PLANET data management tool (assigned)
Teacher: Giovanna Venuti Tutor: dr. Daniela Stroppiana – CNR IREA Project description:The required tool should allow users to search for […]
GeoInformatica, Progetto
GeoInformatica
GeoInformatica, Progetto
Development of a Web application for interactive visualisation of CMCC data and derived heat stress indices (assigned to Filippo Bissi)
ProfessorMaria Brovelli (maria.brovelli@polimi.it) TutorsAlberto Vavassori (alberto.vavassori@polimi.it)Matej Zgela (matej.zgela@polimi.it) Research areaGeoinformatics KeywordCMCC, heat stress, Web application TechnologiesPython, GitHub, Streamlit (https://streamlit.io/) DescriptionThe
GeoInformatica
Development of a QGIS plugin for the validation of burned area maps.
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR- IREA Project description: The project requires to develop a plugin in QGIS for
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Development of tools for the analysis of the spatio-temporal distribution of nighttime active fires at global scale (assigned)
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR- IREA Project description: The project requires to develop for the user a
GeoInformatica
Implementation of a long short-term memory (LSTM) model for predicting lake water quality in burned catchments (assigned)
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR-IREA Project description: Wildfires can impact lake water quality. LSTM models can
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Implementation of a model for estimating surface water runoff in burned catchments.
Teacher: Giovanna Venuti Tutor: Daniela Stroppiana – CNR-IREA Project description: Post-fire debris flows can have erosion rates greater than unburned
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Implementation of an algorithm for mapping snow cover from time series of Sentinel-2 and Sentinel-3 data in Lombardy, Italy (assigned)
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR- IREA Project description: This project focuses on the implementation of a
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Using Sentinel-2 for LCZ mapping and material fraction computation through spectral unmixing (assigned to Stefano Brazzoli)
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,
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Off-line Subject-Specific AI Assistant Development Framework (assigned to Junjie Mu)
The objective of this project is to develop a prototype framework for deploying offline, subject-specific AI assistants, with a focus
GeoInformatica, Progetto
QGIS plugin for managing Copernicus Atmosphere Monitoring Service (CAMS) data
TeacherMaria Brovelli (maria.brovelli@polimi.it) TutorsVasil Yordanov (vasil.yordanov@polimi.it)Lorenzo Amici (lorenzo.amici@polimi.it) Research areaGeoinformatics Keywords Copernicus Atmosphere Monitoring Service, air quality, QGIS TechnologiesPython, QGIS