Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Remote Sensing In Forestry OM305 Turkish Compulsory 5. Semester 2 + 1 3.0 4.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Oral
Course Coordinator Prof. Dr. Abdurrahim AYDIN
Instructor(s) Öğr. Gör. Dr. Ece ALKAN (Güz)
Goals How to use remote sensing in forestry.
Course Content Introduction to remote sensing, basics and components of remote sensing, data sources, Electromagnetic spectrum, aerial photos and films, gliding and covering ratios of aerial photos, planning of flying time, 3D views and effective area in aerial photos, photo interpretation, certain measurements over aerial photos, satellites, resolution in satellite images,Pretreatment of images, processing of images and classifications of images, data modification and analysis
Learning Outcomes
# Öğrenme Kazanımı
1 The development and basics of remote sensing, aerial photographs, electro-magnetic spectrum.
2 Sensing systems, satellites, satellite for research of natural resources , applications of satellite-views in forestry
3 Be able to classify land use from satellite images
4 They will have information about Unmanned Aerial Vehicles and Close Range Photogrammetry
5 Be able to take images by making flight plans
6 Be able to produce Orthoimage and Digital Terrain Mode
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Uzaktan algılamanın tanımı, temel ilke ve öğeleri. Veri kaynakları. Uzaktan Algılama sistemleri. Uzaktan algılamanın ormancılıktaki önemi. Research Preparation, After Class Study Practice Other Activities Presentation (Preparation) Interview Class Hours
2. Week Electromanietic Radiation (EMR) and Electromanietic Spectrum (EMS) Class Hours Preparation, After Class Study Interview Practice Presentation (Preparation) Other Activities Research
3. Week Four types of resolution in RS Other Activities Interview Presentation (Preparation) Practice Preparation, After Class Study Class Hours Research
4. Week Satellites and Land Observation Satellites Preparation, After Class Study Interview Research Other Activities Class Hours Presentation (Preparation) Practice
5. Week Geometric correction, subset and mosaic in satellite imageries Research Other Activities Preparation, After Class Study Interview Class Hours Presentation (Preparation) Practice
6. Week Image enhancement and band arithmetics Interview Practice Presentation (Preparation) Research Preparation, After Class Study Class Hours Other Activities
7. Week Image classification_Unsupervised Research Interview Presentation (Preparation) Preparation, After Class Study Other Activities Practice Class Hours
8. Week Image classification_Supervised Preparation, After Class Study Class Hours Other Activities Presentation (Preparation) Research Interview Practice
9. Week Introduction to photogrammetry Preparation, After Class Study Practice Class Hours Interview Presentation (Preparation) Other Activities Research
10. Week Close-range photogrammetry Interview Class Hours Preparation, After Class Study Research Practice Presentation (Preparation) Other Activities
11. Week Unmanned Aerial Systems, components and working principles Research Practice Preparation, After Class Study Interview Other Activities Presentation (Preparation) Class Hours
12. Week Flight Planning Interview Practice Fieldwork Presentation (Preparation) Research Class Hours
13. Week Generating orthoimage and Digital Elevation Model Preparation, After Class Study Research Other Activities Interview Presentation (Preparation) Practice Class Hours
14. Week RS data and GIS integration Presentation (Preparation) Class Hours Research Preparation, After Class Study Interview Other Activities Practice
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Understanding of sustainable resource use
2 Essential knowledge of flora, fauna, ecosystem and natural resource concerning forestry
3 Essential knowledge about the administrative and legal structure, policy-making and planning processes, supply-demand relations, socio-economic situation concerning forest resources of Turkey
4 Competence in defining, modelling and solving a problem concerning the field of forestry
5 Skill of using contemporary techniques and instruments needed for forestry practices
6 Skill of applying the knowledge of mathematics, science and engineering in forestry problems
7 Skill of designing and conducting experiments, analyzing the data, and interpreting the results
8 Skill of team-work within the forestry discipline as well as with other disciplines
9 Adequate knowledge and skill of foreign language to follow the facts and developments concerning forestry
10 Skill of effective verbal and written communication
11 Competence in taking initiative and acting independently
12 Knowledge and consciousness of quality
13 Consciousness of life-time learning
14 Consciousness of professional ethics and social responsibility
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6
PY1 1 2 2 2 2 2
PY2 1 1 1 1 1 1
PY3 1 1 1 1 1 1
PY4 3 3 3 3 3 3
PY5 4 4 4 4 4 4
PY6 3 3 3 3 3 3
PY7 4 4 4 4 4 4
PY8 2 2 2 2 2 2
PY9 1 1 1 1 1 1
PY10 1 1 1 1 1 1
PY11 1 1 1 1 1 1
PY12 2 2 2 2 2 2
PY13 1 1 1 1 1 1
PY14 1 1 1 1 1 1
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 2 28
Ders Dışı
Preparation, After Class Study 5 2 10
Research 3 2 6
Presentation (Preparation) 1 1 1
Fieldwork 2 3 6
Practice 14 2 28
Other Activities 2 1 2
Sınavlar
Midterm 1 1 1 1
Homework 1 3 2 6
Homework 2 2 3 6
Quiz 1 1 1 1
Final 1 2 2
Practice 1 5 5
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0