COURSE UNIT TITLE

: RADAR REMOTE SENSING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GIS 6013 RADAR REMOTE SENSING ELECTIVE 1 2 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ATILLA HÜSNÜ ERONAT

Offered to

GEOGRAPHICAL INFORMATION SYSTEMS (ENGLISH)
Geographical Information Systems (Non-Thesis) (English)
GEOGRAPHIC INFORMATION SYSTEMS (ENGLISH)
GEOGRAPHICAL INFORMATION SYSTEMS - NON THESIS (EVENING PROGRAM) (ENGLISH)

Course Objective

Radar is one of the powerful sensing tools for earth science applications. Actively operating radar system can gather data in all weather conditions. The applications of radar remote sensing systems reach from digital elevation modeling to earth surface deformations. This course will deliver the principles of radar and applications like elevation model generation,land cover mapping etc.

Learning Outcomes of the Course Unit

1   Students will be able to relate physical and mathematical models of a radar image
2   They will be able to interpret a raw radar image
3   They will analyze SAR images and will be able to interpret fringes on the image.
4   They will differentiate between different examples of applications: single shot range measurements for sea and ice measurements, radar echoes over a field (SAR) for area surveying.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction Radar principles,A Brief History
2 Acquisition of radar images Radar equation,Radar signal processing
3 Range processing
4 Azimuth processing
5 Polarimetry
6 Synthetic Aperture Technique
7 Persistent Scatterer Technique
8 Airborne and spaceborne instrumentation
9 Mid-term examination
10 Land use and land cover mapping
11 Agricultural and forestry applications
12 Measurement of surface topography (DEM Generation)
13 Surface deformation
14 Atmospheric applications Sea and ice remote sensing with radar

Recomended or Required Reading

Curlander, JC and McDonough, RM, Synthetic Aperture Radar: Systems and Signal Processing, Wiley, 1991.
Henderson, FM, Anthony, JL, Principles and Applications of Imaging Radar, John Wiley &Sons, 1998.
Hannsen, RF, Radar Interferometry - Data Interpretation and Error Analysis, Kluwer, 2001.
Hein, A., Processing of SAR Data: Fundamentals, Signal Processing, Interferometry, Springer, 2003.

Planned Learning Activities and Teaching Methods

Students will be given reading assignments a week in advance. Each week s lecture will begin with an introduction to the fundamentals of that week s content. Students will discuss the week s entire content with the lecturer s assistance in groups. Students will be assigned problems which they will solve individually and/or in group in laboratory environment. Students will write reports and present them orally.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.20 + ASG * 0.20 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + ASG * 0.20 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

- Fieldwork reports
- Laboratory reports
- Project report
- Oral presentation
- Written examination

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 4 56
Preparation for midterm exam 1 20 20
Preparation for final exam 1 30 30
Reading 1 20 20
Preparing assignments 1 30 30
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 202

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.134445233333
LO.243554324443
LO.344333542243
LO.445555522244