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| JDZL7311 | Integration of Remote Sensing and GIS | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Doç. Dr. Volkan YILMAZ | | Co-Lecturer | | | Language of instruction | | | Professional practise ( internship ) | None | | | | The aim of the course: | | To produce base images for many Geographical Information Systems (GIS) applications with remotely sensed images. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Gather knowledge about image interpretation techniques | 4 | 1, | | PO - 2 : | Learn about the production of thematic maps for GIS using satellite images. | 5 | 1,3, | | PO - 3 : | Gather information about processing remotely sensed images with Spatial analyst and Geostatistical analyst extensions of ArcGIS 9.2 Desktop software | 4 | 1,3, | | PO - 4 : | Design and manage a GIS project | 5 | 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), PO : Learning Outcome | | |
| Principles of remote sensing, Atmospheric and geometric correction in remotely sensed images, Image interpretation techniques, Land cover and Land use concepts and their relationship with GIS, Producing of thematic maps for GIS using satellite images, Integration of vector and raster data in ERDAS IMAGINE software, Processing the remotely sensed images using the Spatial analyst and Geo-statistical analyst toolboxes of ArcGIS, Image classification, Applications on change detection and image fusion techniques |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Fundamentals of remote sensing | | | Week 2 | Atmospheric and geometric corrections in remotely sensed images | | | Week 3 | Image interpretation techniques | | | Week 4 | Land cover and land use concepts and their relationship with GIS | | | Week 5 | Production of thematic maps for GIS using satellite images | | | Week 6 | Production of thematic maps for GIS using satellite images | | | Week 7 | Integration of vector and raster data in ERDAS IMAGINE software | | | Week 8 | Processing remote sensing images in ArcGIS Desktop using the Spatial analyst and Geostatistical analyst extensions | | | Week 9 | Mid-term exam | | | Week 10 | Processing remote sensing images in ArcGIS Desktop using the Spatial analyst and Geostatistical analyst extensions | | | Week 11 | Processing remote sensing images in ArcGIS Desktop using the Spatial analyst and Geostatistical analyst extensions | | | Week 12 | Processing remote sensing images in ArcGIS Desktop using the Spatial analyst and Geostatistical analyst extensions | | | Week 13 | Processing remote sensing images in ArcGIS Desktop using the Spatial analyst and Geostatistical analyst extensions | | | Week 14 | Application of change detection analysis and image fusion techniques for GIS | | | Week 15 | Application of change detection analysis and image fusion techniques for GIS | | | Week 16 | Final exam | | | |
| 1 | Weng, Q. 2009; Remote sensing and GIS integration. McGraw-Hill Professional Publishing. | | | 2 | Liu, J. G., & Mason, P. J. 2013; Essential image processing and GIS for remote sensing. John Wiley & Sons. | | | |
| 1 | Erdas Fieldguide | | | 2 | ArcMap Fieldguide | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 1 | 30 | | Homework/Assignment/Term-paper | 12 | | | 20 | | End-of-term exam | 16 | | 1 | 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 | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 8 | 24 | | Arasınav için hazırlık | 10 | 2 | 20 | | Arasınav | 1 | 1 | 1 | | Ödev | 8 | 4 | 32 | | Dönem sonu sınavı için hazırlık | 10 | 2 | 20 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 140 |
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