Forest Cover Validation Framework for Multi-Temporal Land Cover Maps (assigned to B. Hao & H. Ye)
The goal of this project is to develop a reproducible validation framework to assess the accuracy and temporal consistency of […]
The goal of this project is to develop a reproducible validation framework to assess the accuracy and temporal consistency of […]
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
The goal of this project is to upgrade the QGIS HotSpotAnalysis plugin (https://github.com/danioxoli/HotSpotAnalysis_Plugin). The code will be updated to match
Teacher: Maria Brovelli (maria.brovelli@polimi.it) Tutors: Daniele Oxoli (daniele.oxoli@polimi.it); Alberto Vavassori (alberto.vavassori@polimi.it) Keyword: Sentinel-2, Local Climate Zones, spectral unmixing Technologies: Python,
The objective of this project is to develop a prototype framework for deploying offline, subject-specific AI assistants, with a focus
The objective of the project is to develop a prototype application to modify land cover or spectral indices raster layers