Information Package / Course Catalogue
Remote Sensing Techniques on Estimation of Evapotranspiration Algebra
Course Code: ZTY545
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The objective of this course is to teach “Surface Energy Balance Algorithm for Land (SEBAL)” method which is used for estimation of evapotranspiration (ET) by remote sensing (RS).

Course Content

The objective of this course is to teach “Surface Energy Balance Algorithm for Land (SEBAL)” method which is used for estimation of evapotranspiration (ET) by remote sensing (RS). ET is an essential component of the water balance, especially for irrigated areas. Potential ET(ETp) and actual ET(ETa) in large irrigated areas are basic parameters in understanding whether resources management is effective. Quantifying of ETp and ETa by using conventional methods such as direct measurement and from climatic data is very difficult especially at system or basin level due to lack of information on spatial variation of parameters needed for estimation. ET can be derived by using RS without the need to quantify other complex hydrological processes. RS can provide more frequent, objective and reliable information than conventional methods on agricultural and hydrological conditions of the land surface

Name of Lecturer(s)
Learning Outcomes
1.Acquisition end preprocessing of satellite images
2.Introduction to the software used in processing of satellite images
3.The data set used in the estimation of evapotranspiration by satellite images
4.Teach determination of evapotranspiration using remote sensing
5.Various applications on computer
Recommended or Required Reading
1.Allen, R.G., Pereira, L.S., Raes, D. and Smith, M., 1998. Crop Evapotranspiration: Guidelines for computing crop water requirements. Irrigation and Drainage Paper 56, Food and Agriculture Organization of the United Nations, Rome, 300 p.
2.Parodi, G. N., 2002, AHVRR Hydrological Analysis System Algorithms and Theory, WRES – ITC 2002, 77 p.
3.Bastiaanssen, W.G.M., Menenti, M., Feddes, R.A. and Holtslag, A.A.M., 1998. A Remote Sensing Surface Energy Balance Algorithm for Land (SEBAL), 1. Formulation. J. of Hydrology 212-213: 198-212.
4.Bastiaanssen, W.G.M., Pelgrum, H., Wang, J., Ma, Y., Moreno, J.F., Roerink, G.J., van der Wal, T., 1998b. A remote sensing surface energy balance algorithm for land (SEBAL). 2. Validation. Journal of Hydrology 213–229
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Introduction to Evapotranspiration
Week 2 - Theoretical & Practice
Introduction to Remote Sensing
Week 3 - Theoretical & Practice
Acquisition and Preprocessing of Satellite Images
Week 4 - Theoretical & Practice
Geometric Corrections of Satellite Images
Week 5 - Theoretical & Practice
Radiometric Corrections of Satellite Images
Week 6 - Theoretical & Practice
Introduction to Image Processing and GIS Package, ILWIS
Week 7 - Theoretical & Practice
Ground Meteorological Data Required for Estimation of ET using RS
Week 8 - Theoretical & Practice
Ground Meteorological Data Required for Estimation of ET using RS, MIDTERM EXAM
Week 9 - Theoretical & Practice
Introduction to AHAS (AHVRR Hydrological Analysis System), User interface over ILWIS
Week 10 - Theoretical & Practice
Spectral Composites for Estimation of ET
Week 11 - Theoretical & Practice
Biophysical Properties for Estimation of ET
Week 12 - Theoretical & Practice
Climatic Characteristics for Estimation of ET
Week 13 - Theoretical & Practice
Water Characteristics for Estimation of ET
Week 14 - Theoretical & Practice
Determination of the ET using remote sensing on a case study
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Practice Examination1%5
Midterm Examination1%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Lecture - Practice141242
Practice Examination115217
Midterm Examination120222
Final Examination125227
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
OÇ-1
5
5
5
5
5
5
5
5
OÇ-2
5
5
5
5
4
4
4
4
OÇ-3
5
5
5
4
4
4
4
4
OÇ-4
5
4
4
5
5
5
3
1
OÇ-5
5
5
4
4
4
3
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026