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
  • Department of Advanced Technologies
  • (Non-Thesis) Master of Science (MS) Degree
  • Program in Documenting Cultural Heritage
  • Course Structure Diagram with Credits
  • Terresterial Photogrammetry and Laser Scanning
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title BEL501 - Terresterial Photogrammetry and Laser Scanning
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 2+2
ECTS 7.5
Course Instructor(s) PROFESÖR ALPER ÇABUK
Mode of Delivery Application and theric
Prerequisites There is no prerequisities
Courses Recomended Analyses and Interpretation Techniques in Geographical Information Systems
Recommended Reading List Chavez, P.S., 1988. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment 24, 459–479 Levin N. (1999), Modtran 3 Hebrew Manual, a manual written in Hebrew concerning the use of the Modtran atmospheric model for the atmospheric correction of satellite images (in Hebrew) Smith, J. A., Tzeu, L. L., and Ranson, K. J., 1980, The Lambertian assumption and Landsat data. Photogrammetric Engineering and Remote Sensing, 46, 1183-1189. Benz, U.C., Hofmann, P., Willhauck, G., Lingenfelder, I., Heynen, M. 2004. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry & Remote Sensing 58, 23-258. Asner, G.P. and Lobell D.B., 2000, A biogeophysical approach for automated SWIR unmixing of soils and vegetation. Remote Sensing of Environment, 74, 99-112 Levin, N., Lugassi, R., Ramon U., Braun O. and Ben-Dor E, (2007) “Remote sensing as a tool for monitoring plasticulture in agricultural landscapes”, International Journal of Remote Sensing, 28 (1), pp. 183-202.
Assessment methods and criteria Homework and examination
Work Placement ---
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Basic terms
Week - 2 Ecological thinking
Week - 3 Ecological design and planning
Week - 4 Resource analyses
Week - 5 Resource inventory and analyses examples
Week - 6 Resource inventory
Week - 7 Resource analyses
Week - 8 Computer Use in Resource Inventory and Analyses
Week - 9 Use of Geodesy Techniques in Resource Inventory and Analyses
Week - 10 Use of Geographical Information System in Resource Inventory and Analyses
Week - 11 Use of Remote Sensing in Resource Inventory and Analyses
Week - 12 Application
Week - 13 Application
Week - 14 Final examination

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Team/Group Work
  • Drill - Practise
  • Case Study
  • Brain Storming
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Role Playing/Dramatization
  • Competences
  • Productive
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Civic awareness
  • Environmental awareness
  • Work in teams
  • Eleştirel düşünebilme
  • Problem solving
  • Information Management
  • Organization and planning
  • Project Design and Management

Assessment Methods

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