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CORDIS - Résultats de la recherche de l’UE
CORDIS

EOPEN: opEn interOperable Platform for unified access and analysis of Earth observatioN data

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

EOPEN System Requirements and Architecture (s’ouvre dans une nouvelle fenêtre)

D6.1 [Lead: SPACEAPPS; due M12; contribution: MS2] EOPEN System Requirements and Architecture will contain the technical specifications and the architectural design of the EOPEN Big Data platform.

Mid-term dissemination plan (s’ouvre dans une nouvelle fenêtre)

D8.4 [Lead: NOA; due M18; contribution: MS3] Mid-term dissemination plan: Updated dissemination plan, summarising the main activities on dissemination and communication of the past period and describing the communication and the future dissemination activities.

Joint Decision & Information Governance (JDIG) Architecture (s’ouvre dans une nouvelle fenêtre)

D2.5 [Lead: SERCO; due M36; contribution: MS5] Joint Decision & Information Governance (JDIG) Architecture: Final project report on the finished JDIG architecture, the results, outcomes and conclusions.

Data Warehouse – EOPEN Datasets V1 (s’ouvre dans une nouvelle fenêtre)

D1.5 [Lead: SERCO] Data Warehouse – EOPEN Datasets V1. This deliverable reports the project planning on the requested EO datasets.

User requirements (s’ouvre dans une nouvelle fenêtre)

D2.2 [Lead: AAWA; due M6; contribution: MS1] User requirements: D2.2 reports the identified end user needs for the respective user requirements.

User Training Framework (s’ouvre dans une nouvelle fenêtre)

D7.3 [Lead: AAWA; due M35; contribution: MS5] User Training Framework: This deliverable is composed of EOPEN’s training offer and it will include several types of materials and manuals such as on-line application (i.e. videos, simple user guide), accessible by the web site of the project, in order to provide the partners and the targeted users/stakeholders with different degrees of information according to their needs.

Data Warehouse – EOPEN Datasets V2 (s’ouvre dans une nouvelle fenêtre)

D1.6 [Lead: SERCO] Data Warehouse – EOPEN Datasets V2. This deliverable reports the second version of EOPEN's planning on the requested EO datasets.

Change detection techniques in Earth Observation (s’ouvre dans une nouvelle fenêtre)

D4.1 [Lead: CERTH; due M16; contribution: MS3] Change detection techniques in Earth Observation: D4.1 reports the methodology and the research outputs in change detection techniques that are employed in EOPEN. The techniques are adapted to and examined in each use case scenario of EOPEN, aiming to present a complete analysis of the most suitable change detection techniques in the monitoring of floods, climate changes and food security, from Earth Observation imagery.

Use case design report (s’ouvre dans une nouvelle fenêtre)

D2.1 [Lead: FMI; due M3; contribution: MS1] Use case design report: A comprehensive document illustrating in a verbose as well as formal (UML) way the different use cases foreseen by the project and the relevant user/data/system requirements.

Final dissemination and collaboration report (s’ouvre dans une nouvelle fenêtre)

D8.7 [Lead: NOA; due M36; contribution: MS5] Final dissemination and collaboration report presents the dissemination and collaboration activities until the end of the project.

Initial Communication and Dissemination plan (s’ouvre dans une nouvelle fenêtre)

D8.1 [Lead: NOA; due M3; contribution: MS1] Initial Communication and Dissemination plan: Campaign based communication and dissemination plan, identifying target audiences, key messages, channels, tools and metrics.

Multimodal fusion for information retrieval (s’ouvre dans une nouvelle fenêtre)

D4.3 [Lead: CERTH; due M31; contribution: MS5] Multimodal fusion for information retrieval: The fusion of EO and non-EO data is presented in D4.3, along with their performance in EOPEN. These techniques will support the advanced search capabilities of EOPEN, towards a user-friendly access to EO data via the EOPEN search engine.

Target operating decision-making model (TOM) (s’ouvre dans une nouvelle fenêtre)

D2.4 [Lead: SERCO; due M35; contribution: MS5] Target operating decision-making model (TOM): A report detailing how each use case COM has translated into a high level TOM, then the Delta mapping between COM and TOM creating the detailed TOM. This is a living document across project the life, reviewed at each pilot reviewed and updated pre/post each pilot.

Data acquisition report from the Collaborative Ground Segment (s’ouvre dans une nouvelle fenêtre)

D3.1 [Lead: NOA; due M18; contribution: MS3] Data acquisition report from the Collaborative Ground Segment: This document will contain information on how the data provided by the Hellenic CollGS can be obtained and processed, together with a precise information on data origin and processing steps

EOPEN Social Media Crawlers (s’ouvre dans une nouvelle fenêtre)

D3.3 [Lead: CERTH; due M32; contribution: MS5] EOPEN Social Media Crawlers: A report describing the social media and web crawling tools, their operation and their outputs. This deliverable also describes the advances in EO and meteorological data acquisition that have not been reported in D3.1 and D3.2.

The EOPEN ontology and semantic reasoning support (s’ouvre dans une nouvelle fenêtre)

D5.1 [Lead: CERTH; due M19; contribution: MS4] The EOPEN ontology and semantic reasoning support: The requirements for the population of the EOPEN ontology and an initial version of the semantic reasoning techniques are described in D5.1, along with a roadmap to the linking of open EO and non-EO data.

Meteorological and climatological data acquisition report (s’ouvre dans une nouvelle fenêtre)

D3.2 [Lead: FMI; due M26; contribution: MS4] Meteorological and climatological data acquisition report: This document presents the state-of-the-art methodology in collecting meteorological and climatological data and the techniques, as approached in EOPEN.

Linked open EO data (s’ouvre dans une nouvelle fenêtre)

D5.3 [Lead: SPACEAPPS; due M33; contribution: MS5] Linked open EO data will describe the mapping between the metadata of the EO products required by the use cases and their Linked Data compliant representation. The corresponding R2RML mapping definitions will be provided in annex.

Semantic reasoning for decision making (s’ouvre dans une nouvelle fenêtre)

D5.2 [Lead: CERTH; due M33; contribution: MS5] Semantic reasoning for decision making: D5.2 is the final report on the populated EOPEN ontology, the associated linked open data and the semantic reasoning techniques that support the decision making process of EOPEN and the generated notifications for the end user.

Pilots implementation and 1st prototype evaluation report (s’ouvre dans une nouvelle fenêtre)

D7.1 [Lead: NOA; due M20; contribution: MS3] Pilots implementation and 1st prototype evaluation report presents the evaluation report of the 1st prototype

Evaluation of the final system and field demonstrations (s’ouvre dans une nouvelle fenêtre)

D7.4 [Lead: AAWA; due M36; contribution: MS5] Evaluation of the final system and field demonstrations: A report illustrating how to deploy and validate the technologies for each pilot, together with a set of recommendations emerging from the pilot demonstration. This deliverable includes also the final demonstrations that will showcase the EOPEN functionalities.

Change, event and community detection techniques (s’ouvre dans une nouvelle fenêtre)

D4.4 [Lead: CERTH; due M33; contribution: MS5] Change, event and community detection techniques: D4.2 describes the concept extraction and event detection techniques from non-EO data, Social Media and Web information, that are used to support decision making in EOPEN. In addition, this document reports the community detection techniques and the methods to identify and visualise user accounts that act as key-players. The final results of the change detection techniques are also reported in D4.4.

Report on data clustering of EO and non-EO data (s’ouvre dans une nouvelle fenêtre)

D4.2 [Lead: USTUTT; due M25; contribution: MS4] Report on data clustering of EO and non-EO data: The state-of-the-art data clustering techniques in EO and non-EO data are presented in D4.4, along with the methods and tools that have been developed for the purposes of EOPEN.

Pilots implementation and 2nd prototype evaluation report (s’ouvre dans une nouvelle fenêtre)

D7.2 [Lead: NOA; due M28; contribution: MS4] Pilots implementation and 2nd prototype evaluation report presents the evaluation report of the 2nd prototype.

EOPEN website and promotional material (s’ouvre dans une nouvelle fenêtre)

D8.2 [Lead: CERTH; due M3; contribution: MS1] EOPEN website and promotional material is described in D8.2.

Data Management Plan (s’ouvre dans une nouvelle fenêtre)

D1.4 [Lead: SERCO; due M6; contribution: MS1] reports the Data Management Plan of EOPEN.

Publications

Semantically enriched crop type classification and Linked Earth Observation Data to support the Common Agricultural Policy monitoring (s’ouvre dans une nouvelle fenêtre)

Auteurs: Rousi, Maria; Sitokonstantinou, Vasileios; Meditskos, Georgios; Papoutsis, Ioannis; Gialampoukidis, Ilias; Koukos, Alkiviadis; Karathanassi, Vassilia; Drivas, Thanassis; Vrochidis, Stefanos; Kontoes, Charalampos; Kompatsiaris, Ioannis
Publié dans: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Numéro 4, 2020, ISSN 1939-1404
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSTARS.2020.3038152

Deep Learning Applications on Multitemporal SAR (Sentinel-1) Image Classification Using Confined Labeled Data: The Case of Detecting Rice Paddy in South Korea (s’ouvre dans une nouvelle fenêtre)

Auteurs: Hyun-Woo Jo, Sujong Lee, Eunbeen Park, Chul-Hee Lim, Cholho Song, Halim Lee, Youngjin Ko, Sungeun Cha, Hoonjoo Yoon, Woo-Kyun Lee
Publié dans: IEEE Transactions on Geoscience and Remote Sensing, Numéro 58/11, 2020, Page(s) 7589-7601, ISSN 0196-2892
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2020.2981671

Multimodal Fusion of Sentinel 1 Images and Social Media Data for Snow Depth Estimation (s’ouvre dans une nouvelle fenêtre)

Auteurs: Damianos Florin Mantsis, Marios Bakratsas, Stelios Andreadis, Petteri Karsisto, Anastasia Moumtzidou, Ilias Gialampoukidis, Ari Karppinen, Stefanos Vrochidis, Ioannis Kompatsiaris
Publié dans: IEEE Geoscience and Remote Sensing Letters, 2020, Page(s) 1-5, ISSN 1545-598X
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lgrs.2020.3031866

Early_and_Late_Fusion_of_Multiple_Modalities_in_Sentinel_Image_Retrieval (s’ouvre dans une nouvelle fenêtre)

Auteurs: Wei Yao; Anastasia Moumtzidou; Corneliu Octavian Dumitru; Stelios Andreadis; Ilias Gialampoukidis; Stefanos Vrochidis; Mihai Datcu; Ioannis Kompatsiaris
Publié dans: 25th International Conference on Pattern Recognition (ICPR2020), Numéro 3, 2021
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.5281/zenodo.4280739

Flood detection with Sentinel-2 satellite images in crisis management systems (s’ouvre dans une nouvelle fenêtre)

Auteurs: Anastasia Moumtzidou, Marios Bakratsas, Stelios Andreadis, Anastasios Karakostas, Ilias Gialampoukidis, Stefanos Vrochidis, and Ioannis Kompatsiaris
Publié dans: 17th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2020), 2020
Éditeur: ISCRAM Digital Library
DOI: 10.5281/zenodo.3702303

A multimodal tensor-based late fusion approach for satellite image search in Sentinel 2 images (s’ouvre dans une nouvelle fenêtre)

Auteurs: Ilias Gialampoukidis; Anastasia Moumtzidou; Marios Bakratsas; Stefanos Vrochidis; Ioannis Kompatsiaris
Publié dans: 27th International Conference on Multimedia Modeling (MMM 2021), Numéro 2, 2021
Éditeur: Springer
DOI: 10.5281/zenodo.4293265

A Deep Neural Network for Oil Spill Semantic Segmentation in Sar Images (s’ouvre dans une nouvelle fenêtre)

Auteurs: Georgios Orfanidis, Konstantinos Ioannidis, Konstantinos Avgerinakis, Stefanos Vrochidis, Ioannis Kompatsiaris
Publié dans: 2018 25th IEEE International Conference on Image Processing (ICIP), 2018, Page(s) 3773-3777, ISBN 978-1-4799-7061-2
Éditeur: IEEE
DOI: 10.1109/ICIP.2018.8451113

Flood Relevance Estimation from Visual and Textual Content in Social Media Streams (s’ouvre dans une nouvelle fenêtre)

Auteurs: Anastasia Moumtzidou, Stelios Andreadis, Ilias Gialampoukidis, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris
Publié dans: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Page(s) 1621-1627, ISBN 9781-450356404
Éditeur: ACM Press
DOI: 10.1145/3184558.3191620

Social media observations for flood event monitoring in Italy over a one-year period (s’ouvre dans une nouvelle fenêtre)

Auteurs: Stelios Andreadis, Ilias Gialampoukidis, Roberto Fiorin, Francesca Lombardo, Anastasios Karakostas, Michele Ferri, Stefanos Vrochidis, Ioannis Kompatsiaris
Publié dans: 2nd International Conference Citizen Observatories for natural hazards and Water Management (COWM 2018), 2018
Éditeur: COWM
DOI: 10.5281/zenodo.2546519

A multimodal approach in estimating road passability through a flooded area using social media and satellite images (s’ouvre dans une nouvelle fenêtre)

Auteurs: Anastasia Moumtzidou, Panagiotis Giannakeris, Stelios Andreadis, Athanasios Mavropoulos, Georgios Meditskos, Ilias Gialampoukidis, Konstantinos Avgerinakis, Stefanos Vrochidis, Ioannis Kompatsiaris
Publié dans: MediaEval 2018 Workshop, 2018
Éditeur: CEUR
DOI: 10.5281/zenodo.2540398

People and Vehicles in Danger - A Fire and Flood Detection System in Social Media (s’ouvre dans une nouvelle fenêtre)

Auteurs: Panagiotis Giannakeris, Konstantinos Avgerinakis, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris
Publié dans: 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2018, Page(s) 1-5, ISBN 978-1-5386-0951-4
Éditeur: IEEE
DOI: 10.1109/ivmspw.2018.8448732

Road passability estimation using deep neural networks and satellite image patches (s’ouvre dans une nouvelle fenêtre)

Auteurs: Moumtzidou Anastasia, Bakratsas Marios, Andreadis Stelios, Gialampoukidis Ilias, Vrochidis Stefanos, Kompatsiaris Ioannis
Publié dans: Conference On Big Data From Space (BiDS'19), 2019
Éditeur: EU Publications
DOI: 10.5281/zenodo.2450333

Earth observation and social multimedia data fusion for natural hazards and water management: the H2020 EOPEN project paradigm (s’ouvre dans une nouvelle fenêtre)

Auteurs: Ilias Gialampoukidis, Anastasia Moumtzidou, Gabriella Scarpino, Giovanna Palumbo, Stefanos Vrochidis, Ioannis Kompatsiaris, Francesco Zaffanella, Daniele Norbiato, Michele Ferri, Guido Vingione
Publié dans: 2nd International Conference Citizen Observatories for natural hazards and Water Management (COWM), 2018
Éditeur: COWM
DOI: 10.5281/zenodo.2545381

EOPEN: Open interoperable platform for unified access and analysis of earth observation data (s’ouvre dans une nouvelle fenêtre)

Auteurs: Guido Vingione, Gabriella Scarpino, Laurence Marzell, Tudor Pettengell, Ilias Gialampoukidis, Stelios Andreadis, Stefanos Vrochidis, Ioannis Kompatsiaris, Bernard Valentin, Leslie Gale, Woo-Kyun Lee, Wona Lee, Michael Gienger, Dennis Hoppe, Vasileios Sitokonstantinou, Ioannis Papoutsis, Charalampos Kontoes, Francesco Baruff, Michele Ferri, Hoonjoo Yoon, Ari Karppinen, Ari-Matti Harri
Publié dans: Conference On Big Data From Space (BiDS'19), 2019
Éditeur: EU Publications
DOI: 10.5281/zenodo.2539266

A Deep Neural Network Slope Reduction Model on Sentinel-1 Images for Water Mask Extraction (s’ouvre dans une nouvelle fenêtre)

Auteurs: Mpakratsas, Marios; Moumtzidou, Anastasia; Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis
Publié dans: 40th Asian Conference on Remote Sensing (ACRS 2019), 2019
Éditeur: -
DOI: 10.5281/zenodo.3662143

Scalable Distributed Random Forest Classification for Paddy Rice Mapping (s’ouvre dans une nouvelle fenêtre)

Auteurs: Sitokonstantinou, Vasileios; Drivas, Thanassis; Koukos, Alkiviadis; Papoutsis, Ioannis; Kontoes, Charalampos
Publié dans: 40th Asian Conference on Remote Sensing (ACRS 2019), 2019
Éditeur: -
DOI: 10.5281/zenodo.3662151

H2020 EOPEN Easing Copernicus Data & Services Exploitation (s’ouvre dans une nouvelle fenêtre)

Auteurs: Leslie Gale; Bernard Valentin; Hakim Boulahya; Guido Vingione; Gabriella Scarpino; Laurence Marzell; Tudor Pettengell; Ilias Gialampoukidis; Stelios Andreadis; Stefanos Vrochidis; Ioannis Kompatsiaris; Dennis Hoppe; Li Zhong; Michele Ferri; Daniele Norbiato; Francesco Zaffanella; Ari Karppinen; Jani Tyynela; Petteri Karsisto; Charalampos Kontoes; Ioannis Papoutsis; Vasileios Sitokonstantinou; Than
Publié dans: 2019
Éditeur: -
DOI: 10.5281/zenodo.3662241

Multimedia Analysis Techniques for Flood Detection Using Images, Articles and Satellite Imagery (s’ouvre dans une nouvelle fenêtre)

Auteurs: Stelios Andreadis, Marios Bakratsas, Panagiotis Giannakeris, Anastasia Moumtzidou, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris
Publié dans: MediaEval 2019 Workshop, 2019
Éditeur: CEUR
DOI: 10.5281/zenodo.4282228

A flood monitoring tool for urban areas using satellite, weather and social data (s’ouvre dans une nouvelle fenêtre)

Auteurs: Stelios Andreadis, Anastasia Moumtzidou, IIias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris
Publié dans: US-Serbia and West Balkan Data Science Workshop (NFS-Serbia), 2018
Éditeur: NFS-Serbia
DOI: 10.5281/zenodo.2542532

A Transferable Sentinel-based Agriculture Monitoring Scheme (s’ouvre dans une nouvelle fenêtre)

Auteurs: Vasileios Sitokonstantinou, Ioannis Papoutsis, Charalampos Kontoes
Publié dans: 38th Annual EARSeL Symposium - Earth Observation Supporting Sustainability Research, 2018
Éditeur: EARSeL
DOI: 10.5281/zenodo.2549254

Testing a flood mask correction method of optical satellite imagery over irrigated agricultural areas (s’ouvre dans une nouvelle fenêtre)

Auteurs: Emmanouil Michail; Anastasia Moumtzidou; Ilias Gialampoukidis; Konstantinos Avgerinakis; Maria Gabriella Scarpino; Stefanos Vrochidis; Guido Vingione; Ioannis Kompatsiaris; Kamal Labbassi; Massimo Menenti; Fatima-ezzahra Elghandour
Publié dans: 2nd Mapping Water Bodies from Space Conference (MWBS2018), 2018
Éditeur: MWBS2018
DOI: 10.5281/zenodo.2546622

The H2020-EO EOPEN project (s’ouvre dans une nouvelle fenêtre)

Auteurs: Guido Vingione, Laurence Marzell, Enrico Cadau, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris, Bernard Valentin, Matthieu Melcot, Leslie Gale, Woo-Kyun Lee, Seong-Woo Jeon, Wona Lee, Michael Gienger, Dennis Hoppe, Charalampos Kontoes, Ioannis Papoutsis, Michele Ferri, Francesco Baruffi, Jaeyoung Yoon, Hoonjoo Yoon, Ari Karppinen, Ari-Matti Harri
Publié dans: Conference on Big Data from Space (BiDS'17), 2017
Éditeur: BiDS
DOI: 10.5281/zenodo.2549314

The H2020-EO EOPEN project (s’ouvre dans une nouvelle fenêtre)

Auteurs: Guido Vingione, Laurence Marzell, Enrico Cadau, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris, Bernard Valentin, Matthieu Melcot, Leslie Gale, Woo-Kyun Lee, Seong-Woo Jeon, Wona Lee, Michael Gienger, Dennis Hoppe, Charalampos Kontoes, Ioannis Papoutsis, Michele Ferri, Francesco Baruffi, Jaeyoung Yoon, Hoonjoo Yoon, Ari Karppinen, Ari-Matti Harri
Publié dans: INSPIRE conference 2018, 2018
Éditeur: INSPIRE
DOI: 10.5281/zenodo.2546540

Early Identification of Oil Spills in Satellite Images Using Deep CNNs (s’ouvre dans une nouvelle fenêtre)

Auteurs: Marios Krestenitis, Georgios Orfanidis, Konstantinos Ioannidis, Konstantinos Avgerinakis, Stefanos Vrochidis, Ioannis Kompatsiaris
Publié dans: MultiMedia Modeling - 25th International Conference, MMM 2019, Thessaloniki, Greece, January 8–11, 2019, Proceedings, Part I, Numéro 11295, 2019, Page(s) 424-435, ISBN 978-3-030-05709-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-05710-7_35

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