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| ORM7373 | Remote Sensing in Forestry | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of FOREST ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Lab work , Practical | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Mehmet MISIR | | Co-Lecturer | Prof. Dr. Selahattin KÖSE | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Introducing remote sensing techniques like arial photographs and space imaginary used in forestry, and explicating related issues. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Define and explain the importance of Remote Sensing and photo interpretation as applied to forest resource management, basic principles of remote sensing, the electromagnetic spectrum. | 1 | 1 | | PO - 2 : | Appoint and characterize stand types on areal photos | 9,10 | 1 | | PO - 3 : | Explain satellites, sensors, image processing, interpretation, correction, True color view, false color view, classification, filtering. | 4,6,7,8,9 | 1 | | PO - 4 : | Classify a satellite image with ERDAS Imagine | 7,9,12 | 4 | | PO - 5 : | Develop and present a case study results to the class using real time exercise of ERDAS Imagine software | 10,11 | 4 | | 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), PO : Learning Outcome | | |
| Definition of remote sensing. Remote sensing systems. Image-photograph difference. Ortophoto. Stereoscopic vision applications. Earth resource satellites. Multispectral scanners. Thermal scanners. Termography. Microwave sensing. Digital image processing. Comparison of aerial and satellite photographs, forest inventory, forest management, silviculture, afforestation, forest protection, forest law, cartography, landscape architecture and geographical information systems. |
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| 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 | 3-D vision and the effective area of aerial photo | | | Week 4 | Definition of Tree species on Aerial photo | | | Week 5 | Measurement of tree height, Measurement of crown size and determination of crown closure | | | Week 6 | Definitİon of stand types on aerial photo | | | Week 7 | Satellites, natural resources satellites , resolution satellite imagery | | | Week 8 | Landsat, Spot and Quickbird satellites general features of the application areas | | | Week 9 | Mid-term exam | | | Week 10 | Bilsat, Ikonos and IRS/ERS satellites general features of the application areas | | | Week 11 | Image Preprocessing, image processing | | | Week 12 | classification on satellite imagery and practicum exam | | | Week 13 | Image Preprocessing, image classification and image processing on satellite imagery with ERDAS Imagine | | | Week 14 | Student presentations | | | 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 | Musaoğlu, N., 1999. Elektro-Optik ve Aktif Mikrodalga Algılayıcılardan Elde EdilenUydu Verilerinden Orman Alanlarında Meşcere Tiplerinin ve Yetişme OrtamıBirimlerinin Belirlenme Olanakları, Doktora Tezi, İ.T.Ü., Fen Bilimleri Enstitüsü, İstanbul. | | | 3 | Jensen, J.R., 1996. Introductory Digital Image Processing: A Remote Sensing Perspective, Prentice Hall Inc., USA. | | | 4 | ERDAS, 1982-2004, ERDAS Field Guide. 6 th Edition, Atlanta, Georgia. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 17/11/2016 | 1 | 30 | | Laboratory exam | 12 | 08/12/2016 | 1 | 10 | | Presentation | 14 | 22/12/2016 | 1 | 10 | | End-of-term exam | 16 | 11/01/2017 | 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 | 3 | 10 | 30 | | Sınıf dışı çalışma | 0 | 0 | 0 | | Laboratuar çalışması | 3 | 5 | 15 | | Arasınav için hazırlık | 5 | 7 | 35 | | Arasınav | 1 | 2 | 2 | | Uygulama | 3 | 6 | 18 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 10 | 3 | 30 | | Proje | 3 | 3 | 9 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 10 | 2 | 20 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 3 | 3 | 9 | | Diğer 2 | 4 | 5 | 20 | | Total work load | | | 190 |
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