Course Information
SchoolSchool of Spatial Planning and Development
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorDimitrios Kaimaris
Course ID20002270

Programme of Study: PPS Tmīmatos Mīchanikṓn CΗōrotaxías kai Anáptyxīs (2020-sīmera)

Registered students: 203
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course425

Class Information
Academic Year2020 – 2021
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Class ID
Course Type 2016-2020
  • Background
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
Students are expected to take the course • Understand the theory and basic concepts of Remote Sensing, imaging satellite systems, the characteristics of digital satellite imagery, their spatial, spectral and radiometric resolution, the geometry, the numerical operations, the classification and classification of • connect theory with practice through the use of Remote Sensing software and the processing of satellite images: geometric image correction, composite image creation, control of preservation of original spectral information, classification of images into urban, spatial and / or environmental applications.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in an interdisciplinary team
  • Appreciate diversity and multiculturality
  • Respect natural environment
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction-Applications, Basic Concepts, electromagnetic spectrum, mapping Satellites & Recording Systems, Digital features of satellite imagery, spatial and radiometric resolution capability, sampling, digital image and its geometry, arithmetic of Images (Filters etc), Geometric and radiometric corrections, image improvements and transformations, image Classification - Algorithms, Remote Sensing and photo-interpretation of Digital Image, photo interpretation features, Photointerpretation of cover-land uses. Practical applications in various Department disciplines.
Educational Material Types
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
The teaching of the theory is carried out in the halls of the Department, utilizing electronic teaching / presentation. The laboratory exercises conducted in the laboratories of the Department, utilizing both Remote Sensing software and electronic teaching / presentation. Detailed information and data provided in the course elearning. It is also a communication tool with students (announcements, etc.).
Course Organization
Laboratory Work20
Reading Assigment55
Student Assessment
The examination is initially in the classroom (theory) and then in the laboratories of the Department (lab exercises), after the completion of 13 weeks of instruction. The examination is performed in Theory and laboratory exercises. Specifically, in the laboratories of the Department, students are asked to solve exercises, which are similar to the exercises taught during the semester. The theory exam is 60%, and the examination in the laboratory for 40% of the final grade.
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Problem Solving (Formative, Summative)
  • Labortatory Assignment (Formative, Summative)
Course Bibliography (Eudoxus)
Καϊμάρης Δ., Τηλεπισκόπηση - Θεωρητική προσέγγιση και εργαστηριακές ασκήσεις, ISBN: 978-960-9717-08-3, Εκδόσεις ΑΠΘ. Μερτίκας Στέλιος, 1999, Τηλεπισκόπηση και ψηφιακή ανάλυση εικόνας, ISBN 960-405- 949-1, Εκδόσεις ΙΩΝ.
Additional bibliography for study
Ασκήσεις σε ψηφιακή μορφή και ψηφιακά δεδομένα (αναρτημένα στο elearning).
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