SubscribeFind below SWIFTT’s news articles, press releases, digests of scientific papers, as well as other outreach materials.
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.
