|
|
| PEM3009 | Information System in Landscape Planning | 2+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of LANDSCAPE ARCHITECTURE | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Lab work , Practical | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Prof. Dr. Hilal TURGUT | | Co-Lecturer | Prof. Dr. Selahattin KÖSE | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Objectives of the CourseTo teach students aerial photographs used in landscape architectur |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Define and explain the importance of Remote Sensing and photo interpretation as applied to forest resource management, history of remote sensing, basic principles of remote sensing, the electromagnetic spectrum. | 1,2,4,5 | 1 | | LO - 2 : | Appoint and characterize stand types on areal photos | 1,2,4 | 1,4 | | LO - 3 : | Explain satellites, sensors, image processing, interpretation, correction, True color view, false color view, classification, filtering. | 1,2,3,4,5,9,10 | 1 | | LO - 4 : | Classify a satellite image with ERDAS Imagine. | 3,9,10 | 1,4 | | LO - 5 : | Develop and present a case study results to the class using real time exercise of ERDAS Imagine software | 3,4,7,9,10 | 5 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Contents of the CourseRemote sensing. Aerial photographs used in landscape architecture. 3D vision with aerial photographs. Interpreting of aerial photos used in urban, coast, and rural areas. Using different satellite images in landscape architecture. |
| |
| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Description of Remote Sensing, History, Data Sources, Remote Sensing Systems
| | | Week 2 | Electromagnetic Spectrum, Film, Photograph, Aerial Photo, Film types used in airal photo
| | | Week 3 | Shift in aerial photographs, Preparing of the Flight Plan, Overlap rate
| | | Week 4 | Scale, flight altitude and the various calculations on aerial photo
| | | Week 5 | Factors affecting photo interpretation
| | | Week 6 | 3-D vision and the effective area of aerial photo
| | | Week 7 | Measurement of tree height, Measurement of crown size and determination of crown closure
| | | Week 8 | Definitİon of tree species and stand types on aerial photo
| | | Week 9 | Mid-term exam | | | Week 10 | Satellites, natural resources satellites , resolution satellite imagery
| | | Week 11 | Landsat, Spot and Quickbird satellites general features of the application areas
| | | Week 12 | Bilsat, Ikonos and IRS/ERS satellites general features of the application areas
| | | Week 13 | Image Preprocessing, image processing, classification on satellite imagery
| | | Week 14 | Image Preprocessing and image processing on satellite imagery with ERDAS Imagine
| | | Week 15 | Image clasification with ERDAS Imagine
| | | Week 16 | End-of-term exam | | | |
| 1 | Köse, S., Cömert, Ç. 1999, Ormancılıkta Foto Yorumlama, Orman Fakültesi Yayınları, No:1, Artvin. | | | 2 | Soykan, B. 1986, Ormancılıkta Foto Yorumlama, KTÜ Orman Fakültesi, Yayın No: 9, Trabzon. | | | |
| 1 | Sesören, A., 1999. Uzaktan Algılamada Temel Kavramlar. Mart Matbaacılık Sanatları,
İstanbul.
| | | 2 | Lillesand T.M. ve Kiefer R.W., 2001. Remote Sensing and Image Interpretation. Fourth
Edition, John Wiley & Sons Inc., New York,
| | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 2014 | 1 | 30 | | Laboratory exam | 12 | 2014 | 1 | 10 | | Presentation | 14 | 2014 | 2 | 10 | | End-of-term exam | 16 | 2014 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 1.4 | 12 | 16.8 | | Sınıf dışı çalışma | 1 | 12 | 12 | | Laboratuar çalışması | 2 | 4 | 8 | | Arasınav için hazırlık | 5 | 2 | 10 | | Arasınav | 1 | 1 | 1 | | Uygulama | 2 | 4 | 8 | | Ödev | 4 | 3 | 12 | | Dönem sonu sınavı için hazırlık | 7 | 1 | 7 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 75.8 |
|