COURSE UNIT TITLE

: REMOTE SENSING METHODS IN APPLIED GEOLOGY

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GEE 5103 REMOTE SENSING METHODS IN APPLIED GEOLOGY ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR CEM KINCAL

Offered to

Applied Geology
Applied Geology

Course Objective

Estimation of the geological boundaries and tectonic features using aerial photographs is aimed before going to field work. Remote sensing is useful and time saving works. Buffer zon determination of any landslide site cia remote sensing works, city planning studies using aerial photography and classification works of any field using satellite optic imagery for different point of views are aimed.

Learning Outcomes of the Course Unit

1   Recognition of rocks using aerial photographs
2   Recognition of geological strustures in aerial photographs
3   Analyzing any field in 3D
4   Classification of satellite images in geological point of view
5   Using satellite imagery for engineering aims

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 What is Photogeology Stereoscopic works
2 Drainage networks, Surface forms of volcanic and tectonic origin
3 Applications of aerial photographs in Engineering Geology
4 Recognition of Sedimentary, Magmatic and Metamorphic rocks using aerial photographs
5 Structural definitions (Faults, folds, etc) and Geological Map Preparation
6 What is remote sensing Introduction to remote sensing, Electromagnetic waves, Electromagnetic spectrum
7 Atmospheric factors in remote sensing, sensors in remote sensing, types of remote sensing and remote sensing platforms
8 Presentation 1
9 Satellites and their technical specifications, Images in remote sensing
10 Color Composite image creation using Landsat satellite images
11 Mosaic creation using Landsat satellite images, False color composite images
12 Supervised and unsupervised classifications using color composite satellite images
13 Remote sensing applications in city planning works
14 Presentation 2

Recomended or Required Reading

Miller, C.E. Photogeology, Mc Graw-Hill , Book Company, Inc. New York, 1961.

Gupta, R.P., 2003. Remote Sensing Geology, second edition, Springer-Verlag, P.655, Berlin.

Lillesand, T.M. and Kiefer, R.W. 1994. Remote Sensing and Image Interpretation, p.750, John Wiley and Sons Inc., New York.

Planned Learning Activities and Teaching Methods

1.Lectures
2.Project preparation and presentation

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRS PRESENTATION
2 ASG ASSIGNMENT
3 FCG FINAL COURSE GRADE PRS * 0.50 + ASG * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Two project presentation (40%) and Final Exam (60%)

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Dr.Cem KINCAL, cem.kincal@deu.edu.tr, 0232 3017344

Office Hours

Mondays at 08:30-10:30

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Project Preparation 1 6 6
Application 1 3 3
Preparations before/after weekly lectures 12 3 36
Presentation preparation 2 15 30
Project Preparation 2 15 30
Preparation for final exam 1 24 24
Project Presentation 2 3 6
Final 1 3 3
TOTAL WORKLOAD (hours) 174

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.1554525552453
LO.2555525552453
LO.3355524542443
LO.4455524553453
LO.5555525554554