The course introduces the key concepts related to information extraction from remote sensing images in the framework of disaster risk prevention and assessment. Basic knowledge will be provided about remote sensing image acquisition through passive sensors; land cover mapping through remote sensing image classification in the application to risk prevention; detection of ground changes from multitemporal remote sensing images in the application to damage assessment; and data representation in a geographic information system (GIS).
L'insegnamento è erogato integralmente in lingua inglese. Per tutte le informazioni relative, si veda la sezione in inglese.
Ricevimento: Su appuntamento.
Ricevimento: Su appuntamento
GABRIELE MOSER (Presidente)
SILVANA DELLEPIANE
ALESSANDRO FEDELI
LUCA MAGGIOLO
MATTEO PASTORINO (Presidente Supplente)
ANDREA RANDAZZO (Presidente Supplente)
SEBASTIANO SERPICO (Presidente Supplente)
https://courses.unige.it/10553/p/students-timetable
REMOTE SENSING OF NATURAL DISASTERS