Scheda programma d'esame
REMOTE SENSINGĀ 
CAROLINA PAGLI
Academic year2016/17
CourseGEOSCIENCES AND GEOTECHNOLOGIES
Code166HH
Credits6
PeriodSemester 2
LanguageItalian

ModulesAreaTypeHoursTeacher(s)
TELERILEVAMENTO RADARICAR/07LEZIONI54
CAROLINA PAGLI unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
Knowledge
The student who successfully completes the course will have the ability to analyse, interpret and critically evaluate remote sensing data relevant for Earth Science applications. The students will be able to demonstrate knowledge of the basic physical and technical principles underlying remote sensing. Furthermore, the students will master the criteria for choosing satellite data for a given application. They will be aware of the current abilities, future potential and limiting factors of remotely sensed data.
Assessment criteria of knowledge
The student will be assed based on his/her abilities to demonstrate how satellite remote sensing are used in different Earth Sciences applications. During the oral exam the student must be able to demonstrate his/her knowledge of the course material and be able to discuss the reading matter thoughtfully and with propriety of expression. With the oral presentation, the student must demonstrate the ability to approach a given research problem, and organise an effective exposition of the results. The student will be assessed on his/her ability to demonstrate a problem-solving and critical thinking attitude. The quizzes and group practical will assess the students ability to work independently as well as in a team.

Methods:

  • Final oral exam
  • Periodic Quizzes/multiple choice
  • Laboratory practical
  • Oral report

Further information:
Assessment: Labs 10%, Student final oral presentation 30%, Final oral exam 60%. The labs will be carried out by the students independently and as groups. The labs consist of a set of short quizzes and group practicals. The quizzes will be answered by each student independently and then peer assessed. The results will be then discussed in the class. The group practicals are exercises where real dataset will be analysed by the students in small groups. All labs, including quizzes and group practicals, are not marked but are mandatory to obtain 10%. A final oral presentation of about 20 minutes will be presented by each student. The presentation will focus on a study area that will be coordinated with the module leader during the last weeks of the course. The final presentation will count 30% of the final mark. The final oral exam will the knowledge and competence of the students. The final presentation will count 60% of the final mark.

Teaching methods

Delivery: face to face

Learning activities:

  • attending lectures
  • preparation of oral/written report
  • participation in discussions
  • individual study
  • group work
  • Practical

Attendance: Advised

Teaching methods:

  • Lectures
  • Seminar
  • Task-based learning/problem-based learning/inquiry-based learning
  • project work

Syllabus
The course includes the basic principles of remote sensing: acquisition methods, principles of ElectroMagentic (EM) radiation, sources of EM and interaction with the atmosphere and the Earth. Basic principles of radar systems. Side Looking Radar and high resolution Synthetic Aperture Radar (SAR), with emphasis on all the different applications of SAR to study actively deforming volcanic and tectonic areas. Basic knowledge of geodesy, in particular Global Positing System (GPS). Analysis of single band and multispectral satellite data (LANDSAT, SPOT). Satellite missions for creation of Digital Elevation Models (DEM) such as the Missioni SRTM (Shuttle Radar Topography Mission) and LiDAR.
Updated: 14/11/2016 17:27