Photointerpretation - Remote Sensing

Course Information
TitleΦΩΤΟΕΡΜΗΝΕΙΑ-ΤΗΛΕΠΙΣΚΟΠΗΣΗ / Photointerpretation - Remote Sensing
CodeΤΓ3500
FacultyEngineering
SchoolCivil Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CommonNo
StatusActive
Course ID600003375
Class Information
Academic Year2025 – 2026
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Total Hours39
Class ID
600284706
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Learning Outcomes
After the succesful completion of the course, the students are expected to understand and learn fundamentals, methods and applications of photointerpretation-remote sensing, with emphasis in photointerpretation of analogic and digital image and in digital image processing with the use of suitable software.
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 teams
  • Design and manage projects
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Fundamentals. Remote sensing data acquisition: photographic systems, electron imagers, scanning systems. Thermography. Remote sensing microwave systems. Land observation satellites. Image study: image interpretation, issues of image interpretation applications, digital image processing.
Keywords
photointerpretation, remote sensing
Educational Material Types
  • Notes
  • Slide presentations
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
Description
Teaching with power point presentations and electronic form of notes in e-learning. Laboratory exercises in the Lab. computers with suitable software. Communication with students with email.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures78✓✓
Laboratory Work13✓✓
Reading Assigment10✓✓
Tutorial9✓
Exams2✓✓
Total112
Student Assessment
Description
Laboratory exercises Written or/and oral exams
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Oral Exams (Formative)
  • Written Exam with Problem Solving (Summative)
  • Report (Formative)
  • Labortatory Assignment (Formative)
Bibliography
Additional bibliography for study
Τεύχος σημειώσεων
Last Update
25-05-2020