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Syllabus ( GEO 212 )


   Basic information
Course title: Remote Sensing I
Course code: GEO 212
Lecturer: Prof. Dr. Taşkın KAVZOĞLU
ECTS credits: 4
GTU credits: 3 ()
Year, Semester: 2, Spring
Level of course: First Cycle (Undergraduate)
Type of course: Compulsory
Language of instruction: Turkish
Mode of delivery: Face to face
Pre- and co-requisites: none
Professional practice: No
Purpose of the course: With this course students, which is the main source of energy in Remote Sensing and Earth's electromagnetic energy is intended to be in-depth knowledge of the role in determining the properties. In addition to this, students via satellite image data with statistical requirements the visual interpretation is to provide basic knowledge and skills to be able to acquire the necessary equipment and versatile information regarding the interests of different types of objects.
   Learning outcomes Up

Upon successful completion of this course, students will be able to:

  1. Explain the basic concepts of remote sensing and its importance in Geomatics engineering discipline

    Contribution to Program Outcomes

    1. Obtain basic knowledge of Geomatics Engineering
    2. Recognize, analyze and solve engineering problems in surveying, planning, GIS and remote sensing fields
    3. COMPETENCE
    4. Communication and Social Competence

    Method of assessment

    1. Written exam
    2. Homework assignment
  2. Explain the interactions of electromagnetic radiation with earth atmosphere and surface features

    Contribution to Program Outcomes

    1. Obtain basic knowledge of Geomatics Engineering
    2. COMPETENCE

    Method of assessment

    1. Written exam
    2. Homework assignment
  3. Analyze basic features (resolution, image statistics, number of bands, coverage area) of satellite images

    Contribution to Program Outcomes

    1. Obtain basic knowledge of Geomatics Engineering
    2. COMPETENCE
    3. Ability to work independently and take responsibility
    4. Communication and Social Competence

    Method of assessment

    1. Written exam
    2. Laboratory exercise/exam
   Contents Up
Week 1: Introduction: Earth Observation and Remote Sensing: History and scope, definitions.
Week 2: Energy Resources and Radiation Basics (electromagnetic energy and electromagnetic energy resources, Energy distribution, electromagnetic spectrum, wavelengths, photon , black body, Wien and Stefan-Boltzmann rules) A
Week 3: Atmosphere energy interaction (atmosphere and layers, atmospheric scattering (Mie, Rayleigh, non selective), atmospheric absorption, atmospheric windows)
Week 4: Energy interaction with earth objects I (reflected energy, absorbed energy, transmitted energy, spectral reflection and curves, spectral reflection and curves.
Week 5: Energy interaction with earth objects - Vegetation (Spectrometer, water absorption bands, clorofile absorption bands etc.), spectral response patterns, spectral response patterns atmosphere effects (radiance, irradiance, formulas)
Week 6: Energy interaction with earth objects - Water (Spectrometer, water absorption bands), spectral response patterns, spectral response patterns atmosphere effects (radiance, irradiance, formulas)
Week 7: Energy interaction with earth objects - Soil (Spectrometer, water absorption bands), spectral response patterns, spectral response patterns atmosphere effects (radiance, irradiance, formulas), quiz
Week 8: Midterm Exam
Week 9: Energy interaction with earth objects - Urban + Snow + Cloud (Spectrometer, water absorption bands), spectral response patterns, spectral response patterns atmosphere effects (radiance, irradiance, formulas)
Week 10: Thermal remote sensing : Remote Sensing Satellites and Study Areas
Week 11: Microwave Remote Sensing: Remote Sensing Satellites and Study Areas
Week 12: Remote sensing data acquirement (Platforms, cameras (detectors, optic systems), scanners, active-passive RS systems, stereoscopy), Image record formats
Week 13: Digital image, general concepts, Analog-Digital concepts, pixel, Analog-Digital transformation, imaging geometry, sampling, Visual Analysis, Image Interpretation Elements, Color Spaces (RGB Space, IHS Space), True Color Image, False Color Image, quiz
Week 14: Homework presentations
Week 15*: -
Week 16*: Final exam
Textbooks and materials:
Recommended readings: - Mather, P.M. & Koch, M. (2011). Computer Processing of Remotely-Sensed Images: An Introduction. 4th Edition. Chichester, UK: Wiley-Blackwell.
- Lillesand, T.M., Kiefer, R.W. & Chipman, J.W. (2015). Remote Sensing and Image Interpretation. 7th edition, New York, USA: John Wiley & Sons.
- Campbell, J.B & Wynne, R.H. (2011). Introduction to Remote Sensing (5th ed.), NewYork, USA: The Guilford Press.
- Richards, J.A. (2013). Remote Sensing Digital Image Analysis: An Introduction. Fifth Edition. New York, USA: Springer-Verlag.
- Congalton, R.G., and Green, K., 1998, Assessing the accuracy of remotely sensed data: principles and practices, Lewis Publishers.
  * Between 15th and 16th weeks is there a free week for students to prepare for final exam.
Assessment Up
Method of assessment Week number Weight (%)
Mid-terms: 8 25
Other in-term studies: 0
Project: 0
Homework: 14 20
Quiz: 7,13 20
Final exam: 16 35
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 3 14
Own studies outside class: 2 14
Practice, Recitation: 1 6
Homework: 3 2
Term project: 0 0
Term project presentation: 0 0
Quiz: 0 0
Own study for mid-term exam: 2 3
Mid-term: 2 1
Personal studies for final exam: 2 4
Final exam: 2 1
    Total workload:
    Total ECTS credits:
*
  * ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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