Information Package / Course Catalogue
Soil Mapping and Remote Sensing
Course Code: ZTO519
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: 
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

Explain the basic fundamentals of remote sensing, getting information about shapes, locations of objects on the earth by using remote sensing data, how to get information from satellite image and how to interpret them

Course Content

To teach objectives of making soil maps, process and methodology of soil survey and mapping, principle of remote sensing; satellite images and their properties, interpretation by eye in remote sensing and data production, importance of digital image processing in remote sensing, interpretation of satellite image and evaluation in different fields subjects

Name of Lecturer(s)
Lec. Levent ATATANIR
Learning Outcomes
1.To be able to describe the fundamentals of Remote sensing, digital data sources and areas of use.
2.To be able to compute the remote sensing software
3.To be able to define the remote sensing platforms and methods of obtaining data.
4.To be able to compute and interpret the remote sensing techniques used for monitoring natural resources such as soil, water and forest.
5.To be able to compare the different applications for agricultural purposes of Remote Sensing
Recommended or Required Reading
1.Uzaktan Algılamanın Temel Esasları ve Tarımsal Uygulamaları. TÜBİTAK Yaz Okulu Dinç, U., Şenol S. (1998), Dinç U., Yeğingil İ., S. Şenol, V. Peştemalcı, H. M. Kandırmaz. 2001.
2.Toprak Etüt ve Haritalama. Ç.Ü. Ziraat Fak. Yayın No:161 Ders Kitapları Yayın No: A-50, ADANA, Dinç, U., Şenol S. 1998,
3.Uzaktan Algılama: Kantitatif Yaklaşım, İTÜ İnşaat fakültesi, Jeodezi ve Fotogrametri Müh. Bölümü, İstanbul 429s., Maktav, D; Sunar, F., 1991.
4.ERDAS Imagine Field Guide, Fifth Ed., Erdas Worldwide Headquarters 2810Buford Highway, N.E. Atlanta, Georgia, USA, ERDAS, 1999.
5.Remote Sensing and Image Intrpretation. Fourth Ed. John. Wiley and Sons, Inc., New York, 710 pp., Lillesand, T.M., Kiefer, R.W., 2000.
6.Land Observation By Remote Sensing Theory and Applications. Wageningen Agricultural Uni. The Netherlands. Gordon and Breach Sience Publishers, Buiten, H.J., Clevers J.G.P.W., 1993.
7.Remote sensing of the environment: an earth resource perspective, 2nd edit. Pearson/Prentice Hall, NJ, USA. 597p., Jensen, J.R. 2007.
8.Uzaktan Algılamada Temel Kavramlar. Mart Matbaacılık, İstanbul, Sesören, A., 1999.
9.Remote Sensing in Soil Science, Developments in Soil Science 15, Department of Soil Science and Geology, Agricultural University of Wageningen, The Netherlands, Mulders, M.A., 1987.
Weekly Detailed Course Contents
Week 1 - Theoretical
The Importance of Soil Mapping
Week 1 - Practice
Examination of different soil survey maps
Week 2 - Theoretical
Process and Methodology of Soil Survey and Mapping
Week 2 - Practice
Soil mapping legend, cartographic materials, tools and equipments
Week 3 - Theoretical
Application fields and progress of Remote Sensing
Week 3 - Practice
Introduction of software and hardware used in remote sensing technique
Week 4 - Theoretical
The basic principles of remote sensing
Week 4 - Practice
Image opening
Week 5 - Theoretical
Spectral Characteristic of Surface Objects
Week 5 - Practice
Radiometric and geometric correction of satellite data
Week 6 - Theoretical
Characteristics of Remote Sensing Platforms
Week 6 - Practice
Comparison of images of different satellites used in Remote sensing technique
Week 7 - Theoretical
Characteristics and Evaluation of Satellite Image
Week 7 - Practice
Image enhancement applications
Week 8 - Theoretical
Preparation of Soil Mapping Using Remote Sensing Techniques
Week 8 - Practice
Screen digitize in remote sensing software
Week 9 - Theoretical
Interpretation and analysis of satellite images.
Week 9 - Practice
Image extraction
Week 10 - Theoretical
Interpretation and analysis of satellite images.
Week 10 - Practice
Unsupervised classification
Week 11 - Theoretical
Multi spectral classification in Remote Sensing.
Week 11 - Practice
Supervised classification
Week 12 - Theoretical
Remote Sensing Applications in Agriculture and natural resources management.
Week 12 - Practice
Examples for remote sensing applications
Week 13 - Theoretical
Recognizing soil properties and plant covers on aerial photos and satellite images
Week 13 - Practice
Determining and recording of reflectance values of land cover types.
Week 14 - Theoretical
Preparing basic digital map
Week 14 - Practice
Band ratios (VI, NDVI)
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Lecture - Practice142256
Assignment130030
Reading315045
Midterm Examination1516
Final Examination1617
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
OÇ-1
OÇ-2
4
OÇ-3
OÇ-4
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026