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EXPLAINABLE AI PIPELINES FOR BIG COPERNICUS DATA

Deliverables

Creation of training datasets, data cubes & ontologies - v2

This is an update scaleup of the v1 deliverable

DeepCube Platform - v1

Platform integration and system

Analytics and DL architectures for fire risk assessment UC-v1

Report containing a consolidate version of all DL architectures that DeepCubes pilots will implement

Analytics and DL architectures for the droughts UC- v1

Report containing a consolidate version of all DL architectures that DeepCubes pilots will implement

Project Management & Quality plan

Guidelines to ensure high quality research development and reporting along with a project time plan

DeepCube platform requirements, specs and architecture-v2

Updated version of the technical requirements deliverable based on any updates from 1st Use Case implementation and evaluation cycle

DeepCube technical components-v1

Inputs on developments adjustments finetuning of the technological components

DeepCube technical components - v2

Updates from 1st Use Case implementation and evaluation cycle This deliverable also includes user manuals and documentations for the individual components

Initial Communication and Dissemination plan

At the early stage of the proposal to update communication plan and dissemination plan identifying target audiences key messages channels tools and metrics

DeepCube platform requirements, specs and architecture-v1

Technical specifications and the architectural design of the DeepCube platform

EO and non-EO data ingestion report - v1

Information on all data ingested along with precise information on data origin

Mid-term dissemination plan

Report updates on dissemination and communication plan for the next period M18M36 including also a detailed summary of the main activities that took place during the first 18 months

Status of Liaison activities v1

Provision of tangible liaison activities with other projects

Data Management Plan v1

DMP formulation contributing in making data FAIR

Website & Material

Website up and running along with any other material will support outreach activities brochures leaflets video newsletter etc

Publications

Learning drivers of climate-induced human migrations with Gaussian processes

Author(s): Jose M. Tarraga, Maria Piles, Gustau Camps-Valls
Published in: NeurIPS 2020 Workshop on Machine Learning for the Developing World, 2020
Publisher: NeurIPS 2020 Workshop on Machine Learning for the Developing World

Sen4AgriNet: A Harmonized Multi-Country, Multi-Temporal Benchmark Dataset for Agricultural Earth Observation Machine Learning Applications

Author(s): D. Sykas, I. Papoutsis, D. Zografakis
Published in: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Issue 12 October 2021, 2021, Page(s) 5830-5833
Publisher: IEEE
DOI: 10.1109/igarss47720.2021.9553603

Deep Learning Methods for Daily Wildfire Danger Forecasting

Author(s): Ioannis Prapas, Spyros Kondylatos, Ioannis Papoutsis, Gustau Camps-Valls, Michele Ronco, Miguel-Ángel Fernández-Torres, Maria Piles Guillem, Nuno Carvalhais
Published in: Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Issue 4 November 2021, 2021
Publisher: NeurIPS

Inspecting the link between climate and human displacement with Explainable AI and Causal inference

Author(s): José María Tárraga Habas, Michele Ronco, Maria Teresa Miranda, Eva Sevillano Marco, Qiang Wang, María Piles, Jordi Muñoz, and Gustau Camps-Valls
Published in: EGU General Assembly 2022, 2022
Publisher: EGU22-11200
DOI: 10.5194/egusphere-egu22-11200

Explainable deep learning for wildfire danger estimation

Author(s): Ronco, M., Prapas, I., Kondylatos, S., Papoutsis, I., Camps-Valls, G., Fernández-Torres, M.-Á., Piles Guillem, M., and Carvalhais, N.
Published in: EGU General Assembly 2022, 2022
Publisher: EGU22-11787
DOI: 10.5194/egusphere-egu22-11787

DEEPCUBE: EXPLAINABLE AI PIPELINES FOR BIG COPERNICUS DATA

Author(s): Ioannis Papoutsis, Alkyoni Baglatzi, Souzana Touloumtzi, Markus Reichstein, Nuno Carvalhais, Fabian Gans, Gustau Camps-Valls, Maria Piles, Theofilos Kakantousis, Jim Dowling, Manolis Koubarakis, Dimitris Bilidas, Despina-Athanasia Pantazi, George Stamoulis, Christophe Demange, Leo-Gad Journel, Marco Bianchi, Chiara Gervasi, Alessio Rucci, Ioannis Tsampoulatidis, Eleni Kamateri, Tarek Habib, Alejan
Published in: Proceedings of the 2021 conference on Big Data from Space (BiDS’21), 2021
Publisher: Proceedings of the 2021 conference on Big Data from Space (BiDS’21)

Hephaestus: A large scale multitask dataset towards InSAR understanding

Author(s): N.I. Bountos, I. Papoutsis, D. Michail, A. Karavias, P. Elias, I. Parcharidis
Published in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
Publisher: IEEE
DOI: 10.48550/arxiv.2204.09435

Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs

Author(s): Claire Robin, Christian Requena-Mesa, Vitus Benson, Lazaro Alonso, Jeran Poehls, Nuno Carvalhais, Markus Reichstein
Published in: Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022, 2022
Publisher: NeurIPS 2022
DOI: 10.48550/arxiv.2210.13648

Assessing the Added Value of Sentinel-1 PolSAR Data for Crop Classification

Author(s): Maria Ioannidou; Alkiviadis Koukos; Vasileios Sitokonstantinou; Ioannis Papoutsis; Charalampos Kontoes
Published in: Remote Sensing; Volume 14; Issue 22; Pages: 5739, Issue 13 November 2022, 2022, ISSN 2072-4292
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14225739

Self-supervised Contrastive Learning for Volcanic Unrest Detection

Author(s): Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai
Published in: IEEE Geoscience and Remote Sensing Letters, Issue Volume 19, 2021, Page(s) 1-5, ISSN 1558-0571
Publisher: IEEE
DOI: 10.1109/lgrs.2021.3104506

A Sentinel-2 Multiyear, Multicountry Benchmark Dataset for Crop Classification and Segmentation With Deep Learning

Author(s): Dimitrios Sykas; Maria Sdraka; Dimitrios Zografakis; Ioannis Papoutsis
Published in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Issue Volume 15, 2022, ISSN 2151-1535
Publisher: IEEE
DOI: 10.1109/jstars.2022.3164771

Wildfire Danger Prediction and Understanding With Deep Learning

Author(s): S. Kondylatos, I. Prapas, M. Ronco, I. Papoutsis, G. Camps-Valls, M. Piles, M. Fernández-Torres, N. Carvalhais
Published in: Geophysical Research Letters, Issue Volume 49, Issue17, 2022, ISSN 1944-8007
Publisher: American Geophysical Union
DOI: 10.1029/2022gl099368

Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest Detection

Author(s): Nikolaos Ioannis Bountos; Dimitrios Michail; Ioannis Papoutsis
Published in: IEEE Transactions on Geoscience and Remote Sensing (Volume 60), Issue 08 June 2022, 2022, ISSN 1558-0644
Publisher: IEEE
DOI: 10.1109/tgrs.2022.3180891

Benchmarking and scaling of deep learning models for land cover image classification

Author(s): Ioannis Papoutsis, Nikolaos Ioannis Bountos, Angelos Zavras, Dimitrios Michail, Christos Tryfonopoulos
Published in: ISPRS Journal of Photogrammetry and Remote Sensing, Issue Volume 195, January 2023, 2023, ISSN 1872-8235
Publisher: Elsevier
DOI: 10.1016/j.isprsjprs.2022.11.012

Assessing the Added Value of Sentinel-1 PolSAR Data for Crop Classification

Author(s): Maria Ioannidou; Alkiviadis Koukos; Vasileios Sitokonstantinou; Ioannis Papoutsis; Charalampos Kontoes
Published in: Remote Sensing; Volume 14; Issue 22; Pages: 5739, Issue 13 November 2022, 2022, ISSN 2072-4292
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14225739

Learning class prototypes from Synthetic InSAR with Vision Transformers

Author(s): Nikolaos Ioannis Bountos, Dimitrios Michail, Ioannis Papoutsis
Published in: 2022
Publisher: arXiv
DOI: 10.48550/arxiv.2201.03016

Efficient deep learning models for land cover image classification

Author(s): Ioannis Papoutsis, Nikolaos-Ioannis Bountos, Angelos Zavras, Dimitrios Michail, Christos Tryfonopoulos
Published in: 2021
Publisher: arXiv

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