Copernicus Applications for Next-Generation Forest Monitoring

Información del proyecto

FUTUREFOR

Identificador del acuerdo de subvención: 101180278

DOI

10.3030/101180278

Fecha de la firma de la CE 14 Octubre 2024

Fecha de inicio 1 Noviembre 2024

Fecha de finalización 30 Abril 2027

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 1 631 875,00

Aportación de la UE

€ 1 631 875,00

Coordinado por

RISCOGNITION GMBH
Germany

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

Documents, reports (8)

Dissemination& Communication Report

Report about the actual D & C activities during the project

User requirements

User Requirements assessments report

Specifications and Use Cases

Documentation of service specifications and use cases

Dissemination& Communication Plan update 1

Updated plan highlighting the planned D & C activities

Privacy, ethics and security

Privacy, ethics and security requirements report

Stakeholder and UR Report

Stakeholder and legislation analysis

Dissemination& Communication Plan

Plan highlighting the planned D & C activities

Privacy, ethics and security update

Privacy, ethics and security requirements report update

Publicaciones

Book chapters (1)

Digital Twins for Land Use Change

Autores: Nataliia Kussul, Gregory Giuliani, Andrii Shelestov, Sofiia Drozd, Andrii Kolotii, Yevhenii Salii, Anton Cherniatevych, Oleksandr Yavorskyi, Volodymyr Malyniak, Charlotte Poussin
Publicado en: Studies in Systems, Decision and Control, System Analysis and Data Mining, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-97529-5_22

Conference proceedings (6)

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

Autores: Hanna Yailymova, Bohdan Yailymov, Andrii Shelestov, Nataliia Kussul
Publicado en: 2025 IEEE 13th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2026, ISSN 2770-4254
Editor: IEEE
DOI: 10.1109/IDAACS68557.2025.11322046

LLM-driven multi-agent cognitive user interface for land cover change digital twin system

Autores: Anton Chernyatevich, Sofiia Drozd, Nataliia Kussul, Andrii Shelestov, Gregory Giuliani, Charlotte Poussin
Publicado en: The International Geoscience and Remote Sensing Symposium (IGARSS), 2026
Editor: IEEE

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

Autores: Sofiia Drozd, Nataliia Kussul and Hanna Yailymova
Publicado en: 13th International Conference on Appliedon Applied Innovations in IT (ICAIIT), 2025, ISSN 2199-8876
Editor: Anhalt University of Applied Sciences
DOI: 10.25673/119219

High-Resolution Tree Cover Density Mapping of Ukraine Using GEDI Lidar and Sentinel Imagery

Autores: Bohdan Yailymov, Hanna Yailymova, Nataliia Kussul
Publicado en: The International Geoscience and Remote Sensing Symposium (IGARSS), 2026
Editor: IEEE

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

Autores: Sofiia Drozd, Nataliia Kussul, Andrii Shelestov
Publicado en: 2025 IEEE 13th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2026
Editor: IEEE
DOI: 10.1109/IDAACS68557.2025.11322406

A Cloud-Based Workflow for Crop Type Classification Using Copernicus Sentinel-1/2 Data and Ensembles of Multi-Layer Perceptron

Autores: Bohdan Yailymov, Hanna Yailymova, Andrii Shelestov, Nataliia Kussul
Publicado en: 15th International Conference Dependable Systems, Services and Technologies
Editor: Springer

Peer reviewed articles (2)

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 and 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 1939-1404
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JSTARS.2025.3644488