Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | TBB-23-151 | AGRICULTURAL APPLICATIONS OF REMOTE SENSING | Elective | 1 | 2 | 6 |
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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) |
Doç. Dr. Uğur ŞİMŞEK |
Learning Outcomes |
1 | Selecting to satellite data according to research purpose | 2 | Photo interpretation of satellite data | 3 | Classification of basic types of earth features | 4 | Classification of plant types and soil types |
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Mode of Delivery |
Daytime Class |
Prerequisites and co-requisities |
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Recommended Optional Programme Components |
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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 |
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1 | Uzaktan algılama ve temel esasları | | | 2 | Electromagnetic radiation principles | | | 3 | Basic types of earth | | | 4 | Remote sensing of vegetation | | | 5 | Remote sensing of water | | | 6 | Remote sensing of minerals | | | 7 | Platform and sensors in remote sensing | | | 8 | Application land use mapping | | | 9 | Application land use mapping soil survey and mapping | | | 10 | Determining to dynamic soil properties | | | 11 | Application of irrigated agriculture | | | 12 | Estimation of yield and harvest, Estimation of soil erosion | | | 13 | Remote Sensing of soils | | | 14 | General evaluation | | |
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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 |
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Assessment Methods and Criteria | |
Midterm Examination | 1 | 50 | Quiz | 1 | 30 | Question-Answer | 1 | 20 | SUM | 100 | |
Final Examination | 1 | 100 | SUM | 100 | Term (or Year) Learning Activities | 50 | End Of Term (or Year) Learning Activities | 50 | SUM | 100 |
| Language of Instruction | Turkish | Work Placement(s) | |
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Workload Calculation |
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Midterm Examination | 1 | 1 | 1 |
Final Examination | 1 | 2 | 2 |
Quiz | 1 | 4 | 4 |
Attending Lectures | 1 | 56 | 56 |
Practice | 1 | 10 | 10 |
Discussion | 1 | 8 | 8 |
Question-Answer | 1 | 5 | 5 |
Criticising Paper | 1 | 20 | 20 |
Self Study | 1 | 45 | 45 |
Individual Study for Mid term Examination | 1 | 10 | 10 |
Individual Study for Final Examination | 1 | 15 | 15 |
Individual Study for Quiz | 1 | 4 | 4 |
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Contribution of Learning Outcomes to Programme Outcomes |
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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