Environmental Applications of Remote Sensing

(Course Code: 338Υ, Course outline)

Semester: 6 Teaching Credits: 3 ECTS Credits: 6 Type:

Optional Compulsory

Prerequisite Courses: Introduction to Topographic Mapping and GIS Course type: Skills development Instructor:

The laboratory is designed to first familiarize the student with basic methods of digital remote sensing and then to work out an integrated project on environmental applications using advanced systems such as Ilwis, Erdas Imagine, Idrisi, etc. The project is worked out individually, or, in teams on topics taken from current research programs in the Department. The environmental applications for the final project cover the areas: land and sea environment, atmosphere, land cover, residential and industrial areas, agriculture, forestry, archaeology, geology, etc. The proposed project could also be an exercise in another application course, as well as, a part of the senior project thesis.

Topics per Week:

Lectures and Laboratories are performed in the following sequence:


1. Characteristics of digital images, imaging systems

2. Digital image processing, enhancement, ortho correction, fusion

3. Image classification

4. Vegetation, agriculture

5. Land cover, land use

6. Natural environment

7. Urban environment

8. Atmosphere

9. Sea environment, extraction of SST from NOAA AVHRR

10. Natural disasters

11. Studies of environmental impact

12.Material review

13. Presentation of projects

Lab assignments

1. Visualization of a single band

2. Enhancement of a digital image

3. Visualization of a multiband image

4. Geometric correction

5. Multiband processing

6. Image classification. Final project: select the topic

7. Orthorectification. Final project: work flow design

8. Final project: Image processing

9. Final project: Ground samples

10. Final project: Classification

11. Final project: Production of results

12. Final project: Discussion / Evaluation of results

13. Final project: Final report

Theory – Lectures
(hours / week)
2. Lectures are part of the Lab with mandatory presence
Exercises – Laboratories
(hours / week)
2. Mandatory presence
Other Activities:  –

Lab-Exercizes 20%.

Final exam 40%.

Final report and presentation 40%.

Notes: In electronic form in the Web Vista
Basic Textbook:
  • X. Feidas, K. Kartalis, (2007) “Principles and applications of satellite remote sensing” (in Greek), V. Giourdas Publisher, ISBN 960-387-520-1, pages: 680.

    George X. Miliaresis (2003) “Photointerpretation – Remote Senssing” (in Greek), Ion Publisher.

Bibliography: ASPRS: Editor-in-Chief: Robert A. Ryerson “Remote Sensing, Volume 2:Principles & Applications of Imaging Radar 0-471-29406-3 Published with John Wiley & Sons, Inc. 1998.
ASPRS: Editor-in-Chief: Robert A. Ryerson Volume 3: Remote Sensing for the Earth Sciences, 0-471-29405-5, Published with John Wiley & Sons, Inc., 1999.
ASPRS: Editor-in-Chief: Andrew B. Rencz, Volume 4: Remote Sensing for Natural -Resource Management & Environmental Monitoring, 0-471-31793-4, Published with John Wiley & Sons, Inc., 2004.
ASPRS: Editor-in-Chief: Andrew B. Rencz, Manual of Remote Sensing, 3rd edition, Volume 5: Remote Sensing of Human Settlements, 1-57083-077-0, Published with John Wiley & Sons, Inc., 2005.
ASPRS: Editor-in-Chief: Andrew B. Rencz, Manual of Remote Sensing,3rd edition, Volume 6: Remote Sensing of the Marine Environment, 1-57083-080-0, Published with John Wiley & Sons, Inc., 2006.
-ΑSP, (1983), “Manual of Remote Sensing”, 2nd Ed.
-Morton John Canty, 2010, “Image Analysis, Classification, and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL”, Second Edition,CRC Press, 2nd edition, 471pp.
-Russell G. Congalton and Kass Green Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, 873719867, Published by Lewis Publishers, 1998.
Cracknell A.P. & Hayes L.W.B. (1991), “Introduction to remote sensing”, Taylor & Francis, London, New York, Philadelphia, 293 pp.
-Ian G. Cumming and Frank H. Wong, 2005, “Digital Processing Of Synthetic Aperture Radar Data: Algorithms And Implementation”, Artech House, 660pp.
-Hatzopoulos J. N., 2008, “Topographic Mapping: Covering the wider field of Geospatial Information Science & Technology (GIS&T)”, ISBN 1-58112-988-6, Universal Publishers, 740 pp.
– Ned Horning, Julie A. Robinson, Eleanor J. Sterling and Woody Turner, 2010, “Remote Sensing for Ecology and Conservation: A Handbook of Techniques (Techniques in Ecology & Conservation)”, Oxford University Press, USA, 448pp.
-Hamlyn G. Jones, and Robin A Vaughan, 2010, “Remote Sensing of Vegetation: Principles, Techniques, and Applications”, Oxford University Press, USA, 1 edition, 400pp.
-Editors: Lillesand, Kiefer & Chipman Remote Sensing and Image Interpretation, 5th Edition, 0-471-15227-7 , John Wiley & Sons Publishers, 2003.
Seelye Martin, 2011, “An Introduction to Ocean Remote Sensing”, Cambridge University Press, 476pp.
-Edward M. Mikhail, James Bethel, & Chris McGlone, Introduction to Modern Photogrammetry, 0-471-30924-9, Published by John Wiley & Sons, 2001.
Μηλιαρέσης Χ. Γιώργος «Φωτοερμηνεία -Τηλεπισκόπηση , 2003 εκδόσεις ΙΩΝ.
-Sam J. Purkis and Victor V. Klemas, 2011, “Remote Sensing and Global Environmental Change”, Wiley-Blackwell, 1st edition, 384pp.
-Richards J.A., (1986), “Remote Sensing Digital Image Analysis” Spring Verlag.
-Εγχειρίδια των συστημάτων PC-ERDAS.
Prasad S. Thenkabail, John G. Lyon and Alfredo Huete, 2011, “Hyperspectral Remote Sensing of Vegetation”, CRC Press, 1st edition, 781pp.
– Χατζόπουλος, I. N., (2012), Γεωχωροπληροφορική Τοπογραφία, Εκδόσεις ΤΖΙΟΛΑ, Θεσ/νίκη, 970 σελίδες.

The course is taught in Greek. For exchange students, English literature is proposed and examinations are given in English

Internet Links:



http://www.eurimage.com/ http://www.ucalgary.ca/UofC/faculties/SS/GEOG/Virtual/remoteintro.html












http://www.spot.com http://www.esa.int/esaEO/SEMWNICUHTG_index_0.html https://www.env.aegean.gr/labs/Remote_sensing/Remote_sensing.htm

http://rapidfire.sci.gsfc.nasa.gov/subsets/?subset=Europe_3_03 http://forecast.uoa.gr/gmap/index.php?lat=39.086370096650704&lon=26.560821533203125