to be used in the HARMONIA geographic in-formation management system that provides a spatial understanding for cities.This deliverable is the output of task T. 3.2

Requirements and availability on data acquisition transformation & intelligence extraction

Report that will describe what kind of data is already available and what impact modelling is needed for the targeted inferenceThis deliverable is the output of task T22

EO data acquisition & integration

Report which will include detaled information of the relevant data sources with the acquisition mode selected for Harmonia tasks. The report will also present reasoning and technical details of the integration method se-lected, this will include also data and metadata maps with task linkage.This deliverable is the output of task T. 3.4

Data annotation

Report which examine annotation methods and their implementationThis deliverable is the output of task T 35

Veröffentlichungen

Multi-Spectral Band Selection and Spatial Explanations Using XAI Algorithms in Remote Sensing Applications

Autoren: Anastasios Temenos, Nikos Temenos, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis
Veröffentlicht in: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, ISSN 2153-7003
Herausgeber: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/igarss52108.2023.10282565

Integrating Earth-Observation services to improve the resilience of Milan urban area towards Climate Change within HARMONIA project

Autoren: Julia Nerantzia Tzortzi, Maria Stella Lux, Rita Maria Cristina Musacchio, Carlo Andrea Castiglioni
Veröffentlicht in: Joint Urban Remote Sensing Event (JURSE), 2023, ISSN 2642-9535
Herausgeber: IEEE
DOI: 10.1109/jurse57346.2023.10144183

Changing Cities for Resilience against Climate Changes: Architectural, Engineering and Human Health Implications – The H2020 Project HARMONIA

Autoren: J.N. Tzortzi, G. Barbotti, C.A. Castiglioni , A. Voza
Veröffentlicht in: PROCEEDINGS of the INTERNATIONAL CONFERENCE on CHANGING CITIES V Spatial, Design, Landscape, Heritage & Socio-economic Dimensions, 2022, ISSN 2654-0460
Herausgeber: University of Thessaly, Department of Planning and Regional Development, Laboratory of Urban Morphology & Design, Volos, Greece

Multi-Modal Deep Learning For Multi-Temporal Urban Mapping With A Partly Missing Optical Modality

Autoren: Sebastian Hafner, Yifang Ban
Veröffentlicht in: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, Seite(n) 6843-6846, ISSN 2153-6996
Herausgeber: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/igarss52108.2023.10281626

A novel web-based decision support tool for enhancing urban resilience and sustainability

Autoren: Christos Kontopoulos, Efthymios Magkoufis, Anna Papadima, Despoina Skoulidou, Athanasia Kazantzi, Sebastian Hafner
Veröffentlicht in: Ninth International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2023, Ausgabe article id 1278600, 2023, ISSN 0277-786X
Herausgeber: SPIE-Intl Soc Optical Eng
DOI: 10.1117/12.2681912

HARMONIA: strategy of an integrated resilience assessment platform (IRAP) with available tools and geospatial services.

Autoren: J N Tzortzi, A Doulamis, I Rallis, M S Lux, G Barbotti, I Tzortzis
Veröffentlicht in: IOP Conference Series: Earth and Environmental Science -, Ausgabe Volume 1122, 2022, Seite(n) 012020
Herausgeber: IOP Publishing
DOI: 10.1088/1755-1315/1122/1/012020

Using open data to reveal factors of urban susceptibility to natural hazards and man-made hazards: case of Milan and Sofia

Autoren: Alberto Vavassori, Angelly De Jesús Pugliese Viloria, Maria Antonia Brovelli
Veröffentlicht in: GeoScape, Ausgabe Volume 16, Ausgabe 2, December 2022, 2022, Seite(n) 93 - 107, ISSN 1802-1115
Herausgeber: Sciendo
DOI: 10.2478/geosc-2022-0008

Insights into the Effect of Urban Morphology and Land Cover on Land Surface and Air Temperatures in the Metropolitan City of Milan (Italy) Using Satellite Imagery and In Situ Measurements

Autoren: Mathilde Puche,Alberto Vavassori, Maria Antonia Brovelli
Veröffentlicht in: Remote Sensing, Ausgabe Volume 15, Ausgabe 3, 2023, Seite(n) 733, ISSN 2072-4292
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs15030733

AgriSen-COG, a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep Learning

Autoren: Teodora Selea
Veröffentlicht in: Remote Sensing, Ausgabe vol.15, issue 12, 2023, Seite(n) 2980, ISSN 2072-4292
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs15122980

C2A-DC: A context-aware adaptive data cube framework for environmental monitoring and climate change crisis management

Autoren: Anastasios Temenos, Nikos Temenos, Ioannis N. Tzortzis, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis
Veröffentlicht in: Remote Sensing Applications: Society and Environment, Ausgabe Volume 34, 2024, 101171, 2024, ISSN 2352-9385
Herausgeber: Elsevier
DOI: 10.1016/j.rsase.2024.101171

Seismic fragility assessment of high-rise stacks in oil refineries

Autoren: Karaferis D. Nikolaos, Kazantzi Athanasia, Melissianos E. Vasileios, Bakalis Konstantinos, & Vamvatsikos Dimitrios
Veröffentlicht in: Bulletin of Earthquake Engineering, Ausgabe issue 20, 2022, Seite(n) 6877–6900, ISSN 1573-1456
Herausgeber: Springer
DOI: 10.1007/s10518-022-01472-2

Semi-Supervised Urban Change Detection Using Multi-Modal Sentinel-1 SAR and Sentinel-2 MSI Data

Autoren: Sebastian Hafner,Yifang Ban, Andrea Nascetti
Veröffentlicht in: Remote Sensing, Ausgabe Vol. 15, no 21, article id 5135, 2023, ISSN 2072-4292
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs15215135

Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data

Autoren: Sebastian Hafner, Yifang Ban, Andrea Nascetti
Veröffentlicht in: Remote Sensing of Environment, Ausgabe Vol 280, 113192, 2022, ISSN 1879-0704
Herausgeber: Elsevier
DOI: 10.1016/j.rse.2022.113192

Leistungen

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