SubscribeFind below SWIFTT’s news articles, press releases, digests of scientific papers, as well as other outreach materials.
Publication: GANDALF: A LLM-based approach to map bark beetle outbreaks in semantic stories of Sentinel-2 images
14 May 2025
In this work, SWIFTT partners from the University of Bari Aldo Moro describe GANDALF, an approach that leverages the potential of LLMs for mapping bark beetle outbreaks in Sentinel-2 images of forest areas.
Publication: A Novel Approach for Rapid Detection of Forest Degradation and Diseases Through Anomaly Analysis of Sentinel-2 Spectral Data
26 April 2025
In this work, SWIFTT partners from the Space Research Institute of Ukraine present a simple yet effective method for detecting forest degradation using freely available Sentinel-2 satellite data and an anomaly detection approach.
SWIFTT partner presents her work in the 40th ACM/SIGAPP Symposium On Applied Computing (ACM-SAC 2025)
11 April 2025
Annalisa Appice from the University of Bari presented the paper entitled “GANDALF: A LLM-based approach to map bark beetle outbreaks in semantic stories of Sentinel-2 images”
SWIFTT project presented to representatives of the NetZeroCities project
03 April 2025
Project partner Jānis Ģērmanis from Rīgas meži presented the project alongside the company's development plans and their involvement in other EU projects
SWIFTT Newsletter #4
03 March 2025
The fourth issue of the SWIFTT project newsletter is out! Get up to date with the project development and partner activities.
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.
Publication: An attention-based CNN approach to detect forest tree dieback caused by insect outbreak in Sentinel-2 images
28 January 2025
In this work, SWIFTT partners from the University of Bari Aldo Moro propose a deep learning-based approach, named AVALON, that implements a CNN to detect tree dieback events in Sentinel-2 images of forest areas.
