Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Remote Sensing and Geographical Information Syst.
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Digital Elevation Models and Applications
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title UCS578 - Digital Elevation Models and Applications
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) PROFESÖR DOKTOR UĞUR AVDAN
Mode of Delivery Distance Learning
Prerequisites There is no prerequities
Courses Recomended • Photogrammetry• Remote sensing
Required or Recommended Resources • Li, Z., 2005. Digital Terrain Modelling: Principles and Methodology, CRC Press, ISBN 0415324629.• Peckham, R.J. and Jordan, G., 2007. Digital Terrain Modelling: Development and Applications in a Policy Support Environment, Springer, ISBN 3-540-36730-6.• Wilson, C.P. and Gallant, J. C., 2000. Terrain analysis: principles and applications, Newyork, Wiley, ISBN 0471321885.
Recommended Reading List • Bola Ayeni & Kayode Julius Samuel (2014) An evaluation of digital elevation modeling in GIS and Cartography, Geo-spatial Information Science, 17:2, 139-144, DOI: 10.1080/10095020.2013.772808• José L. Mesa-Mingorance * and Francisco J. Ariza-López (2020) Accuracy Assessment of Digital Elevation Models (DEMs): A Critical Review of Practices of the Past Three Decades, Remote Sensing, doi:10.3390/rs12162630• Eric Galin, Eric Guérin, Adrien Peytavie, Guillaume Cordonnier, Marie-Paule Cani, et al.. A Review of Digital Terrain Modeling. Computer Graphics Forum, Wiley, 2019, 38 (2), pp.553-577. 10.1111/cgf.13657
Assessment methods and criteria 2 midterms, 1 final exam
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction: Representation of Digital Elevation Models, Digital Elevation Models, Digital Elevation Modeling
Week - 2 Height Descriptors and Sampling Strategies
Week - 3 Digital Elevation Model Source Data Collection Methods: Photogrammetry, Radargrammetry and SAR Interferometry
Week - 4 Digital Elevation Model Source Data Collection Methods: Air Laser Scanning (LIDAR)
Week - 5 Digital Surface Modeling: Digital Surface Modeling Approaches
Week - 6 Digital Surface Modeling: Continuity of Digital Elevation Model Surfaces
Week - 7 Digital Surface Modeling: Triangle Mesh for Surface Modeling, Grid Mesh for Surface Modeling
Week - 8 Quality Control in Elevation Data Generation
Week - 9 Accuracy of Digital Elevation Models
Week - 10 Visualization of Digital Elevation Models
Week - 11 Interpretation of Digital Elevation Models
Week - 12 Digital Elevation Models Application Areas
Week - 13 Digital Elevation Model Sample Application
Week - 14 Digital Elevation Model Sample Application

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Observation
  • Team/Group Work
  • Demonstration
  • Experiment
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Proje Design/Management
  • Competences
  • Productive
  • True to core values
  • Rational
  • Questoning
  • Follow ethical and moral rules
  • Effective use of Turkish
  • Work in teams
  • Use time effectively
  • Eleştirel düşünebilme
  • Problem solving
  • Concern for quality
  • Information Management
  • To work autonomously
  • To work in interdisciplinary projects
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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