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  Course Description
Course Name : Remote Sensing and Agricultural Applications

Course Code : TBB-619

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Prof.Dr. AKIN OĞUZ DİNÇ

Learning Outcomes of the Course : Builds up knowledge on principles of Remote Sensing
Understands satellite data types and performs geographic and radiometric corrections
Is able to perform image enhancement and mathematical calculations
Has knowledge on soil, vegetation and water reflectance charecteristics
Performs different classification techniques on soil vegetation and water
Interprets the results and does accuracy assessment analysis

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : The use of remote sensing for the mapping and monitoring of soil, vegetation and water resources. Selection, processing and classification of satellite data and interpretation. Methodologies used for the mapping of soil, vegetation and water resources and case studies. Field work and accuracy analysis.

Course Contents : Spectral reflectance characteristics of soils, vegetation and water, and histogram analysis. The use and interpretation of different satellite data. Supervised and unsupervised classification techniques. Detailed soil mapping using remote sensing methods and field work. Classification of vegetation acerage and yield estimation. Accuracy estimation, user and classification accuracy kappa statistics

Language of Instruction : Turkish

Work Place : Department of Soil Science and Plant Nutritoin Remote Sensing and GIS Lab.


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Principles of Remote Sensing Pre-reading Lecture, discussions and lab work.
2 Satellites and thier properties Pre-reading Lecture, discussions and lab work.
3 Geographic and Radiometric Correction Pre-reading Lecture, discussions and lab work.
4 İmage enhancement and mathematical calculations Pre-reading Lecture, discussions and lab work.
5 İmage processing/classification Pre-reading Lecture, discussions and lab work.
6 Factors affecting reflections from soils Pre-reading Lecture, discussions and lab work.
7 Factors affecting reflections from vegetation Pre-reading Lecture, discussions and lab work.
8 Factors affecting reflections from water surfaces Pre-reading Lecture, discussions and lab work.
9 Mid-term Exam
10 Unsupervised and supervised classification of soils Pre-reading Lecture, discussions and lab work.
11 Unsupervised and supervisewd classification of vegetation Pre-reading Lecture, discussions and lab work.
12 Unsupervised and supervised classification of water surfaces Pre-reading Lecture, discussions and lab work.
13 Preparation of soil maps Pre-reading Lecture, discussions and lab work.
14 Preparation of vegetation and water surface maps Pre-reading Lecture, discussions and lab work.
15 Accuracy assesment and kappa statistical analysis Pre-reading Lecture, discussions and lab work.
16/17 Final exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  1-2001. Uzaktan Algılamanın Temel Esasları ve Bazı Uygulamaları. Dinç, U., İ. Yeğengil; V. Peştemalcı, A.O. Dinç, H.M. Kandırmaz. Tübitak Bilim Adamı Yetiştirme Grubu, Lisans Üstü Yaz Okulu. 18-23 Haziran Adana. (In Turkish)
 Manual of remote sensing. Volume 2. Interpretation and applications. Colwell, R. N.;U¸laby, F. T.;Simonett, D. S.;Estes, J. E.;Thorley, G. A. 1983 pp. 2440pp. ISBN 0-937294-42-X
 Remote sensing and image interpretation. 2004. Lillesand, T. M.; Kiefer, R. W.; Chipman, J W. + 763 pp
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 50
    Homeworks/Projects/Others 3 50
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Recognising the principles of ecological farming in terms of sustainable and ecological farming, contributes to the practical use. 2
2 Based on the BSc adequacy, improves in Soil Science and Plant Nutrition at specialist level 3
3 Understands the interactions between Soil Science and Plant Nutrition and other disciplines 3
4 Has abilities to develop and apply new ideas by identifying the taxonomic level of soils according to natural and technical classification systems and provides sustainable uses of soils using theoretical and applied knowledge in this branch and applies them to other engineering branches. 3
5 Gain perfection and prepare projects in every kinds of soil, plant, fertilizer and water analyses and their interpretations 1
6 Increases his/her qualification to develop new techniques and ideas for plant nutrients necessary for healthy, high quality and economical plant production and to apply these techniques and ideas in practice. 3
7 Applies his/her knowledge on conservation of soils, protection against each kind of misuse and pollution by recognising the relations between other disciplines. 3
8 To analyse soils, their components or actual processes, to plan them to accomplish the requirements of sustainable agriculture principles by adding information from other branches, plans/applies a new research project which might solve an existing project or makes judgements with existing information 3
9 Has skills to prepare and apply a project including other disciplines and can retrieve information to solve the problems in nutrition of plants grown in every kinds of soil or soilless growth medium 0
10 Creates new projects to use and to develop new technologies, methods and measuring systems in Soil Science and Plant Nutrition discipline, under the scope of scientific, economic and rational uses of agricultural areas 4
11 Conducts a project working effectively as an individual and as a team member to solve problems related to the discipline. 4
12 Identifies the possible and future problems in relation to his/her professional area and takes responsibility to solve them by developing new strategies 4
13 Is able to get access to knowledge searching literature, databases and using other sources effectively. 5
14 Makes a critical evaluation of information retaled to the field and conducts advanced studies independently. 5
15 Transfers the current developments and their own studies to people who may need them by using different tools. 4
16 Analyzes the social relations and the norms directing these relations in a critical way and takes resposibility to improve them. 4
17 Can communicate in English written and orally. 1
18 Develops strategies, policies and application plans in the field and assess the obtained results under the scope of quality processes. 4
19 Is sensitive about scientific and ethical values during the collection, interpretion and announcement of data related to their subject. Is also capable of teaching and checking them. 4
20 Is able to transfer the information and skills to solve a problem in the field to interdisciplinary studies. 4
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 12 3 36
Assesment Related Works
    Homeworks, Projects, Others 3 20 60
    Mid-term Exams (Written, Oral, etc.) 1 1 1
    Final Exam 1 1 1
Total Workload: 140
Total Workload / 25 (h): 5.6
ECTS Credit: 6