SubscribeFind below SWIFTT’s news articles, press releases, digests of scientific papers, as well as other outreach materials.
Webinar - Adaptive Forest Management and Policy to Tackle Climate Risks
13 August 2025
Forests are at a turning point. As climate risks escalate, Europe’s woodlands face growing threats—from increasingly intense wildfires to the slow erosion of resilience. How can we better understand, anticipate, and protect these vital ecosystems?
AI Meets Forestry: EU Project SWIFTT Webinar Explores Insect Damage Detection in European Forests
09 June 2025
The webinar will explore the practical and technical challenges of using artificial intelligence (AI) and satellite data to monitor bark beetle outbreaks
SWIFTT consortium meeting in Paris, France
27 February 2025
Partners discussed the accomplishments in the project's second year and the plans for the future.
Timbtrack provides training to Forestry France
24 February 2025
Field training in data collection with the SWIFTT mobile app happened in Col de la Moreno, France.
Timbtrack provides field training with the SWIFTT mobile app to EcoTree
07 February 2025
The company provided invaluable feedback on the SWIFTT mobile app.
Timbtrack provides field training in data collection with the SWIFTT mobile app to Rīgas Meži’s foresters
15 January 2025
This data collection process is not only important for testing the platform and the associated apps, and to train machine-learning models
SWIFTT project highlighted in video by the EU Agency for the Space Programme
08 January 2025
EUSPA supports the market development of the EU Space downstream sector and the uptake of space-based solutions through its Horizon Europe calls.
SWIFTT highlighted at the Da Vinci Dialogues
27 November 2024
Event co-organised by project partner Da Vinci Labs and La Fabrique du Futur was held on November 26th, in Paris, France.
SWIFTT partner presents work at the 27th International Conference on Discovery Science
17 October 2024
Research presented proposes a deep learning-based approach, named AVALON, that implements a CNN to detect tree dieback events in Sentinel-2 images of forest areas.
Publication: Semi-supervised European forest types mapping using high-fidelity satellite data
27 September 2024
In this work, SWIFTT partners from the Space Research Institute of Ukraine introduce an innovative semi-supervised approach for mapping European forest types by harnessing the power of high-resolution Sentinel-1 and Sentinel-2 satellite data from the Copernicus program.
Researchers explore novel approach to map forest dieback in satellite images
25 September 2024
Study published in the Journal of Intelligent Information Systems investigated the performance of a data-centric semantic segmentation approach to detect bark beetle infestation in satellite images. The results are part of the EU/EUSPA-funded project SWIFTT.
Publication: A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data
16 September 2024
In this work, SWIFTT partners from the University of Bari Aldo Moro illustrate a deep learning approach that trains a U-Net model for the semantic segmentation of Sentinel-2 images of forest areas.
SWIFTT partners present work at ECMLPKDD 2024
13 September 2024
The flagship European machine learning and data mining conference was held in Vilnius, Lithuania, on September 9-13, 2024
Publication: A multimodal dataset for forest damage detection and machine learning
05 September 2024
In this work, SWIFTT partners from the Space Research Institute of Ukraine provide a useful and reliable dataset of Ukraine’s territory for scientists, conservationists, foresters and other stakeholders involved in monitoring forest damage and its consequences for forest ecosystems and their services.
Publication: Features’ Selection for Forest State Classification Using Machine Learning on Satellite Data
05 September 2024
In this work, SWIFTT partners from the Space Research Institute of Ukraine and collaborators discuss the use of advanced computer vision and artificial intelligence techniques for analysing remote sensing data, specifically focusing on the semantic segmentation of forest areas.
Publication: Potential of spectral-spatial analysis to map forest tree dieback due to bark beetle hotspots in Sentinel-2 images
05 September 2024
In this work, SWIFTT partners from the University of Bari Aldo Moro and collaborators explore the performance of a spectral-spatial machine learning approach used to analyse Sentinel-2 images to detect forest tree dieback events due to bark beetle infestation.
Publication: DIAMANTE: A data-centric semantic segmentation approach to map tree dieback induced by bark beetle infestations via satellite images
04 September 2024
In this work, SWIFTT partners from the University of Bari Aldo Moro and collaborators explore the performance of a data-centric semantic segmentation approach to detect forest tree dieback events due to bark beetle infestation in satellite images.
SWIFTT partner presents work at the 2024 IEEE International Geoscience and Remote Sensing Symposium
12 July 2024
Paper from UNIBA is titled “Potential of spectral-spatial analysis to map forest tree dieback due to bark beetle hotspots in Sentinel-2 images”.
SWIFTT Newsletter #3
11 July 2024
The third issue of the SWIFTT project newsletter is out! Get up to date with the project development and partner activities.
SWIFTT consortium welcomes its new project coordinator
19 June 2024
Based in Paris, France, AXA Climate is the climate and biodiversity expert entity of AXA Group.
SWIFTT: A Copernicus-based forest management tool to map, mitigate, and prevent the main threats to EU forests
11 June 2024
The solution will increase forest management productivity and cost-effectiveness, and enable forest managers, authorities, and policymakers to deal with forest threats proactively.
SWIFTT goes through the project midterm review
22 May 2024
The SWIFTT consortium got together on May 22nd at the EUSPA headquarters in Prague, Czech Republic, for the project's midterm review meeting.
Publication: Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory
21 May 2024
SWIFTT paper explores the performance of remote sensing methods used to perform the inventory mapping of bark beetle-induced forest dieback.
ACM/SIGAPP Symposium On Applied Computing
11 April 2024
SWIFTT partner from the University of Bari presented the paper entitled “Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory” at the event held from 8-12 April in Avila, Spain.
Publication: Statistical methods of feature engineering for the problem of forest state classification using satellite data
29 March 2024
In this work, SWIFTT partners from the Space Research Institute of Ukraine and collaborators explore the use of the Bhattacharyya distance and Spearman’s rank correlation coefficient for feature selection from satellite images.
Workshop Copernicus for Forestry
13 March 2024
Project Partner TimbTrack presented SWIFTT in EU/EUSPA workshop held on 12th April 2024, in Brussels, Belgium
Publication: Monitoring of Fires Caused by War in Ukraine Based on Satellite Data
06 February 2024
SWIFTT paper examines the various data sources that are used to automatically detect fires at a national level in Ukraine.
SWIFTT Newsletter #2
11 January 2024
The second issue of the SWIFTT project newsletter is out! Get up to date with the project development and partner activities.
Publication: Semi-Supervised Forest Type Mapping in Europe on Satellite Data
21 December 2023
SWIFTT paper describes the results of a forest map created for the European territory based on 2022 Corpernicus’ Sentinel-1 and 2 satellite data with 10-metre spatial resolution with division into types of forests.
Separated by War: Deforestation and Reforestation in the Ukrainian Emerald Network
11 December 2023
Press Release - Study published in Nature Communications Earth & Environment finds stark differences in forest dynamics between Ukraine- and Russia-controlled territories between 2014 and 2020. The methodology was developed as part of the EU/EUSPA-funded project SWIFTT.
SWIFTT consortium launches first project video
30 November 2023
SWIFTT will provide forest managers with affordable, simple and effective remote sensing tools backed up by powerful machine learning models.
SWIFTT project presented at the GEO Week and the Ministerial Summit 2023 in Cape Town, SA
23 November 2023
The SWIFTT project was presented at the stand of the European Commission, which invited projects funded by the Commission contributing to the achievement of the GEO strategic goal of this decade 'Data for All'.
Publication: Current Advances on Cloud-Based Distributed Computing for Forest Monitoring
18 November 2023
Publication: SWIFTT paper analyses Copernicus Sentinel-2 satellite spectral channels for the diseased and healthy forests for the possibility of separating these two classes.
SWIFTT paper presented at the 3rd International Joint Conference on Learning & Reasoning (IJCLR)
16 November 2023
The paper explores how machine learning methods can be used to map bark beetle infestation hotspots in Copernicus Sentinel 2 images by leveraging spectral vegetation indices and performing self-training.
Publication: Google Earth Engine Framework for Satellite Data-Driven Wildfire Monitoring in Ukraine
26 October 2023
SWIFTT paper proposes a novel integrated framework for national-scale burned area mapping and fire cause assessment using satellite remote sensing data and fire risk modelling.
SWIFTT partner presents the project’s solutions at the EuroGEO workshop.
05 October 2023
EuroGEO brings together and coordinates activities in Europe that contribute to the initiatives of the Group on Earth Observations (GEO).
Publication: SILVIA - An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images
18 September 2023
In their recent paper, SWIFTT partners from University of Bari Aldo Moro, explore how machine learning methods can be used to map bark beetle infestation hotspots in Sentinel-2 images by leveraging spectral vegetation indices and performing self-training.
Stockholm Resilience Centre: All planetaryboundaries mapped out for the first time
15 September 2023
From globalwarming to the biosphere and deforestation, from pollutants and plastic to nitrogen cycles and freshwater: Six of nine planetary boundaries are being crossed.
SWIFTT project highlighted in report by the UNOOSA and EUSPA
09 August 2023
The report focuses on how to best leverage EU space data and information to answer the sustainability challenges of today while also paving the way towards a sustainable – and more densely populated – future.
Publication: Machine Learning Models and Technology for Classification of Forest on Satellite Data
07 August 2023
SWIFTT paper deals with the problem of semantic segmentation - the identification and classification of collections of pixels according to various characteristics - of satellite imagery to deliver high-resolution forest type maps.
Work related to the SWIFTT project presented at the IEEE EUROCON 2023 conference
08 July 2023
The main result is a new forest map for Europe, which will help to better identify different forest types and better monitor forest diseases in the future.
SWIFTT partners co-organizes International Summer School in Data Analytics
27 June 2023
The event is organized by the Educational and Research Institute of Physics and Technology of the NTUU, together with Anhalt University of Applied Sciences (Germany), University of Maryland (USA), and SWIFTT's partner Space Research Institute of Ukraine.
SWIFTT partners Timbtrack and Groupe Coopération Forestière join EUROFOREST 2023
22 June 2023
This is one of Europe’s leading trade fairs dedicated to the forest-wood industry, which takes place in June 22-24, 2023, in Saint-Bonnet-de-Joux, France.
![[Blog] SWIFTT celebrates Copernicus 25th Anniversary](https://swiftt.eu/uploads/_crop/SWIFTT_web_copernicus_crop_979cb0f770bc2846a152660c8c7d8f9a.png)
[Blog] SWIFTT celebrates Copernicus 25th Anniversary
08 June 2023
Using Copernicus data and powerful machine-learning models, SWIFTT will increase forest management productivity and cost-effectiveness, and enable public and private forest managers, authorities, and policymakers to deal with forest threats proactively.
SWIFTT Newsletter #1 | 2023
30 May 2023
The first issue of the SWIFTT project newsletter is out! Get up to date with the project development and partner activities.
SWIFTT partners co-organize the Hackathon ER IPT HACK_2023
05 May 2023
Three tasks are proposed by the partners: determination of diseased forest using satellite data (within the SWIFTT project), optimization of CPU power consumption during big calculations, and analysis of chats using AI.
Students win Black Sea Science competition with work on the SWIFTT project.
07 April 2023
In their work “Machine learning models and technology for classification of forest on satellite data” the team developed a deep learning algorithm for forest classification map creation based on satellite data using existing historical datasets as training data.
SWIFTT project presented at DeepLearn 2023 in Bari, Italy
07 April 2023
DeepLearn 2023 Spring is a research training event on the most recent advances in the critical and fast developing area of deep learning which took place from April 3rd to 7th.
SWIFTT partner Rīgas Meži presents project to city officials
06 April 2023
Partners introduced the project goals and activities to specialists from the Riga planning region, as well as Riga City's development department, and housing and environment department.
![[Blog] SWIFTT celebrates the International Day Of Forests 2023](https://swiftt.eu/uploads/_crop/SWIFTT_web_dayofforests_crop_979cb0f770bc2846a152660c8c7d8f9a.png)
[Blog] SWIFTT celebrates the International Day Of Forests 2023
21 March 2023
The SWIFTT project will equip forest managers with affordable, simple and effective remote sensing tools backed up by satellite imagery and powerful machine learning models, providing a next-generation solution to ensure the longevity of this precious environmental resource.
![[In the Media] BFMTV: AI, quantum and synthetic biology under development at Da Vinci Labs](https://swiftt.eu/uploads/_crop/bfmtv_crop_979cb0f770bc2846a152660c8c7d8f9a.png)
[In the Media] BFMTV: AI, quantum and synthetic biology under development at Da Vinci Labs
18 March 2023
Project partner Xavier Aubry, from Da Vinci Labs, presents the SWIFTT Project in the French TV channel BFMTV.
SWIFTT partners organize PhD-level course “GiS Methods and Technologies for Satellite Image Analysis”
15 March 2023
During the course, the possibilities of geospatial intelligence and its development, as well as existing global land cover maps and how artificial intelligence is used to obtain them will be considered.
SWIFTT partners get together
23 February 2023
Nataliia Kussul, from the Space Research Institute of Ukraine, visited the Institute for Information Processing of the Leibniz Universität Hannover.
![[In the Media] Labs of Latvia: Riga Forests involved in developing digital tool for monitoring and managing forest risks](https://swiftt.eu/uploads/_crop/SWIFTT_website_thumb1_crop_979cb0f770bc2846a152660c8c7d8f9a.jpg)
[In the Media] Labs of Latvia: Riga Forests involved in developing digital tool for monitoring and managing forest risks
10 February 2023
The SWIFTT Project was highlighted by the Latvian website Labs of Latvia.
SWIFTT consortium selected by EU’s Horizon Europe Program to develop an AI and satellite-based solution for monitoring of forest risks
02 February 2023
The project partners will receive a cumulative €2.8M grant from the EUSPA/European Commission over the next three years
SWIFTT partners meet for the project kickoff meeting
24 November 2022
The SWIFTT project’s kickoff meeting took place from November 22nd to 24th in Tours, France.
