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

Rezultaty

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

Publikacje

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

Autorzy: Anastasios Temenos, Nikos Temenos, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis
Opublikowane w: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, ISSN 2153-7003
Wydawca: 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

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

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

Autorzy: J.N. Tzortzi, G. Barbotti, C.A. Castiglioni , A. Voza
Opublikowane w: PROCEEDINGS of the INTERNATIONAL CONFERENCE on CHANGING CITIES V Spatial, Design, Landscape, Heritage & Socio-economic Dimensions, 2022, ISSN 2654-0460
Wydawca: 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

Autorzy: Sebastian Hafner, Yifang Ban
Opublikowane w: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, Strona(/y) 6843-6846, ISSN 2153-6996
Wydawca: 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

Autorzy: Christos Kontopoulos, Efthymios Magkoufis, Anna Papadima, Despoina Skoulidou, Athanasia Kazantzi, Sebastian Hafner
Opublikowane w: Ninth International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2023, Numer article id 1278600, 2023, ISSN 0277-786X
Wydawca: 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.

Autorzy: J N Tzortzi, A Doulamis, I Rallis, M S Lux, G Barbotti, I Tzortzis
Opublikowane w: IOP Conference Series: Earth and Environmental Science -, Numer Volume 1122, 2022, Strona(/y) 012020
Wydawca: 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

Autorzy: Alberto Vavassori, Angelly De Jesús Pugliese Viloria, Maria Antonia Brovelli
Opublikowane w: GeoScape, Numer Volume 16, Numer 2, December 2022, 2022, Strona(/y) 93 - 107, ISSN 1802-1115
Wydawca: 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

Autorzy: Mathilde Puche,Alberto Vavassori, Maria Antonia Brovelli
Opublikowane w: Remote Sensing, Numer Volume 15, Numer 3, 2023, Strona(/y) 733, ISSN 2072-4292
Wydawca: 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

Autorzy: Teodora Selea
Opublikowane w: Remote Sensing, Numer vol.15, issue 12, 2023, Strona(/y) 2980, ISSN 2072-4292
Wydawca: 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

Autorzy: Anastasios Temenos, Nikos Temenos, Ioannis N. Tzortzis, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis
Opublikowane w: Remote Sensing Applications: Society and Environment, Numer Volume 34, 2024, 101171, 2024, ISSN 2352-9385
Wydawca: Elsevier
DOI: 10.1016/j.rsase.2024.101171

Seismic fragility assessment of high-rise stacks in oil refineries

Autorzy: Karaferis D. Nikolaos, Kazantzi Athanasia, Melissianos E. Vasileios, Bakalis Konstantinos, & Vamvatsikos Dimitrios
Opublikowane w: Bulletin of Earthquake Engineering, Numer issue 20, 2022, Strona(/y) 6877–6900, ISSN 1573-1456
Wydawca: Springer
DOI: 10.1007/s10518-022-01472-2

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

Autorzy: Sebastian Hafner,Yifang Ban, Andrea Nascetti
Opublikowane w: Remote Sensing, Numer Vol. 15, no 21, article id 5135, 2023, ISSN 2072-4292
Wydawca: 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

Autorzy: Sebastian Hafner, Yifang Ban, Andrea Nascetti
Opublikowane w: Remote Sensing of Environment, Numer Vol 280, 113192, 2022, ISSN 1879-0704
Wydawca: Elsevier
DOI: 10.1016/j.rse.2022.113192

Rezultaty

Publikacje

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