Satellites for Wilderness Inspection and Forest Threat Tracking

Project Information

SWIFTT

Grant agreement ID: 101082732

DOI

10.3030/101082732

EC signature date 18 October 2022

Start date 1 November 2022

End date 30 April 2026

Funded under

• Digital, Industry and Space

Total cost

€ 3 680 231,26

EU contribution

€ 2 853 249,00

Coordinated by

AXA CLIMATE
France

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Other (1)

Connected web and mobile platform

Documents, reports (6)

Report on First Feedback
Report on Second Feedback
Co-learning, internal communication and project management handbook, including detailed risk analysis and risk management plan

Colearning internal communication and project management handbook including detailed risk analysis and risk management plan

Intermediary report on dissemination and communication activities
Intermediary report with back-testing results
Intermediary report with model results checked on the ground

"Intermediate report with model results checked on the ground. New deadline requested: M38 (PLEASE NOTE WE CANNOT INPUT THIS MONTH IN THE ""DUE DATE"" FIELD OF THE ""DELIVERABLE DETAILS"", BUT THIS IS THE DEADLINE WE ENVISION WITH AN EXTENSION)"

Demonstrators, pilots, prototypes (1)

European-wide high fidelity forest cover maps

Europeanwide high fidelity forest cover maps

Publications

Conference proceedings (8)

Machine learning models and technology for classification of forest on satellite data

Author(s): Yevhenii Salii, Volodymyr Kuzin, Anton Hohol, Nataliia Kussul, Hanna Yailymova
Published in: ISBN 978-1-6654-6397-3
Publisher: IEEE
DOI: 10.1109/EUROCON56442.2023.10199006

Features' Selection for Forest State Classification Using Machine Learning on Satellite Data

Author(s): Yevhenii Salii; Volodymyr Kuzin; Alla Lavreniuk; Nataliia Kussul; Andrii Shelestov
Published in: ISSN 2153-7003
Publisher: IEEE
DOI: 10.1109/IGARSS53475.2024.10642681

Monitoring of Fires Caused by War in Ukraine Based on Satellite Data

Author(s): Bohdan Yailymov; Hanna Yailymova; Andrii Shelestov; Leonid Shumilo
Published in: ISBN 979-8-3503-9611-9
Publisher: IEEE
DOI: 10.1109/DESSERT61349.2023.10416520

A multimodal dataset for forest damage detection and machine learning

Author(s): Hanna Yailymova; Bohdan Yailymov; Yevhenii Salii; Volodymyr Kuzin; Nataliia Kussul; Andrii Shelestov
Published in: ISSN 2153-7003
Publisher: IEEE
DOI: 10.1109/IGARSS53475.2024.10641873

Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory

Author(s): Giuseppina Andresini, Annalisa Appice, Donato Malerba
Published in: ISBN 9798400702433
Publisher: Association for Computing Machinery
DOI: 10.1145/3605098.3635908

Potential of spectral-spatial analysis to map forest tree dieback due to bark beetle hotspots in Sentinel-2 images

Author(s): Giuseppina Andresini; Annalisa Appice; Dino Ienco; Donato Malerba; Vito Recchia
Published in: ISSN 2153-7003
Publisher: IEEE
DOI: 10.1109/IGARSS53475.2024.10641479

Semi-supervised forest type mapping in Europe on satellite data

Author(s): Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov, Hanna Yailymova
Published in: ISSN 2770-4254
Publisher: IEEE
DOI: 10.1109/IDAACS58523.2023.10348948

Current Advances on Cloud-Based Distributed Computing for Forest Monitoring

Author(s): Andrii Shelestov, Yevhenii Salii, Nataliia Hordiiko, Hanna Yailymova
Published in: ISBN 978-3-031-46880-3
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-46880-3_20

Peer reviewed articles (5)

DIAMANTE: A data-centric semantic segmentation approach to map tree dieback induced by bark beetle infestations via satellite images

Author(s): Giuseppina Andresini, Annalisa Appice, Dino Ienco & Vito Recchia
Published in: Journal of Intelligent Information Systems, ISSN 1573-7675
Publisher: Springer Nature
DOI: 10.1007/S10844-024-00877-6

Statistical methods of feature engineering for the problem of forest state classification using satellite data

Author(s): Yevhenii Salii, Alla Lavreniuk, Nataliia Kussul
Published in: System Research & Information Technologies, ISSN 1681-6048
Publisher: IASA
DOI: 10.20535/SRIT.2308-8893.2024.1.07

SILVIA: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images

Author(s): Donato Malerba, Annalisa Appice, Giuseppina Andresini
Published in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISSN 1939-1404
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSTARS.2023.3312521

Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war

Author(s): Leonid Shumilo, Sergii Skakun, Meredith L. Gore, Andrii Shelestov, Nataliia Kussul, George Hurtt, Dmytro Karabchuk, Volodymyr Yarotskiy
Published in: Commun Earth Environ, ISSN 2662-4435
Publisher: Springer Nature
DOI: 10.1038/S43247-023-01099-4

Google Earth Engine Framework for Satellite Data-Driven Wildfire Monitoring in Ukraine

Author(s): Bohdan Yailymov, Andrii Shelestov, Hanna Yailymova, Leonid Shumilo
Published in: Fire, ISSN 2571-6255
Publisher: MDPI
DOI: 10.3390/FIRE6110411

Monographic books (1)

Innovative approaches for forest monitoring using remote sensing and cloud computing

Author(s): O. Fedorov
Published in: ISBN 978-966-360-507-4
Publisher: PH “Akademperiodyka”
DOI: 10.15407/AKADEMPERIODYKA.507.172