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Syllabus ( GEOD 642 )


   Basic information
Course title: Use of InSAR Method in Monitoring of Crustal Movements
Course code: GEOD 642
Lecturer: Prof. Dr. Cemal Özer YİĞİT
ECTS credits: 7.5
GTU credits: 3 (3+0+0)
Year, Semester: 1/2, Fall and Spring
Level of course: Third Cycle (Doctoral)
Type of course: Departmental Elective
Language of instruction: Turkish
Mode of delivery: Face to face , Lab work
Pre- and co-requisites: none
Professional practice: No
Purpose of the course: The main objective of this course, InSAR, DInSAR and PS-InSAR techniques for use in monitoring the deformation of the earth's crust is to teach students
   Learning outcomes Up

Upon successful completion of this course, students will be able to:

  1. explain the basics of InSAR, DInSAR and PS-InSAR methods for deformation monitoring.

    Contribution to Program Outcomes

    1. Define and apply advanced concepts of Geodetic and Photogrammetric Engineering
    2. Design and apply practices in a special field of Geodetic and Photogrammetric Engineering, and evaluate the results with scientific methods by using collected data
    3. Gain capacity and effectively use computer softwares in a special field of Geodetic and Photogrammetric Engineering

    Method of assessment

    1. Written exam
    2. Homework assignment
  2. gain the ability to monitor earth crust deformation using DInSAR and PS-InSAR methods.

    Contribution to Program Outcomes

    1. Define and apply advanced concepts of Geodetic and Photogrammetric Engineering
    2. Develop an innovative method, approach, design and/or practice in Geodetic and Photogrammetric Engineering.
    3. Design and apply practices in a special field of Geodetic and Photogrammetric Engineering, and evaluate the results with scientific methods by using collected data
    4. Independently carry out and report a project in a special field of Geodetic and Photogrammetric Engineering
    5. Gain capacity and effectively use computer softwares in a special field of Geodetic and Photogrammetric Engineering

    Method of assessment

    1. Written exam
    2. Homework assignment
  3. process SAR images using scientific software and to execute projects.

    Contribution to Program Outcomes

    1. Define and apply advanced concepts of Geodetic and Photogrammetric Engineering
    2. Design and apply practices in a special field of Geodetic and Photogrammetric Engineering, and evaluate the results with scientific methods by using collected data
    3. Gain skills to drive multi discipliner teamwork
    4. Independently carry out and report a project in a special field of Geodetic and Photogrammetric Engineering
    5. Develop an understanding of professional and ethic responsibilities

    Method of assessment

    1. Written exam
    2. Homework assignment
   Contents Up
Week 1: Fundamental concepts of SAR
Week 2: Existing SAR satellite systems and its technical specifications
Week 3: InSAR technique
Week 4: Single pass InSAR technique, SRTM project and its products
Week 5: Two pass InSAR technique and DEM production
Week 6: DInSAR concept
Week 7: Monitoring of Earth crust with DInSAR
Week 8: Midterm exam
Week 9: PS-InSAR technique and determination of subsidence and uplift at urbans
Week 10: PS-InSAR with corner reflectors (monitoring subsidence at countryside and monitoring of landslide
Week 11: Transponder InSAR techniques
Week 12: InSAR, DInSAR and PS-InSAR softwares
Week 13: Flowchart of interferogram production using ESA-NEST software
Week 14: Flowchart of interferogram production using DORIS software
Week 15*: General review
Week 16*: Final exam
Textbooks and materials:
Recommended readings: • Colesanti C., Ferretti A., Prati C., Rocca F., (2003) Monitoring landslides and tectonic motions with the Permanent Scatterers Technique. Engineering Geology, 68:3 –14
• F, W., Guo H., Tian Q., Guo X. (2010) Landslide Monitoring by Corner Reflectors Differantial Interferometry SAR, Internatinal Journal of Remote Sensing, 31, 6387-640
• Farina P., Colombo D., Fumagalli A., Marks F., Moretti S. (2006) Permanent scatterers for landslide investigations: outcomes from the ESA-SLAM Project, Engineering Geology 88:200-217
• Hanssen R. (2001) Radar interferometry: data interpretation and error analysis, Kluwer Academic Publication, The Netherland
• Hein A. (2004) Processing of SAR Data: Fundamentals, Signal Processing, Interferometry, Springer
• Kampes M. (2006) Radar Interferometry: Persistent Scatterer Technique, Remote Sensing and Digital Image Processing, Springer
• Lauknes T.R., Piyush Shanker A., Dehls J.F., Zebker H.A., Henderson I.H.C., Larsen Y. (2010) Detailed Rockslide Mapping in Northern Norway with Small Baseline and Persistent Scatter Interferometric SAR Time Series Methods, Remote Sensing of Environment, 114:2097-2109
• Li C., Yin, J., Zhao J., Zhang G., Shan X. (2012) The Selection of Artifical Corner Reflectors Based on RCS Analysis, Acta Geophysica, 60, 43-58, doi: 10.2478/s11600-011-0060-y
• Perski Z., Hanssen R., Wojcik A., Wojciechowski T. (2009) InSAR analyses of terrain deformation near the Wieliczka Salt Mine, Polan, Engineering Geology, 106:58-67
• Samsonov S., Tiampo K., Gonzalez P.J., Manville V., Jolly G. (2010) Ground Deformation Occuring in the City of Auckland, New Zealand, and Observed by Envisat Interferometric Syntetic Aperture Radar During 2003-2007, Journal of Geophysical Research, 115, B08410, doi:10.1029/2009JB006806,
• Sousa J.J., Ruiz A.M., Hanssen R.F., Bastos L, Gil A.J., Galindo-Zaldívar J., Sanz de Galdeano C. (2010) PS-InSAR processing methodologies in the detection of field surface deformation—Study of the Granada basin (Central Betic Cordilleras, southern Spain), Journal of Geodynamics 49:181–189,
• Ye X., Kaufmann H., Guo X.F. (2004) Landslide Monitoring in the Three Gorges Area Using D-INSAR and Corner Reflectors, Photogrammetric Engineering & Remote Sensing, 70:1167-1172
• Zerbini S., Richter B., Rocca F., Dam T.V., Matonti F. (2007) A Combination of Space and Terrestrial Geodetic Techniques to Monitor Land Subsidence: Case Study, the Southeastern Po Plain, Italy, Journal of Geophysical Research, 112, B05401, doi:10.1029/2004JB003395
  * Between 15th and 16th weeks is there a free week for students to prepare for final exam.
Assessment Up
Method of assessment Week number Weight (%)
Mid-terms: 8 30
Other in-term studies: 0
Project: 0
Homework: 3 30
Quiz: 0
Final exam: 16 40
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 3 14
Own studies outside class: 3 14
Practice, Recitation: 0 0
Homework: 6 11
Term project: 0 0
Term project presentation: 0 0
Quiz: 0 0
Own study for mid-term exam: 3 3
Mid-term: 3 1
Personal studies for final exam: 6 3
Final exam: 3 1
    Total workload:
    Total ECTS credits:
*
  * ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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