You are welcome to join the Scientific seminar of the Dept. Software Technologies and Information Systems on 31st March 2026, Tuesday, from 14.00 (UTC+02). The seminar will be in hybrid format: in 278 hall in the building of IMI-BAS and via ZOOM.  Assist.  Ventsislav Polimenov will give a talk, entitled: “ANNSIA – Adaptive Neural Network for Satellite Image Analysis“. The talk will show an innovative approach to leaf area index estimation using a multi-sensor deep neural network that combines Sentinel-2 and Landsat 8/9 data. The study addresses two primary challenges, namely the absence of in-situ data for training and the substantial differences in spatial and spectral characteristics between the sensors. The model employs a Multi-Sensor U-Net with Conditional Batch Normalisation, enabling unified processing of heterogeneous sensor inputs and the learning of sensor-agnostic vegetation representations. Training is conducted through a VI-ensemble approach that generates pseudo-LAI labels without requiring field measurements. Data balancing strategies and spatial block validation ensure reliable assessment of model accuracy and generalisation capacity. The results are presented in lecturer`s PhD thesis (to be defended) and demonstrate improved model performance when leveraging information from both satellites, as well as successful transfer to new geographic regions and time periods. This constitutes a contribution to the still underexplored field of multi-sensor remote sensing and establishes a foundation for future extensions to other biophysical variables and the integration of additional satellite data sources.