The course introduces the key concepts associated with remote sensing for Earth observation in the framework of the applications to renewable energy.
Introducing the key concepts associated with Earth observation through remote sensing images for renewable energy applications. Providing the students with basic knowledge about remote sensing image acquisition and about mapping, through remote sensing image analysis, bio/geophysical parameters associated with renewable energy sources, including vegetation biomass, wind velocity field over sea water, solar irradiance, and air surface temperature.
After the course, the student shall know and shall be able to apply, through dedicated software platforms, basic notions about: remote sensing data collected by optical, radar, and laser sensors; vegetation biomass mapping from remote sensing; wind velocity field characterization over sea water from radar data; solar irradiance retrieval from geostationary optical data; air surface temperature estimation from thermal infrared data; and the methodological bases of vegetation cover classification and supervised regression.
Class lectures (approximately 40 hours) and software laboratory exercises (approximately 8 hours).
Ricevimento: By appointment
GABRIELE MOSER (President)
SILVANA DELLEPIANE
LUCA MAGGIOLO
SEBASTIANO SERPICO (President Substitute)
https://courses.unige.it/10170/p/students-timetable
REMOTE SENSING
Oral examination.
Within the oral examination, the student's knowledge of the course topics and his/her capability to discuss how to address simple problems of remote sensing data analysis associated with energy applications shall be evaluated.