Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR/IREA Description: This project focuses on the development of automated workflows for […]
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR/IREA Description: This project focuses on the construction of a harmonised, multi-source
Teacher: Giovanna Venuti Tutor: Andrea Gatti (Geomatics Research and Development srl – GReD) Research area: GNSS, Geospatial data analysis, Artificial
Docente Marco Santambrogio (marco DOT santambrogio AT polimi DOT it) Referente del progetto Alessandro Verosimile (alessandro DOT verosimile AT polimi
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,