SubscribeFind below SWIFTT’s news articles, press releases, digests of scientific papers, as well as other outreach materials.
Publication: Satellite-Based Analysis of Forest Damage in Ukraine’s Protected Areas
13 January 2026
In this work, SWIFTT partners from the Space Research Institute of Ukraine introduce an innovative satellite-based approach for rapid forest damage detection, providing a scalable, resource-efficient solution with minimal data and computational needs.
Publication: Machine Learning for Ukraine’s Forest Cover Damage Assessment based on Satellite Data
13 January 2026
In this work, SWIFTT partners from the Space Research Institute of Ukraine present a comprehensive machine learning approach for assessing forest cover damage in Ukraine based on satellite data from 2016 to 2024.
Publication: Forest Stress Detection Using Feature Engineering & Selection Approach Optimized for Satellite Imagery
15 December 2025
In this work, SWIFTT partners from the Space Research Institute of Ukraine introduce an efficient and interpretable feature selection strategy that identifies optimal combinations of spectral features from generalized vegetation index classes rather than fixed indices.
Technology & Forestry: EU Project SWIFTT’s Results Are Presented In Hybrid Seminar
09 December 2025
The event will feature a live demonstration of the SWIFTT platform and presentations from project team, allowing participants to discover how it supports timely, data-driven decision-making in the field.
SWIFTT Newsletter #5
19 November 2025
The fifth issue of the SWIFTT project newsletter is out! Get up to date with the project development and partner activities.
Publication: Deep Change Vector Analysis to Map Bark Beetle Outbreaks in Open Sentinel-2 Data
14 November 2025
In this work, SWIFTT partners from the University of Bari Aldo Moro explore the potential of an unsupervised learning method designed to process Sentinel-2 images of Earth’s forest scenes and automate the inventory of forest tree dieback caused by bark beetle outbreaks.
Publication: AI-Powered Digital Twin Framework for Land Use Change in Disaster Affected Regions
22 October 2025
In this work, SWIFTT partners from the Space Research Institute of Ukraine present a novel AI-powered Digital Twin (DT) framework tailored for disaster-affected regions, integrating multimodal satellite data, climate reanalysis, and in situ observations.
SWIFTT partners participates in the Interreg Europe SATSDIFACTION Project meeting in Riga, Latvia.
13 October 2025
Juris Zarins presented the projects related to the use of satellite data in which Rīgas meži is involved, including SWIFTT.
Forest Threat Data Collection
18 September 2025
As part of the SWIFTT project, foresters are using the mobile app developed by project partner Timbtrack to systematically collect ground-truth data from their parcels.
