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