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Contents
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| Week 1: |
Advance classification techniques used to classifing remotely sensed images |
| Week 2: |
Automatically monitoring catchment area and structuring in this area using satellite images |
| Week 3: |
The use of remote sensing in environmental pollution |
| Week 4: |
Analysis of urbanization effects on environment |
| Week 5: |
Analysis of deforestation and/or natural changes in forest areas |
| Week 6: |
Monitoring of coastal areas and water pollution, Soil, water and forest analysis using radar images |
| Week 7: |
Monitoring of marine pollution using radar images |
| Week 8: |
Midterm Exam, Radiometric problems and error sources in radar images |
| Week 9: |
Crop yield estimation using remotely sensed images |
| Week 10: |
Geological applications using satellite images |
| Week 11: |
Integration of Remote sensing and geographical information systems |
| Week 12: |
Hyperspectral image analysis |
| Week 13: |
Extracting Texture information in classification |
| Week 14: |
The use of satellite images in urbanization, planning and infrastructure applications. Submission of the project report and make oral presentation. |
| Week 15*: |
. |
| Week 16*: |
Final exam |
| Textbooks and materials: |
Mather, P. M., 1999, Computer processing of remotely-sensed images: an introduction: Chichester, John Wiley. |
| Recommended readings: |
Jensen, J. R., 1996, Introductory digital image processing - a remote sensing perspective: London, Prentice Hall.
Lillesand, T. M., and R. W. Kiefer, 1994, Remote sensing and image interpretation: New York, John Wiley & Sons.
Campbell, J. B., 1987, Introduction to remote sensing: London, The Guilford Press.
Maktav, D. ve Sunar, F., 1991, Uzaktan algılama, kantitatif yaklaşım: İstanbul, Hürriyet Ofset A.Ş.
Barrett, E.C., and Curtis, L.F., 1999, An introduction to environmental remote sensing, Routledge.
Congalton, R.G., and Green, K., 1998, Assessing the accuracy of remotely sensed data: principles and practices, Lewis Publishers. |
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* Between 15th and 16th weeks is there a free week for students to prepare for final exam.
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