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SÜRMENE FACULTY of MARINE SCIENCES / DEPARTMENT of FISHERIES TECHNOLOGY ENGINEERING

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SÜRMENE FACULTY of MARINE SCIENCES / DEPARTMENT of FISHERIES TECHNOLOGY ENGINEERING /
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BTM4034Remote Sensing Aquatic Environment1+1+0ECTS:4
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of FISHERIES TECHNOLOGY ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 1 hour of lectures and 1 hour of practicals per week
LecturerProf. Dr. Abdulaziz GÜNEROĞLU
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
Fundamentals of remote sensing, application of remote sensing technique to aquatic environment, remote sensing applications in global scales
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : learn fundamentals of remote sensing8,161,
LO - 2 : obtain and interpret remotely sensed data8,161,
LO - 3 : learn how to study coastal water quality8,161,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
This course mainly deal with satellite systems used for ocean and environmental monitoring and management,ocean colour concept, remotely sensed data acqusition, storage, theory and techniques of remote sensing and their applications. Spectral signatures of natural and artificial materials. Some examples of remote sensing applications in marine science, fisheries, hydrology, meteorology are demonstrated
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Fundementals of remote sensing
 Week 2Fundementals of remote sensing
 Week 3Spectral windows, scattering, absorption and reflection
 Week 4Active and passive sensors, spectral, radiometric, temporal and geometric resolution
 Week 5Interpretation multi temporal and multispectral images
 Week 6Remote sensing of oceans and marginal seas
 Week 7Interpretation and remote sensing of SST
 Week 8Mid-term exam
 Week 9Satellites used for meteorological applications
 Week 10Characteristics of light reaching water surface
 Week 11Remote sensing of Chl-a and phytolanktons
 Week 12Remote sensing as a tool for monitorring sea water quality
 Week 13Remote sensing in fisheries
 Week 14Pricipal remote sensing sensors and satellites
 Week 15End of term review
 Week 16End of term exam
 
Textbook / Material
1Ders Notları
 
Recommended Reading
1Miller et. al. (2007) Remote sensing coastal and aquatic environments, Springer, 347p., USA
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 60 50
End-of-term exam 14 60 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 2 14 28
Sınıf dışı çalışma 1 12 12
Arasınav için hazırlık 1 7 7
Arasınav 1 1 1
Dönem sonu sınavı için hazırlık 1 14 14
Dönem sonu sınavı 1 1 1
Total work load63