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Syllabus ( GEOD 563 )

   Basic information
Course title: Unmanned Air Vehicle technology in Geomatics Engineering
Course code: GEOD 563
Lecturer: Prof. Dr. Umut Güneş SEFERCİK
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: Turkish
Mode of delivery: Face to face
Pre- and co-requisites: none
Professional practice: No
Purpose of the course: To give information about the definition, history and development of the unmanned aerial vehicle (UAV). To define the place of UAV in mapping measurement methods. To provide information on the legal status of UAV, no-fly zones and meteorological requirements. To give information about flight geometry, principles, dynamics and flight planning. To share UAV types, equipment and axial information. To convey information about ATC methods, aviation fresiology and avionics systems. To explain geometric orientation processes of aerial photos. To realize dense point cloud, orthophoto, orthomosaic, digital surface and terrain model generation with applications on sample data. To make visual and statistical accuracy analysis of final products produced with UAV data. To raise awareness about UAV maintenance and repair information.
   Learning outcomes Up

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

  1. Identify unmanned aerial technology

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts of Geodesy and Photogrammetry Engineering
    2. Acquire scientific knowledge
    3. Develop an awareness of continuous learning in relation with modern technology

    Method of assessment

    1. Written exam
  2. Explain the use of unmanned aerial vehicles in mapping

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts of Geodesy and Photogrammetry Engineering
    2. Acquire scientific knowledge
    3. Develop an awareness of continuous learning in relation with modern technology

    Method of assessment

    1. Written exam
  3. IApply geometric orientation and processing of aerial photos

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts of Geodesy and Photogrammetry Engineering
    2. Recognize, analyze and solve engineering problems in surveying, planning, GIS and remote sensing fields
    3. Operate modern equipments and hardwares, and use related technical skills in the field of Geodesy and Photogrammetry Engineering.
    4. Acquire scientific knowledge
    5. Develop an awareness of continuous learning in relation with modern technology

    Method of assessment

    1. Written exam
  4. Conduct dense point cloud, orthophoto, orthomosic, texture, mesh generation

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts of Geodesy and Photogrammetry Engineering
    2. Operate modern equipments and hardwares, and use related technical skills in the field of Geodesy and Photogrammetry Engineering.
    3. Acquire scientific knowledge
    4. Develop an awareness of continuous learning in relation with modern technology

    Method of assessment

    1. Written exam
  5. Perform digital surface and terrain model generation

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts of Geodesy and Photogrammetry Engineering
    2. Operate modern equipments and hardwares, and use related technical skills in the field of Geodesy and Photogrammetry Engineering.
    3. Acquire scientific knowledge
    4. Develop an awareness of continuous learning in relation with modern technology

    Method of assessment

    1. Written exam
   Contents Up
Week 1: Introduction, scope of the course, concepts, general definitions, resources
Week 2: The history of UAV technology, its development up to date and its place among the mapping measurement technologies
Week 3: Legal status of UAV technology
Week 4: UAV types, equipment and axial information
Week 5: Information about flight geometry, principles and dynamics, preparing a flight plan
Week 6: ATC procedures and aviation physiology
Week 7: ITKI systems and avionics systems
Week 8: Midterm Exam - UAV aerial photography features, an overview of SFM-based new generation cloud mapping software and geometric orientation processes
Week 9: Dense point cloud, orthophoto, orthomosic, digital surface and terrain model generation methods and texture and mesh concepts
Week 10: Interpretation of final products produced with UAV data, visual and statistical accuracy analysis
Week 11: UAV maintenance and repair information
Week 12: UAV flight training on the on-campus sample site
Week 13: UAV data acquisition and evaluation at the on-campus sample site
Week 14: UAV data acquisition and evaluation at the on-campus sample site (continue)
Week 15*: -
Week 16*: Final Exam
Textbooks and materials: Ders sunumları, dersle ilgili yazılı ve internet ortamındaki kaynaklar, örnek projeler
Recommended readings: 1. Unmanned Aircraft Systems, Ella Atkins, Anibal Ollero, Antonios Tsourdos, WILEY, ISBN 978-1-118-866-45-0, (2016)
2. Unmanned Aerial Vehicle Mapping for Settlement Upgrading, Caroline Gevaert, University of Twente, 2019
3. İnsansız Hava Araçları ve Yer Bilimleri, Semih Sami Akay, Gece Akademi, 9786052887554, 2019
  * 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 40
Other in-term studies: 0
Project: 0
Homework: 0
Quiz: 0
Final exam: 16 60
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 3 15
Own studies outside class: 7 15
Practice, Recitation: 0 0
Homework: 0 0
Term project: 0 0
Term project presentation: 0 0
Quiz: 0 0
Own study for mid-term exam: 3 6
Mid-term: 2 1
Personal studies for final exam: 3 6
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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