TeacherVasil Yordanov (vasil.yordanov@polimi.it) TutorsPolychronis Kolokousis (polychronis.kolokousis@polimi.it) Research areaGeoinformatics KeywordGeospatial foundation models, Spatial embeddings, Down-sampling, Multi-scale representation TechnologiesLanguages: Python, Jupyter Notebook. […]
Docente: Giovanna Venuti Tutor Aziendale: Nicolò Taggio Planetek Italia (taggio@planetek.it) Area di ricerca: Machine Learning in weather forecasting Keywords Machine Learning, Weather Forecasting, Anemoi Description The proposed
Teacher: Giovanna Venuti Tutor: Andrea Gatti (Geomatics Research and Development srl – GReD) Research area: GNSS, Geospatial data analysis, Artificial
The goal of this project is to develop a reproducible validation framework to assess the accuracy and temporal consistency of
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR/IREA Description: Accurate mapping of burned areas is essential for monitoring wildfire
Teacher: Giovanna Venuti Tutor: Daniela Stroppiana Description: Satellite-derived vegetation indices such as the Normalized Difference Vegetation Index (NDVI) are widely
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR/IREA Description: this project involves the development of a robust, automated pipeline
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR/IREA Description: the project focuses on the implementation of two algorithms: BEAST (Bayesian Estimator
The goal of this project is to develop a Python library to exploit multitemporal land-cover fraction layers in data-cube formats,
The goal of this project is to develop a Python library that supports the collection, preprocessing, harmonisation, and creation of