Satellites for Wilderness Inspection and Forest Threat Tracking

Información del proyecto

SWIFTT

Identificador del acuerdo de subvención: 101082732

DOI

10.3030/101082732

Proyecto cerrado

Fecha de la firma de la CE 18 Octubre 2022

Fecha de inicio 1 Noviembre 2022

Fecha de finalización 30 Abril 2026

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 3 680 231,26

Aportación de la UE

€ 2 853 249,00

Coordinado por

AXA CLIMATE
France

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Other (1)

Connected web and mobile platform

Documents, reports (7)

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
Final report on synergies and collaboration

"Final report on synergies and collaborationPLEASE NOTE WE CANNOT INPUT MONTH 41 IN THE ""DUE DATE"" FIELD OF ""DELIVERABLE DETAILS"", BUT THIS IS THE END MONTH WE ENVISION WITH AN EXTENSION"

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

Publicaciones

Conference proceedings (15)

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

Autores: Yevhenii Salii, Volodymyr Kuzin, Anton Hohol, Nataliia Kussul, Hanna Yailymova
Publicado en: ISBN 978-1-6654-6397-3
Editor: IEEE
DOI: 10.1109/EUROCON56442.2023.10199006

Deep Change Vector Analysis to Map Bark Beetle Outbreaks in Open Sentinel-2 Data

Autores: Giuseppina Andresini; Annalisa Appice; Donato Malerba; Vito Recchia
Publicado en: 2025 International Joint Conference on Neural Networks (IJCNN), 2025, ISSN 2161-4407
Editor: IEEE
DOI: 10.1109/IJCNN64981.2025.11229013

An Attention-Based CNN Approach to Detect Forest Tree Dieback Caused by Insect Outbreak in Sentinel-2 Images

Autores: Vito Recchia; Giuseppina Andresini; Annalisa Appice; Gianpietro Fontana; Donato Malerba
Publicado en: Lecture Notes in Computer Science, 2025
Editor: Springer Nature
DOI: 10.1007/978-3-031-78980-9_12

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

Autores: Yevhenii Salii; Volodymyr Kuzin; Alla Lavreniuk; Nataliia Kussul; Andrii Shelestov
Publicado en: ISSN 2153-7003
Editor: IEEE
DOI: 10.1109/IGARSS53475.2024.10642681

Satellite-Based Analysis of Forest Damage in Ukraine’s Protected Areas

Autores: S. Drozd, N. Kussul and A. Shelestov
Publicado en: 2026
Editor: IEEE
DOI: 10.1109/IDAACS68557.2025.11322406

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

Autores: Bohdan Yailymov; Hanna Yailymova; Andrii Shelestov; Leonid Shumilo
Publicado en: ISBN 979-8-3503-9611-9
Editor: IEEE
DOI: 10.1109/DESSERT61349.2023.10416520

Semi-Supervised European Forest Types Mapping using High-Fidelity Satellite Data.

Autores: Yailymov, Bohdan; Yailymova, Hanna; Kussul, Nataliia; Shelestov, Andrii
Publicado en: 2024

A multimodal dataset for forest damage detection and machine learning

Autores: Hanna Yailymova; Bohdan Yailymov; Yevhenii Salii; Volodymyr Kuzin; Nataliia Kussul; Andrii Shelestov
Publicado en: ISSN 2153-7003
Editor: IEEE
DOI: 10.1109/IGARSS53475.2024.10641873

Machine Learning for Ukraine's Forest Cover Damage Assessment based on Satellite Data

Autores: H. Yailymova, B. Yailymov, A. Shelestov and N. Kussul
Editor: IEEE
DOI: 10.1109/IDAACS68557.2025.11322046

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

Autores: Giuseppina Andresini, Annalisa Appice, Donato Malerba
Publicado en: ISBN 9798400702433
Editor: 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

Autores: Giuseppina Andresini; Annalisa Appice; Dino Ienco; Donato Malerba; Vito Recchia
Publicado en: ISSN 2153-7003
Editor: IEEE
DOI: 10.1109/IGARSS53475.2024.10641479

A Novel Approach for Rapid Detection of Forest Degradation and Diseases Through Anomaly Analysis of Sentinel-2 Spectral Data

Autores: S. Drozd, N. Kussul, H. Yailymova
Publicado en: 2025
Editor: Hochschule Anhalt
DOI: 10.25673/119219

GANDALF: A LLM-based approach to map bark beetle outbreaks in semantic stories of Sentinel-2 images

Autores: Vincenzo Pasquadibisceglie; Vito Recchia; Annalisa Appice; Donato Malerba; Giuseppe Fiameni
Publicado en: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025
Editor: ACM
DOI: 10.1145/3672608.3707751

Semi-supervised forest type mapping in Europe on satellite data

Autores: Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov, Hanna Yailymova
Publicado en: ISSN 2770-4254
Editor: IEEE
DOI: 10.1109/IDAACS58523.2023.10348948

Current Advances on Cloud-Based Distributed Computing for Forest Monitoring

Autores: Andrii Shelestov, Yevhenii Salii, Nataliia Hordiiko, Hanna Yailymova
Publicado en: ISBN 978-3-031-46880-3
Editor: Springer, Cham
DOI: 10.1007/978-3-031-46880-3_20

Peer reviewed articles (10)

A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data

Autores: Giuseppina Andresini; Annalisa Appice; Donato Malerba
Publicado en: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Edición 17, 2024, ISSN 2151-1535
Editor: IEEE
DOI: 10.1109/JSTARS.2024.3460981

ULISSE: Parameter-Efficient Adaptation of Earth Vision Models to Monitor Forest Disturbance in Sentinel-2 Timeseries

Autores: V. Recchia, G. Andresini, A. Appice, D. Ienco, G. Fiameni, D. Malerba
Publicado en: Ecological Informatics, Edición 94, 2026, ISSN 1878-0512
Editor: Elsevier
DOI: 10.1016/J.ECOINF.2026.103668

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

Autores: Giuseppina Andresini, Annalisa Appice, Dino Ienco & Vito Recchia
Publicado en: Journal of Intelligent Information Systems, ISSN 1573-7675
Editor: Springer Nature
DOI: 10.1007/S10844-024-00877-6

Satellite information technologies for the creation of the Ukrainian segment of the international GEOSS system

Autores: O. Fedorov, N. Kussul, A. Shelestov, L. Kolos, L. Pidgorodetska, B. Yailymov, H. Yailymova, V. Prysiazhnyi, V. Moroz
Publicado en: Space Science and Technology, Edición 3, 2025, ISSN 2518-1459
Editor: KHIT
DOI: 10.15407/KNIT2025.03.042

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

Autores: Yevhenii Salii, Alla Lavreniuk, Nataliia Kussul
Publicado en: System Research & Information Technologies, ISSN 1681-6048
Editor: IASA
DOI: 10.20535/SRIT.2308-8893.2024.1.07

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

Autores: Donato Malerba, Annalisa Appice, Giuseppina Andresini
Publicado en: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISSN 1939-1404
Editor: 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

Autores: Leonid Shumilo, Sergii Skakun, Meredith L. Gore, Andrii Shelestov, Nataliia Kussul, George Hurtt, Dmytro Karabchuk, Volodymyr Yarotskiy
Publicado en: Commun Earth Environ, ISSN 2662-4435
Editor: Springer Nature
DOI: 10.1038/S43247-023-01099-4

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

Autores: Bohdan Yailymov, Andrii Shelestov, Hanna Yailymova, Leonid Shumilo
Publicado en: Fire, ISSN 2571-6255
Editor: MDPI
DOI: 10.3390/FIRE6110411

AI-Powered Digital Twin Framework for Land Use Change in Disaster Affected Regions

Autores: Nataliia Kussul, Gregory Giuliani, Andrii Shelestov, Anton Cherniatevych, Sofiia Drozd, Andrii Kolotii, Yevhenii Salii, Oleksandr Yavorskyi, Volodymyr Malyniak, Alla Lavreniuk, Charlotte Poussin
Publicado en: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Edición 18, 2025, ISSN 1939-1404
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JSTARS.2025.3623870

Forest Stress Detection Using Feature Engineering & Selection Approach Optimized for Satellite Imagery

Autores: Yevhenii Salii; Volodymyr Kuzin; Nataliia Kussul; Alla Lavreniuk
Publicado en: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Edición 19, 2025, ISSN 2151-1535
Editor: IEEE
DOI: 10.1109/JSTARS.2025.3644488

Monographic books (1)

Innovative approaches for forest monitoring using remote sensing and cloud computing

Autores: O. Fedorov
Publicado en: ISBN 978-966-360-507-4
Editor: PH “Akademperiodyka”
DOI: 10.15407/AKADEMPERIODYKA.507.172