Remote Sensing II

LEARNING OUTCOMES

Objectives of the course are the following:

• Application of satellite image evaluation techniques
• Retrieval and processing of satellite data by online platforms
• Programming methods in specialized remote sensing software
• Visualization of remote sensing data analysis results
• Photo interpretation of images in topographical and cadastral applications

 

General Competencies

• Search, analysis and synthesis of data and information, using the necessary technologies
• Decision-making
• Autonomous work
• Project planning and management

 

COURSE CONTENT

1. Supervised, unsupervised and object-oriented classification of multispectral satellite images
2. Processing images and programming
3. Neural networks, Artificial Intelligence and Machine Learning in Remote Sensing
4. Remote sensing applications in urban and rural areas
5. The use of Remote Sensing in environmental applications of soil and water quality
6. Operational applications of Remote Sensing
7. Retrieval and processing of satellite data from USGS and COPERNICUS web platforms
8. Retrieval and processing of historical data from the platforms of the Army Geographical Service and the Greek Land Registry
9. Interferometry and radar applications
10. Digital Soil Models and Remote Sensing
11. Remote Sensing and Geographic Information Systems
12. Photo-interpretation of historical data in property status surveys, forest maps, topographical and cadastral applications.

 

STUDENT EVALUATION

• Multiple-choice final written exam and development questions (70%)
• Individual Semester Theme (30%)
Language of the examination: Greek (English if needed, e.g., Erasmus+students)

 

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. Lillesand S. M.,R.W. Kiefer, J.W. Chipman, 2007. Remote Sensing and Image Interpretation. Wiley.
5. Mather P., 2004. Computer Processing of Remotely Sensed Images: An Introduction. Wiley.
6. Sabins F.F., 1997. Remote Sensing: Principles and Interpretation, W. H. Freeman & Co., New York.
7. Schowengerdt R.A., 2006. Remote Sensing: Models and Methods for Image Processing, Academic Press.