Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
REMOTE SENSING IN FISHERIES 801700805380 3 + 0 3.0 10.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery Theoretical lectures, presentations and home works.
Course Coordinator
Instructors
Assistants
Goals The course is to teach the definition and properties of remote sensing, using in fisheries of remote sensing systems, electromagnetic radiation spectrum and its properties, remote sensing platforms, sensors, using in determining of fish schools and monitoring of fishery activities of remote sensing systems.
Course Content The main topics of this course are the definition and history of remote sensing system, general properties of electro-magnetic radiation (EMR) spectrum, remote sensing platforms, sensors and properties of remote sensing systems, active and passive sensors, peripheral satellites and properties, sensors and properties of peripheral satellites, environmental satellites and properties, Geographical Information systems (GIS) data and Digital Image Processing used in remote sensing and application of remote sensing to fisheries and fish stocks
Learning Outcomes 1) The course teaches using in fisheries of system and technique of remote sensing
2) The course informs on electromagnetic wavelengths related with remote sensing of electromagnetic radiation spectrum.
3) The course informs about platforms, active and passive sensors used in remote sensing.
4) The course teaches the remote sensing techniques used in detection, distribution and abundance determination of fish schools.
5) The course teaches on satellites and properties collecting environmental and oceanographic data related with fisheries.
6) The course teaches planning and applying the using of remote sensing technique in monitoring of fishery activities related with tuna and other fish stocks.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Definition and properties of remote sensing Lecture

 Presentation (Including Preparation Time)
2. Week Remote sensing system and its properties Lecture

 Presentation (Including Preparation Time)
3. Week Electro-magnetic radiation (EMR) spectrum and its properties Lecture

 Presentation (Including Preparation Time)
4. Week Remote sensing platforms Lecture

 Presentation (Including Preparation Time)
5. Week Sensors of remote sensing platforms Lecture

 Presentation (Including Preparation Time)
6. Week Passive sensors Lecture

 Presentation (Including Preparation Time)
7. Week Active sensors Lecture

 Presentation (Including Preparation Time)
8. Week Environmental satellites and properties Lecture

 Presentation (Including Preparation Time)
9. Week Using of Geographical Information Systems (GIS) in remote sensing of fisheries resources Lecture

 Presentation (Including Preparation Time)
10. Week Collecting data for Geographical Information Systems (GIS) Lecture

 Presentation (Including Preparation Time)
11. Week Digital image processing in remote sensing Lecture

 Presentation (Including Preparation Time)
12. Week Determination of fish schools by means of remote sensing system Lecture

 Presentation (Including Preparation Time)
13. Week Monitoring of fisheries by means of remote sensing system Lecture

 Presentation (Including Preparation Time)
14. Week Fisheries researches related with remote sensing system in Turkey Lecture

 Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Ali, A., A., Mazid, M. A. and Sinha, V. R. P. (1993). Short-Term Training Programme on GIS (Geographic Information System) for Fisheries. 14-18 November 1993, ASSISTANCE TO FISHERIES RESEARCH INSTITUTE, MYMENSINGH BGD/89/012, FIELD DOCUMENT NO. 5, 82 p.
Butler, M. J. A., Mouchot, M. –C., Barale, V. and LeBlanc, C. (1988). The Application of Remote Sensing Technology to Marine Fisheries: An Introductory Manual. FAO Fish. Tech. Pap., (295): 165 p.
Kapetsky, J.M. and Aguilar-Manjarrez, J.(2007). Geographic Information Systems, Remote Sensing and Mapping For The Development and Management of Marine Aquaculture. FAO Fisheries Technical Paper No. 458, Rome, FAO, 125 p.
Sanchez, E. E. L. (2003). Remote Sensing and Geographıc Information System For Pelagic Fishıng Ground Forecasting In North Icelandic Waters. UNU Fish. Training Programme, Final Project, 56 p.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5DK6
PY15000000
PY25000000
PY35000000
PY45000000
PY55000000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 2
Homework 4 16
Presentation (Including Preparation Time) 4 12
Activity (Web Search, Library Work, Trip, Observation, Interview etc.) 14 3
Midterm Exam 1 1
Time to prepare for Midterm Exam 7 4
Final Exam 1 1.5
Time to prepare for Final Exam 14 3
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload