SubscribeSWIFTT’s findings are communicated at scientific conferences and published in open-access journals. Find below the current list of publications.
Access all publication on the project's Zenodo community clicking here.
SILVIA: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images
This study explores the achievements of machine learning to perform the inventory mapping of bark beetle infestation hotspots in Sentinel-2 images.
G. Andresini, A. Appice and D. Malerba, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2023.3312521.
Statistical methods of feature engineering for the problem of forest state classification using satellite data
In this paper, the application of Bhattacharyya distance and Spearman’s rank correlation coefficient for feature selection from satellite images was investigated.
Y.V. Salii, A.M. Lavreniuk, N.M. Kussul, System research and information technologies, 1 (2024), doi: 10.20535/SRIT.2308-8893.2024.1.07
