SubscribeFind below SWIFTT’s news articles, press releases, digests of scientific papers, as well as other outreach materials.
SWIFTT’s hybrid seminar “Technology & Forestry” gathers 150 participants
12 February 2026
It featured presentations from project team, various forest stakeholders from the public and private sectors, and a live demonstration of the SWIFTT platform. The event gathered around 50 in-person and 100 online participants.
Last SWIFTT general assembly
11 February 2026
On February 10th, the SWIFTT consortium got together one last time in Belgium, to discuss the project's accomplishments during the last three years and the plans towards the conclusion of the project.
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.
