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: 55
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course425

Class Information
Academic Year2014 – 2015
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
The acquisition of theoretical and practical knowledge in Remote Sensing, with emphasis on the requirements of the Spatial Planning and Development. Familiarity use e-learning system BlackBoard. Familiarity with bibliographic research, literature and foreign language terminology. Acquiring practical knowledge of software Sensing. Capacity self-study-research. Assimilation of theoretical and practical knowledge of remote sensing in areas that emphasize the requirements of the Spatial Planning and Development.
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 blackboard. It is also a communication tool with students (announcements, etc.).
Course Organization
Laboratory Work20
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 blackboard).
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