ΟΔΗΓΟΣ ΕΙΣΑΚΤΕΩΝ ΠΡΩΤΟΕΤΩΝ 2025

COURSE OUTLINE



(1) General

School:Social Sciences
Academic Unit:Geography
Level of studies:Undergraduate
Course Code:GEO 443Semester:F
Course Title:Application of Remote Sensing
Independent Teaching ActivitiesWeekly Teaching HoursCredits
Lecture2
Laboratory practice2
Course total5
Course Type:Required Elective
Prerequisite Courses:None
Language of Instruction and ExaminationsGreek
Is the course offered to Erasmus students:No
Course Website (Url):https://geography.aegean.gr/pps/index_en.php?content=0&lesson=443


(2) Learning Outcomes

Learning Outcomes

Sudents will be able to:

  • describe the basic remote sensing concepts and applications 
  • apply remote sensing methods to land, atmosphere and marine applications
  • combine various remote sensing data sources and methods
  • use ArcGIS, ERDAS and MATLAB s/w
  • decide which are the appropriate data sources/sensors and methods for their study/research

General Competences

  1. Search for, analysis and synthesis of data and information, with the use of the necessary technology

  2. Decision-making

  3. Working independently

  4. Working in an interdisciplinary environment

  5. Production of new research ideas

  6. Project planning and management

  7. Production of free, creative and inductive thinking


(3) Syllabus

Indicative topics:

  • Remote Sensing data sources
  • Hyperspectral data, spatial filtering
  • Photogrammetry - UAV
  • Soil moisture
  • Wildfire applications
  • Urban application
  • Agricultural applications
  • Land cover change detection
  • Object recognition
  • Meteorological applications
  • Marine applications, oil spills,, temperature, primary production

(4) Teaching and Learning Methods - Evaluation

Delivery:
Attendance and active participation
Use of Information and Communication Technology:
ArcGIS, ERDAS, MATLAB, Eclass. Students can use other s/w as well i.e. open source
Teaching Methods:
ActivitySemester workload
Lecture26
Laboratory practice26
Project39
Project39
Performance evaluation/Exams3
Course total133
Student Performance Evaluation
Personal project 100%. Includes: α) Mid-term presentation of the topic including, literature review, methodology, expected results.  β) Final presentation. 


(5) Attached Bibliography

  • Αρχές και Εφαρμογές Δορυφορικής Τηλεπισκόπησης, Κάρταλης Κων., Φείδας Χαρ.
  • Τηλεπισκόπηση και ψηφιακή ανάλυση εικόνας, Μερτίκας Στέλιος Π.
  • ΑΠΟΘΕΤΗΡΙΟ ΚΑΛΛΙΠΟΣ  (https://repository.kallipos.gr/simple-search?query=%CF%84%CE%B7%CE%BB%CE%B5%CF%80%CE%B9%CF%83%CE%BA%CF%8C%CF%80%CE%B7%CF%83%CE%B7)
  • International Scientific Journals i.e.:
  • Remote Sensing of Environment
  • IEEE Transactions on Geoscience and Remote Sensing
  • Applied Earth Observation and Geoinformation
  • IEEE Applied Earth Observations and Remote Sensing
  • Remote Sensing
  • Photogrammetric Engineering and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • International Journal of Remote Sensing
  • Remote Sensing Letters
  • Canadian Journal of Remote Sensing
  • GIScience & Remote Sensing
  • The Photogrammetric Record
  • Journal of Applied Remote Sensing
  • Journal of the Indian Society of Remote Sensing