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Syllabus ( ESC 529 )


   Basic information
Course title: Modern Mapping Techniques in Earth Sciences
Course code: ESC 529
Lecturer: Assoc. Prof. Dr. Mehmet Korhan Erturaç
ECTS credits: 7.5
GTU credits: 3 (3+0+0)
Year, Semester: 1-2, Fall and Spring
Level of course: Second Cycle (Master's)
Type of course: Area Elective
Language of instruction: English
Mode of delivery: Face to face , Lab work
Pre- and co-requisites: none
Professional practice: No
Purpose of the course: This course will detail the properties and applications to the contemporary earth science mapping with the help of remotely sensed data, such as satellite imagery, digital elevation models, air-borne photogrammetry systems and products from SfM analysis.
   Learning outcomes Up

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

  1. Explain and apply the basic level of knowledge about the current status and applications of modern Mapping techniques.

    Contribution to Program Outcomes

    1. Define and manipulate different perspectives by synthesizing advanced Earth and Marine Sciences concepts theoretically and practically
    2. Providing students with a strong engineering qualification that will assist in problem solving and decision making and provide lifetime learning
    3. To become skillful to solve the problems encountered in the field
    4. Integrating the knowledge gained in the domain combined with information from different disciplines and creating new information
    5. To take part in projects that require interdisciplinary and international interaction
    6. To develop the knowledge of using different technical and modern tools and software for applications in the field
    7. Producing methods to improve existing knowledge
    8. To be able to defend the research findings in seminars and conferences
    9. To evaluate the important people, events and facts in the development of the field in terms of their effects on the applications of the field
    10. To use the knowledge and problem solving skills adopted in the field in interdisciplinary studies

    Method of assessment

    1. Written exam
    2. Laboratory exercise/exam
  2. Obtain information on different equipment and platforms related to Digital photogrammetry applications and interpret sample datasets.

    Contribution to Program Outcomes

    1. Define and manipulate different perspectives by synthesizing advanced Earth and Marine Sciences concepts theoretically and practically
    2. Providing students with a strong engineering qualification that will assist in problem solving and decision making and provide lifetime learning
    3. Integrating the knowledge gained in the domain combined with information from different disciplines and creating new information
    4. To be able to manage a scientific study that requires expertise in the field independently
    5. To take part in projects that require interdisciplinary and international interaction
    6. To develop the knowledge of using different technical and modern tools and software for applications in the field
    7. Producing methods to improve existing knowledge
    8. To be able to defend the research findings in seminars and conferences
    9. To use the knowledge and problem solving skills adopted in the field in interdisciplinary studies
    10. To adopt these values ​​by considering the social, scientific, cultural and ethical values ​​in the stages of data collection, interpretation, application and declaration by doing field studies related to the field

    Method of assessment

    1. Written exam
    2. Laboratory exercise/exam
  3. Application of modern map techniques as a solution to contemporary earth science problems

    Contribution to Program Outcomes

    1. Define and manipulate different perspectives by synthesizing advanced Earth and Marine Sciences concepts theoretically and practically
    2. Providing students with a strong engineering qualification that will assist in problem solving and decision making and provide lifetime learning
    3. To become skillful to solve the problems encountered in the field
    4. Integrating the knowledge gained in the domain combined with information from different disciplines and creating new information
    5. To take part in projects that require interdisciplinary and international interaction
    6. To develop the knowledge of using different technical and modern tools and software for applications in the field
    7. Producing methods to improve existing knowledge
    8. Supporting their ideas with different references and presenting them clearly and informally to a group of listeners by using various techniques
    9. To be able to defend the research findings in seminars and conferences
    10. To evaluate the important people, events and facts in the development of the field in terms of their effects on the applications of the field
    11. To use the knowledge and problem solving skills adopted in the field in interdisciplinary studies

    Method of assessment

    1. Laboratory exercise/exam
   Contents Up
Week 1: Fundamentals of remote sensing and digital mapping techniques
Week 2: Imaging satellite systems and sensors-1: Worldwide applications and earth system science applications
Week 3: Imaging satellite systems and sensors-2: High resolution local applications
Week 4: Digital Mapping-1: GIS and data distribution server systems
Week 5: Digital Mapping-2: applications of analogue to near real time satellite imagery
Week 6: Digital Mapping-3: Digital Elevation Models
Week 7: Fundamentals and recent developments of Digital Photogrametry
Week 8: Midterm Exam - Low-High Altitude Aerial Photogrammetry Systems
Week 9: SfM Analysis of Digital Aerial Photographs and products
Week 10: Project- Pix4D mapper software and sample application
Week 11: Project- Earth-science applications-1: Long term mapping of environmental change
Week 12: Project- Earth-science applications-2: High resolution mapping of earth structures
Week 13: Project- Earth-science applications-3: Morphometric applications in river basins
Week 14: Project- Earthscience applications-4: Mapping and analysis of Long-term coastline changes
Week 15*: *
Week 16*: Final exam
Textbooks and materials: Linder, W. (2013). Digital photogrammetry: theory and applications. Springer Science & Business Media.
Chuvieco, E. (2016). Fundamentals of satellite remote sensing: An environmental approach. CRC press.
Chandler, J. (1999). Effective application of automated digital photogrammetry for geomorphological research. Earth surface processes and landforms, 24(1), 51-63.
Woodget, A. S., Austrums, R., Maddock, I. P., & Habit, E. (2017). Drones and digital photogrammetry: from classifications to continuums for monitoring river habitat and hydromorphology. Wiley Interdisciplinary Reviews: Water, 4(4), e1222.
Hayakawa, Y. S., Oguchi, T., & Lin, Z. (2008). Comparison of new and existing global digital elevation models: ASTER G-DEM and SRTM-3. Geophysical Research Letters, 35(17).
Recommended readings: Farr, T. G., et al. (2007), The Shuttle Radar Topography Mission,Rev.Geophys.,45, RG2004, doi:10.1029/2005RG000183.
Guth, P. (2006), Geomorphometry from SRTM: Comparison to NED, Photogramm. Eng. Remote Sens.,72, 269–277.
Lane,S.N.(1998).`The use of digital terrain modelling in the understanding of dynamic river channel systems',in Lane,S.N.,Richards, K.S.and ChandlerJ.H.(Eds),Landform Monitoring,Modelling and Analysis,Wiley,Chichester,311±342.
Micheletti, N., Chandler, J.H., Lane, S.N. (2015). Section 2.2.2: Structure from Motion (SfM) Photogrammetry In: Cook, S.J., Clarke, L.E. & Nield, J.M. (Eds.) Geomorphological Techniques (Online Edition). British Society for Geomorphology; London, UK. ISSN: 2047-0371.
Westoby, M. J., Brasington, J., Glasser, N. F., Hambrey, M. J., & Reynolds, J. M. (2012). ‘Structure-from-Motion’photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, 179, 300-314. https://doi.org/10.1016/j.geomorph.2012.08.021
  * 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 20
Other in-term studies: 0
Project: 10-11-12-13-14 40
Homework: 0
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: 5 12
Practice, Recitation: 0 0
Homework: 0 0
Term project: 6 4
Term project presentation: 0 0
Quiz: 0 0
Own study for mid-term exam: 10 3
Mid-term: 2 1
Personal studies for final exam: 10 3
Final exam: 2 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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