LEARNING OUTCOMES
After the end of the course, students will have understood the following:
- Introduction to the basic concepts of Electro-Magnetic radiation and the physical laws of its interaction with matter and atmosphere.
- Description of digital remote sensing data
- Description of the principles of satellite navigation
- Reporting of key earth observation programmes by research and commercial satellites
- Princples for the recognition, pre-processing and improvement-correction of digital images
- Basic principles and description of multi-spectral images, thermal infrared and radar
- Introduction to digital image analysis software
General Competencies
- Search, analysis and synthesis of data and information, using the necessary technologies
- Decision-making
- Autonomous work
- Teamwork
COURSE CONTENT
Theoretical Part of the Course:
Basic principles of Electro/Magnetic (E/M) radiation (laws, interactions of electromagnetic radiation with the atmosphere and the surface of the Earth, spectral signatures). Pre-processing of digital image (Geometric deformations, geo-reference, atmospheric and radiometric correction). Methods of image enhancement (Histogram, filters); basic concepts of image sorting. Presentation and description of digital remote sensing data (multispectral sensors, visible/infrared, thermal infrared, Radar, Lidar). Inking/geometry of satellite systems. Space programmes and Earth Observation sensors (Sentinel, Landsat, IKONOS, QuickBird, Worldview).
Laboratory Part of the Course
Use of specialized software (e.g. ENVI), Reading and description of multispectral data of digital imagery. Histogram, geometric, radiometric and atmospheric corrections. Image improvement methods.
STUDENT EVALUATION
• Multiple-choice final written exam and development questions(70%)
• Laboratory Exercises(30%)
RECOMMENDED BIBLIOGRAPHY
Greek:
1. Skianis Eim. G., Nikolakopoulos G. K., Vaiopoulos A. D. 2012. “Remote Sensing” ION Publications 336sel.
2. Kartalis K., C., 2007, Fidas, “Principles & Applications of Satellite Remote Sensing”, V. Gkiourdas Ekdotiki, Athens.
3. Mertikas S.P., 2006, “Remote Sensing and Digital Image Analysis”, ION Publications
English:
1. Campbell J.B., 2006. Introduction to Remote Sensing, The Guilford Press, New York.
2. Cracknell A.P., L. Hayes, 2007. Introduction to Remote Sensing, CRC Press.
3. Jensen J.R., 2005. Introductory Digital Image Processing: A Remote Sensing Perspective. Prentice Hall.
4. Mather P., 2004. Computer Processing of Remotely Sensed Images: An Introduction. Wiley.
5. Schowengerdt R.A., 2006. Remote Sensing: Models and Methods for Image Processing, Academic Press.