Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
TBBB-101AGRICULTURAL APPLICATIONS OF REMOTE SENSINGElective126
Level of Course Unit
Second Cycle
Objectives of the Course
In this course, students will ensure the use capability of remote sensing methodology for agricultural applications
Name of Lecturer(s)
Yrd. Doç. Dr. Uğur ŞİMŞEK
Learning Outcomes
1Selecting to satellite data according to research purpose
2Photo interpretation of satellite data
3Classification of basic types of earth features
4Classification of plant types and soil types
Mode of Delivery
Daytime Class
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Fundamental principles of remote sensing, properties of digital satellite data (IKONOS, ASTER, SPOT, NOAA and LANDSAT), the selection of satellite data for agricultural application, use of global position systems (GPS) to remote sensing applications, spectral reflection characteristics of soils and certain crops, suitable methodology and image classification methods, calibration on field measurements, applications of satellite data for land utilization and area estimation., naked eye interpretation, plant pattern, mapping of land use, yield estimation of crops, erosion, salinity, drainage.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Principles of remote sensing 2
2Electromagnetic radiation principles 2
3Basic types of earth 2
4Remote sensing of vegetation 2
5Remote sensing of water 2
6Remote sensing of minerals 2
7Remote sensing of soils 2
8midterm exam
9Platform and sensors in remote sensing 2
10Application land use mapping 2
11Application land use mapping soil survey and mapping2
12Determining to dynamic soil properties 2
13Application of irrigated agriculture 2
14Estimation of yield and harvest, Estimation of soil erosion2
15Final Exam
Recommended or Required Reading
Dinç, U., Yeğingil, İ., Peştemalcı V., Dinç, O., Kandırmaz, M., 2001. Uzaktan Algılamanın Temel Esasları ve Bazı Uygulamalar Tübitak Bilim Adamı Yetiştirme Grubu, Lisansüstü Yaz Okulu Ders Notları. Adana. John R Jensen, 2000. Remote Sensing of The Environment. Thomas M Lillesand, Ralph W Kiefer, Remote Sensing and Image Interpretation
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities50
End Of Term (or Year) Learning Activities50
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination122
Quiz111
Attending Lectures14228
Practice14228
Discussion10220
Brain Storming5210
Criticising Paper10220
Individual Study for Mid term Examination12020
Individual Study for Final Examination14040
Homework11010
TOTAL WORKLOAD (hours)180
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
LO13   4   4 
LO2 5   4   4
LO3  4   5   
LO4   5   4  
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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