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| HRT4045 | Remote Sensing Applications | 2+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Practical | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | This course aims to teach how to process remote sensing images with various remote sensing software and to produce end products for different disciplines. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | 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 | | |
| Information about various Remote Sensing Software, conversion of images in different formats. land cover and land use concepts. Performing supervised and unsupervised classification with various remote sensing software. Detection of change in land cover and land use with various remote sensing software. The concept of texture in remote sensing and texture extraction methods and applications. Digital surface and digital terrain model production. Vegetation indices. The concept of image fusion. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Information about various Remote Sensing Software and opening remote sensing data in these software, converting images to different formats. | | | Week 2 | Preprocessing and preparation of remote sensing image data for different applications | | | Week 3 | Land cover and land use concepts. Supervised and unsupervised classification algorithms | | | Week 9 | Mid-term exam | | | Week 16 | Final exam | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | | | | | | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | | | | |
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