From Copernicus Big Data to Extreme Earth Analytics

Livrables

Evaluation report on Polar use case output products

Evaluates the quality of the final products of the Polar use case

Platform software architecture - version II

This is the final deliverable for ExtremeEarth software architecture It provides the global platform design services APIs and defines the resources provisioning plan addressing thepartner needs together with the related operational scenarios Together with D12 it will include new versions ofthe Hops Data platform with support for the features defined in Task 11 including erasurecoded replication supportfor lowerresolution satellite image files in the metadata layer

Quality assurance and risk management

This deliverable presents the quality assurance and risk management plan.

User requirement analysis for the Polar use case

Delivers a report detailing the specifications of the ice mapping service and the data to be used.

Hops data platform integration guide for applications - version I

Provides design, integration and validation guidelines for developers and data scientists using the Hops data platform. Describes how to integrate applications and deep learning workflows in the Hops data platform. This deliverable will also include the new frameworks to support end-to-end deep learning workflows in Hops, with data preparation, experimentation, training, validation, and serving.

Report on dissemination and communication activities - version I

This deliverable presents the first report on dissemination and communication activities.

User requirement analysis for the Food Security use case

Delivers a report detailing the specifications of the Food Security service and the data to be used.

Dissemination material and infrastructure

Presents the dissemination material and prepares the relevant infrastructure.

Semantic catalogue design and implementation - version I

Designs and implements the semantic catalogue of the platform.

ExtremeEarth exploitation plan - version II

This deliverable presents the final version of the ExtremeEarth exploitation plan

Plan for dissemination and communication activities

This deliverable presents the plan for dissemination and communication activities

Hops data platform integration guide for applications - version II

This is the final deliverable for the Hops data platform. It provides design, integration and validation guidelines for developers and data scientists using the Hops data platform. Describes how to integrate applications and deep learning workflows in the Hops data platform. This deliverable will also include the new frameworks to support end-to-end deep learning workflows in Hops, with data preparation, experimentation, training, validation, and serving.

Platform software architecture - version I

Provides the global platform design (services, APIs), and defines the resources provisioning plan addressing the partner needs, together with the related operational scenarios. Together wtih D1.6, this deliverable will include new versions of the Hops Data platform with support for the features defined in Task 1.1, including erasure-coded replication, support for lower-resolution satellite image files in the metadata layer.

Report on dissemination and communication activities - version II

This deliverable presents the final report on dissemination and communication activities

Evaluation report on Food Security use case output products

Evaluates the quality of the final products for the Food Security use case

Data management plan

This deliverable presents the first version of the research data management plan.

Large training database

This deliverable will deliver the large training database to be used to train the deep architectures for both use cases.

Evaluation framework for linked geospatial data systems

Delivers the new version of Geographica integrated in the frameworks HOBBIT and KOBE

Software for federating big linked geospatial data sources - version II

Delivers the final version of the federation engine SemaGrow and its evaluation

Implementation and evaluation of the Polar use case - version I

Delivers the first version of the Polar use case running on the Polar TEP and DIAS.

Hops data platform support for EO data - version II

This is the final deliverable which implements the platform functionality required for the integration of WP2 and WP3 components and the development of the use cases This deliverable takes into account developer and user feedback for v1

Software for querying and extreme analytics for big linked geospatial data - version II

Delivers the final version of the distributed implementation of Strabon and its evaluation

Software for interlinking geospatial RDF data sources - version II

Delivers the final version of JedAI and its evaluation on big geospatial RDF sources

Hops data platform support for EO data - version I

Implements the platform functionality required for the integration of WP2 and WP3 components and the development of the use cases.

Semantic catalogue design and implementation - version II

This deliverable completes the implementation of the semantic catalogue of the platform

Software for querying and extreme analytics for big linked geospatial data - version I

Delivers the first version of the distributed implementation of Strabon and its evaluation.

Transforming big geospatial data into RDF and evaluation

Delivers the new version of GeoTriples implemented on top of Hops and its evaluation.

Software for interlinking geospatial RDF data sources - version I

Delivers the new version of JedAI and its evaluation on big geospatial RDF sources.

Software for federating big linked geospatial data sources - version I

Delivers the new version of the federation engine SemaGrow and its evaluation.

Publications

Deep Semi-Supervised Teacher-Student Model based on Label Propagation for Sea Ice Classification

Auteurs: Salman Khaleghian, Habib Ullah, Thomas Kræmer, Torbjørn Eltoft and Andrea Marinoni
Publié dans: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, ISSN 2151-1535
Éditeur: IEEE
DOI: 10.1109/jstars.2021.3119485

Feature-free Explainable Data Mining in SAR Images Using Latent Dirichlet Allocation

Auteurs: C. Karmakar, C. O. Dumitru, G. Schwarz and M. Datcu
Publié dans: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, ISSN 2151-1535
Éditeur: IEEE
DOI: 10.1109/jstars.2020.3039012

ExtremeEarth Meets Satellite Data From Space

Auteurs: Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris, Daniele Marinelli, Giulio Weikmann, Lorenzo Bruzzone, Salman Khaleghian, Thomas Kræmer, Torbjørn Eltoft, Andrea Marinoni, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis, George Mandilaras, Manolis Koubarakis, Antonis Troumpoukis, Stasi
Publié dans: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, ISSN 2151-1535
Éditeur: ΙΕΕΕ
DOI: 10.1109/jstars.2021.3107982

MACHINE LEARNING FOR SEA ICE MONITORING FROM SATELLITES

Auteurs: C. O. Dumitru, V. Andrei, G. Schwarz, M. Datcu
Publié dans: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numéro XLII-2/W16, 2019, Page(s) 83-89, ISSN 2194-9034
Éditeur: Copernicus Publications
DOI: 10.5194/isprs-archives-XLII-2-W16-83-2019

Domain- and Structure-Agnostic End-to-End Entity Resolution with JedAI

Auteurs: George Papadakis, Leonidas Tsekouras, Emmanouil Thanos, George Giannakopoulos, Themis Palpanas, Manolis Koubarakis
Publié dans: ACM SIGMOD Record, Numéro 48/4, 2020, Page(s) 30-36, ISSN 0163-5808
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3385658.3385664

Three-Dimensional Entity Resolution with JedAI

Auteurs: George Papadakis; George Mandilaras; Luca Gagliardelli; Giovanni Simonini; Emmanouil Thanos; George Giannakopoulos; Sonia Bergamaschi; Themis Palpanas; Manolis Koubarakis
Publié dans: Information Systems, Numéro 2, 2020, ISSN 0306-4379
Éditeur: Elsevier Science & Technology
DOI: 10.5281/zenodo.3941653

Blocking and Filtering Techniques for Entity Resolution: A Survey

Auteurs: George Papadakis; Dimitrios Skoutas; Emmanouil Thanos; Themis Palpanas
Publié dans: ACM Computing Surveys, Numéro 7, 2020, ISSN 0360-0300
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.5281/zenodo.3941563

Evaluating Geospatial RDF stores Using the Benchmark Geographica 2

Auteurs: Theofilos Ioannidis, George Garbis, Kostis Kyzirakos, Konstantina Bereta, Manolis Koubarakis
Publié dans: Journal on Data Semantics, 2021, ISSN 1861-2040
Éditeur: Springer
DOI: 10.1007/s13740-021-00118-x

TimeSen2Crop: A Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop-Type Classification

Auteurs: Giulio Weikmann, Claudia Paris and Lorenzo Bruzzone
Publié dans: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, ISSN 2151-1535
Éditeur: ΙΕΕΕ
DOI: 10.1109/jstars.2021.3073965

Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks

Auteurs: Salman Khaleghian, Habib Ullah, Thomas Kræmer, Nick Hughes, Torbjørn Eltoft and Andrea Marinoni
Publié dans: MDPI Remote Sensing, 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13091734

Handling redundant processing in OBDA query execution over relational sources

Auteurs: Dimitris Bilidas and Manolis Koubarakis
Publié dans: Journal of Web Semantics, 2021, ISSN 1570-8268
Éditeur: Elsevier BV
DOI: 10.1016/j.websem.2021.100639

Progressive, Holistic Geospatial Interlinking

Auteurs: George Papadakis, Georgios Mandilaras, Nikos Mamoulis, Manolis Koubarakis
Publié dans: 2021
Éditeur: The Web Conference 2021
DOI: 10.1145/3442381.3449850

GeoFedBench: A Benchmark for Federated GeoSPARQL Query Processors

Auteurs: Antonis Troumpoukis, Stasinos Konstantopoulos, Giannis Mouchakis, Nefeli Prokopaki Kostopoulou, Claudia Paris, Lorenzo Bruzzone, Despina-Athanasia Pantazi, and Manolis Koubarakis
Publié dans: 2020
Éditeur: ISWC

KOBE: Cloud-native Open Benchmarking Engine for Federated Query Processors

Auteurs: Charalampos Kostopoulos, Giannis Mouchakis, Nefeli Prokopaki-Kostopoulou, Antonis Troumpoukis, Angelos Charalambidis, and Stasinos Konstantopoulos
Publié dans: 2020
Éditeur: ISWC

Machine Learning-Based Paradigm for Boosting the Semantic Annotation of EO Images

Auteurs: C.O. Dumitru, G. Schwarz, C. Karmakar and M. Datcu.
Publié dans: 2021
Éditeur: IEEE International Geoscience and Remote Sensing Symposium IGARSS

AutoAblation: Automated Parallel Ablation Studies for Deep Learning

Auteurs: Sina Sheikholeslami, Moritz Meister, Tianze Wang, Amir H. Payberah, Vladimir Vlassov, Jim Dowling
Publié dans: 2021
Éditeur: The 1st Workshop on Machine Learning and Systems
DOI: 10.1145/3437984.3458834

Crop Water Availability Mapping in the Danube Basin based on Deep Learning, Hydrological and Crop Growth Modelling

Auteurs: Migdall S., Dotzler S., Gleisberg E., Appel F., Muerth M., Bach H., Weikmann G., Paris C., Marinelli D., Bruzzone L.
Publié dans: 2021
Éditeur: European Federation for Information Technology in Agriculture, Food and the Environment (EFITA 21)
DOI: 10.3390/engproc2021009042

Artificial Intelligence and Big Data Technologies for Copernicus Data: The ExtremeEarth Project

Auteurs: Manolis Koubarakis, George Stamoulis, Dimitris Bilidas, Theofilos Ioannidis, George Mandilaras, Despina-Athanasia Pantazi, George Papadakis, Vladimir Vlassov, Amir H. Payberah, Tianze Wang, Sina Sheikholeslami, Desta Haileselassie Hagos, Lorenzo Bruzzone, Claudia Paris, Giulio Weikmann, Daniele Marinelli, Torbjørn Eltoft, Andrea Marinoni, Thomas Kræmer, Salman Khaleghian, Habib Ullah, Antonis Tr
Publié dans: 2021
Éditeur: Conference on Big Data from Space (BiDS21)

KOBE: Cloud-native Open Benchmarking Engine for Federated Query Processors

Auteurs: Charalampos Kostopoulos, Giannis Mouchakis, Antonis Troumpoukis, Nefeli Prokopaki-Kostopoulou, Angelos Charalambidis and Stasinos~Konstantopoulos
Publié dans: 2021
Éditeur: Proceedings of the 18th European Semantic Web Conference (ESWC 2021)
DOI: 10.1007/978-3-030-77385-4_40

Maggy: Scalable Asynchronous Parallel Hyperparameter Search

Auteurs: Moritz Meister, Sina Sheikholeslami, Amir H. Payberah, Vladimir Vlassov and Jim Dowling
Publié dans: 2020
Éditeur: ACM
DOI: 10.1145/3426745.3431338

Physics-Aware Feature Learning of SAR Images with Deep Neural Networks: A Case Study

Auteurs: Zhongling Huang, Corneliu Octavian Dumitru and Jun Ren
Publié dans: 2021
Éditeur: IEEE International Geoscience and Remote Sensing Symposium IGARSS

An Active Learning Tool for the Generation of Earth Observation Benchmarks

Auteurs: Wei Yao, Octavian Dumitru and Mihai Datcu
Publié dans: 2021
Éditeur: IEEE International Geoscience and Remote Sensing Symposium IGARSS

Synthetic aperture radar data analysis by deep learning for automatic sea ice classification

Auteurs: Salman Khaleghian, Thomas Kræmer, Alistair Everett, Åshild Kiærbech, Nick Hughes, Torbjørn Eltoft, Andrea Marinoni
Publié dans: 2020
Éditeur: The European Conference on Synthetic Aperture Radar 2020

Water Stress Assessment in Austria Based on Deep Learning and Crop Growth Modelling

Auteurs: Silke Migdall, Sandra Dotzler, Christian Miesgang, Florian Appel, Markus Muerth, Heike Bach, Giulio Weikmann, Claudia Paris, Daniele Marinelli, Lorenzo Bruzzone
Publié dans: 2021
Éditeur: Conference on Big Data from Space (BiDS21)

Towards Distribution Transparency for Supervised ML With Oblivious Training Functions

Auteurs: Moritz Meister; Sina Sheikholeslami; Robin Andersson; Alexandru A. Ormenisan; Jim Dowling
Publié dans: Numéro 3, 2020
Éditeur: Machine Learning and Systems
DOI: 10.5281/zenodo.3941640

Knowledge Extracted from Copernicus Satellite Data

Auteurs: Dumitru Octavian; Schwarz Gottfried; Eltoft Torbjørn; Kræmer Thomas; Wagner Penelope; Hughes Nick; Arthus David; Fleming Andrew; Koubarakis Manolis; Datcu Mihai
Publié dans: Numéro 2, 2019
Éditeur: International Symposium on Digital Earth
DOI: 10.5281/zenodo.3941573

Entity Resolution: Past, Present and Yet-to-Come. From Structured to Heterogeneous, to Crowd-sourced, to Deep Learned

Auteurs: George Papadakis; Ekaterini Ioannou; Themis Palpanas
Publié dans: Numéro 1, 2020
Éditeur: International Conference on Extending Database Technology
DOI: 10.5441/002/edbt.2020.85

Implicit Provenance for Machine Learning Artifacts

Auteurs: Alexandru A. Ormenisan; Mahmoud Ismail; Seif Haridi; Jim Dowling
Publié dans: Numéro 2, 2020
Éditeur: Machine Learning and Systems
DOI: 10.5281/zenodo.3941628

From Copernicus Big Data to Extreme Earth Analytics

Auteurs: Manolis Koubarakis; Konstantina Bereta; Dimitris Bilidas; Konstantinos Giannousis; Theofilos Ioannidis; Despina-Athanasia Pantazi; George Stamoulis; Seif Haridi; Vladimir Vlassov; Lorenzo Bruzzone; Claudia Paris; Torbjørn Eltoft; Thomas Krämer; Angelos Charalabidis; Vangelis Karkaletsis; Stasinos Konstantopoulos; Jim Dowling; Theofilos Kakantousis; Mihai Datcu; Corneliu Octavian Dumitru; Florian
Publié dans: Numéro 2, 2019
Éditeur: International Conference on Extending Database Technology
DOI: 10.5441/002/edbt.2019.88

Ice Monitoring With ExtremeEarth

Auteurs: George Mandilaras; Despina-Athanasia Pantazi; Manolis Koubarakis; Nick Hughes; Alistair Everett; Ashild Kiærbech
Publié dans: Numéro 3, 2020
Éditeur: Extended Semantic Web Conference
DOI: 10.5281/zenodo.3941661

JedAI : beyond batch, blocking-based Entity Resolution

Auteurs: George Papadakis; Leonidas Tsekouras; Manos Thanos; Nikiforos Pittaras; Giovanni Simonini; Dimitrios Skoutas; Paul Isaris; George Giannakopoulos; Themis Palpanas; Manolis Koubarakis
Publié dans: Numéro 2, 2020
Éditeur: International Conference on Extending Database Technology
DOI: 10.5441/002/edbt.2020.74

Representation Learning For SAR Observations: A Generative Model Approach

Auteurs: Vlad Andrei; Octavian Dumitru; Mihai Datcu
Publié dans: Numéro 2, 2019
Éditeur: German Aerospace Center
DOI: 10.5281/zenodo.3944444

Scalable Transformation of Big Geospatial Data into Linked Data

Auteurs: George Mandilaras and Manolis Koubarakis
Publié dans: 2021
Éditeur: The 20th International Semantic Web Conference, Virtual Conference

On the optimal design of convolutional neural networks for Earth observation data analysis by maximization of information extraction

Auteurs: Andrea Marinoni, Gianni Christian Iannelli, Salman Khaleghian and Paolo Gamba
Publié dans: 2020
Éditeur: IEEE International Geoscience and Remote Sensing symposium

In‑memory parallelization of join queries over large ontological hierarchies

Auteurs: Dimitris Bilidas and Manolis Koubarakis
Publié dans: 2020
Éditeur: Distributed and Parallel Databases
DOI: 10.1007/s10619-020-07305-y

Machine Learning Techniques for Knowledge Extraction

Auteurs: C.O. Dumitru, G. Schwarz, C. Karmakar and M. Datcu
Publié dans: 2021
Éditeur: IEEE International Geoscience and Remote Sensing Symposium IGARSS

Efficient Algorithms for Monitoring Polar Areas Using Satellite Images

Auteurs: Dumitru, Corneliu & Schwarz, Gottfried & Datcu, Mihai & Hughes, Nicholas & Koubarakis, Manolis.
Publié dans: 2020
Éditeur: EC ESA EO for Polar Science Workshop

Ontop4theWeb: SPARQLing the Web On-the-fly

Auteurs: Konstantina Bereta, George Papadakis and Manolis Koubarakis
Publié dans: 2021
Éditeur: The 15th IEEE International Conference on Semantic Computing
DOI: 10.1109/icsc50631.2021.00053

Monitoring of Agricultural Areas by using Sentinel 2 Image Time Series and Deep Learning Techniques

Auteurs: Claudia Paris, Giulio Weikmann, Lorenzo Bruzzone
Publié dans: 2020
Éditeur: SPIE
DOI: 10.1117/12.2574745

Synthetic aperture radar data analysis by deep learning for automatic sea ice classification

Auteurs: Salman Khaleghian, Thomas Kræmer, Alistair Everett, Ashild Kiærbech, Nick Hughes, Torbjørn Eltoft and Andrea Marinoni
Publié dans: 2021
Éditeur: The 13th European Conference on Synthetic Aperture Radar

A Noise-Aware Deep Learning Model for Sea Ice Classification Based on Sentinel-1 Sar Imagery

Auteurs: Habib Ullah, Salman Khaleghian, Thomas Kræmer, Nick Hughes, Torbjørn Eltoft and Andrea Marinoni
Publié dans: 2021
Éditeur: IEEE International Geoscience and Remote Sensing Symposium IGARSS

The ExtremeEarth Software Architecture for Copernicus Earth Observation Data.

Auteurs: Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Andrew Fleming, Andreas Cziferszky, Markus Muerth, Florian Appel, Despina-Athanasia Pantazi, Dimitris Bilidas, George Papadakis, George Mandilaras, George Stamoulis, Manolis Koubarakis, Antonis Troumpoukis, Stasinos Konstantopoulos
Publié dans: 2021
Éditeur: Conference on Big Data from Space (BiDS21)
DOI: 10.2760/125905

An Overview of End-to-End Entity Resolution for Big Data

Auteurs: George Papadakis, Dimitrios Skoutas, Emmanouil Thanos, Themis Palpanas
Publié dans: 2020
Éditeur: CoRR, abs/1905.06167

Semantic Analysis of Satellite Image Time Series

Auteurs: Corneliu Octavian Dumitru and Mihai Datcu
Publié dans: 2022
Éditeur: WILEY

Principles of Data Science

Auteurs: C.O. Dumitru, G. Schwarz, G. Dax, V. Andrei, D. Ao, and M. Datcu
Publié dans: Active and Machine Learning for Earth Observation Image Analysis with Traditional and Innovative Approaches, 2020, Page(s) 207-231, ISBN 978-3-030-43981-1
Éditeur: Springer, Cham
DOI: 10.1007/978-3-030-43981-1

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