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Υ2204 - GIS AND INTRODUCTION TO REMOTE SENSING

INSTRUCTORS

Lectures:

N. Evelpidou, Prof.

E. Vassilakis, Assoc. Prof.

A. Karkani, Laboratory Teaching Staff.

Lab. Training:

N. Evelpidou, Prof.

E. Vassilakis, Assoc. Prof.

A. Karkani, Laboratory Teaching Staff.

eClass Webpage

COURSE KEY ELEMENTS

LEVEL / SEMESTER:

EQF level 6; NQF of Greece level 6 / 2nd

TYPE:

General background,  Skills development (obligatory)

TEACHING ACTIVITIES - HOURS/WEEK  - ECTS:

Lectures-seminars & laboratory work
3 hours of lecturing,
3 hours of practical exercises per week,
6 ECTS credit

Prerequisites:

None

Language of instruction and Assessment:

Greek(V.S.1 English)

Availability to Erasmus+ Students:

YES in English


COURSE CONTENT:

Α. Lectures

  • Input Data
  • Data Analysis
  • Coordinate Systems
  • three-variable variables
  • Applications of arithmetic and statistical analysis
  • Introduction to Remote Sensing
  • Elements of electromagnetic radiation
  • Types of Remote Sensing Data
  • Forms of resolution
  • Stages of digital data processing.

Β. Practical Exercises:

  • Introduction to ArcGIS
  • Raster Data Input
  • Vector Data Input – Digitization
  • Vector Data Input from Databases
  • Data Analysis
  • Cartography
  • three-variable variables
  • Remote Sensing data processing and interpretation techniques.

LEARNING ACTIVITIES - TEACHING METHODS:

PLANNED LEARNING ACTIVITIES:

Activity Student’s effort
Lectures39 hours
Laboratory work and/or exercises39 hours
Fieldwork42 hours
Unguided Study30 hours
Total student effort150 hours

ASSESSMENT METHODS AND CRITERIA

The assessment process is conducted in Greek (there is the possibility of examination in English for Erasmus students).

Course theory (50%):

  • The grade is based on the written examination at the end of the semester.

Laboratory Exercises (50%).

The score is distributed as follows:

  • The weekly participation in the homework (20%) that is done in the classroom is evaluated
  • Two progress tests, one in the middle of the semester and one at the end, each of which receives 40% of the lab score.

RECOMMENDED BIBLIOGRAPHY

Books in Greek:

  • Astaras Th., 2010. Remote sensing Photointerpretation in Geosciences, Pub. Giourdas, pp.484, [Code Eudoxous: 12992734] (in Greek).
  • Evelpidou N., Antoniou V., 2015. Geographical Information Systems. Kallipos, Open Academic Editions. (e-book:PDF, e-pub) [Code Eudoxous: 320066] (in Greek).
  • Evelpidou N., Tzouxanioti M., Karkani A., 2022. Geographic Information Systems. Tziola, Athens (in Greek).
  • Evelpidou N., Tzouxanioti M., Karkani A., 2023. Geographical Information Systems from Theory to Practice: Use of ArcGIS Pro. Kallipos, Open Academic Editions (in Greek).
  • Vaiopoulos D., Vassilopoulos A. P., Evelpidou N., 2008. Geographical Information Systems from Theory to Practice, [Code Eudoxous: 45423] (in Greek)

Related scientific Journals:

The following notes are also suggested:

 


1 V.S.: Visitor Students (e.g. ERASMUS)