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BTM4034 | Remote Sensing Aquatic Environment | 1+1+0 | ECTS:4 | Year / Semester | Spring Semester | Level of Course | First Cycle | Status | Elective | Department | DEPARTMENT of FISHERIES TECHNOLOGY ENGINEERING | Prerequisites and co-requisites | None | Mode of Delivery | | Contact Hours | 14 weeks - 1 hour of lectures and 1 hour of practicals per week | Lecturer | Prof. Dr. Abdulaziz GÜNEROĞLU | Co-Lecturer | | Language of instruction | Turkish | 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 Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | LO - 1 : | learn fundamentals of remote sensing | 8,16 | 1, | LO - 2 : | obtain and interpret remotely sensed data | 8,16 | 1, | LO - 3 : | learn how to study coastal water quality | 8,16 | 1, | 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 | |
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 |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Fundementals of remote sensing | | Week 2 | Fundementals of remote sensing | | Week 3 | Spectral windows, scattering, absorption and reflection | | Week 4 | Active and passive sensors, spectral, radiometric, temporal and geometric resolution | | Week 5 | Interpretation multi temporal and multispectral images | | Week 6 | Remote sensing of oceans and marginal seas | | Week 7 | Interpretation and remote sensing of SST | | Week 8 | Mid-term exam | | Week 9 | Satellites used for meteorological applications | | Week 10 | Characteristics of light reaching water surface | | Week 11 | Remote sensing of Chl-a and phytolanktons | | Week 12 | Remote sensing as a tool for monitorring sea water quality | | Week 13 | Remote sensing in fisheries | | Week 14 | Pricipal remote sensing sensors and satellites | | Week 15 | End of term review | | Week 16 | End of term exam | | |
1 | Miller et. al. (2007) Remote sensing coastal and aquatic environments, Springer, 347p., USA | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 8 | | 60 | 50 | End-of-term exam | 14 | | 60 | 50 | |
Student Work Load and its Distribution | Type of work | Duration (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 load | | | 63 |
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