REMOTE SENSING OF NATURAL DISASTERS

iten
Code
94666
ACADEMIC YEAR
2020/2021
CREDITS
5 credits during the 2nd year of 10553 ENGINEERING FOR NATURAL RISK MANAGEMENT (LM-26) SAVONA
SCIENTIFIC DISCIPLINARY SECTOR
ING-INF/03
LANGUAGE
English
TEACHING LOCATION
SAVONA (ENGINEERING FOR NATURAL RISK MANAGEMENT)
semester
1° Semester
Teaching materials

AIMS AND CONTENT

LEARNING OUTCOMES

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).

AIMS AND LEARNING OUTCOMES

After the course, the student shall know the key concepts related to information extraction from remote sensing images in the framework of disaster risk prevention and assessment. He/she shall have and shall be able to apply, through dedicated software platforms, basic knowledge about: remote sensing images; 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; bio/geophysical parameter estimation through regression from remote sensing data; and data representation in a geographic information system (GIS).

TEACHING METHODS

Class lectures (approximately 32 hours) and laboratory exercizes (approximately 8 hours). In relation to the COVID-19 pandemic and to the resulting travel restrictions and social distancing measures, classes will be given telematically and software exercizes will be organized online through the use of open software.

SYLLABUS/CONTENT

  • Basic notions and terminology about sensors, platforms, and space orbits for Earth observation
  • Remote sensing image acquisition through passive sensors
  • Land cover mapping through remote sensing image classification
  • Detection of changes through multitemporal remote sensing image analysis
  • Bio/geophysical parameter estimation through regression from remote sensing data
  • Data representation in a geographic information system

RECOMMENDED READING/BIBLIOGRAPHY

  • Richards J. A., Remote sensing digital image analysis, Springer, 2013
  • Bishop C., Pattern recognition and machine learning, Springer, 2006
  • Campbell J. B. and Wynne R. H., Introduction to remote sensing, Guilford Press, 2011
  • Hastie T., Tibshirani R., and Friedman J., The elements of statistical learning, Springer, 2008
  • Long D. and Ulaby F. T., Microwave radar and radiometric remote sensing, Artech House, 2015
  • Moser G., Analisi di immagini telerilevate per osservazione della Terra, ECIG, 2007
  • Class slides will be provided to the students through AulaWeb.

TEACHERS AND EXAM BOARD

Office hours: By appointment

Office hours: By appointment

Exam Board

GABRIELE MOSER (President)

SILVANA DELLEPIANE

ALESSANDRO FEDELI

LUCA MAGGIOLO

MATTEO PASTORINO (President Substitute)

ANDREA RANDAZZO (President Substitute)

SEBASTIANO SERPICO (President Substitute)

LESSONS

TEACHING METHODS

Class lectures (approximately 32 hours) and laboratory exercizes (approximately 8 hours). In relation to the COVID-19 pandemic and to the resulting travel restrictions and social distancing measures, classes will be given telematically and software exercizes will be organized online through the use of open software.

EXAMS

EXAM DESCRIPTION

Oral examination

ASSESSMENT METHODS

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 disaster risk prevention and management shall be evaluated.

Exam schedule

Date Time Location Type Notes
21/12/2020 10:00 SAVONA Orale
27/01/2021 10:00 SAVONA Orale
17/02/2021 10:00 SAVONA Orale
18/02/2021 11:00 GENOVA Esame su appuntamento
07/06/2021 10:00 SAVONA Orale
02/07/2021 10:00 SAVONA Orale
22/07/2021 10:00 SAVONA Orale
15/09/2021 10:00 SAVONA Orale
17/09/2021 11:00 GENOVA Esame su appuntamento