Find below SWIFTT’s news articles, press releases, digests of scientific papers, as well as other outreach materials.
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.
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'.
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.
05 October 2023
EuroGEO brings together and coordinates activities in Europe that contribute to the initiatives of the Group on Earth Observations (GEO).
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
[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