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Course Description Course Name : Image interpretation and digital mapping in remote sensing Course Code : UA-507 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. SUAT ŞENOL Learning Outcomes of the Course : The students gain the necessary skills to interpret images and generate information about the object of study on images Gain the skills for the preparation of the thematic maps from aerial photos and satellite images. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Interpretation of the images obtained from different platfoms to form thematic maps and perform digital mapping techniques. Course Contents : Interpretation techniques of the aerial photos, and digital satellite images for production of thematic maps with various purposes, digital mapping techniques, necessary data to perform digital maps. Language of Instruction : Turkish Work Place : Classroom and lab.   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Images obtained through various platforms and their properties None Lecture 2 Images obtained through various platforms and their properties Literature review Lecture 3 Image ınterpretation techniques Literature review Lecture 4 Image interpretation techniques Literature review Lecture and exercises for practice 5 Image characteristics in visual interpretation (colour tone and colour) Literature review Lecture and exercises for practice 6 Image characteristics in visual interpretation (Texture) Literature review Lecture and exercises for practice 7 Image characteristics in visual interpretation (pattern and shadow) Literatüre review Lecture and exercises for practice 8 Image characteristics in visual interpretation (position) Literature review Lecture and exercises for practice 9 Elemental analysis Literature review Lecture and exercises for practice 10 Pattern analysis Literature review Lecture and exercises for practice 11 Mid-term exam Review of all subject tought Oral exam 12 Thematic maps prepared by image interpretatin Literature review Lecture and exercises for practice 13 Properties of digital maps Literature review Lecture and exercises 14 Types of digital maps Literature review Lecture and exercises 15 Preparation of digital maps and data bank Literature review Lecture and exercises 16/17 Final exam Revision of the module content Written   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  FAO, 1967 Aerial Photo Interpretation in Soil Survey. Soils Bulletin 6. Rome  Lillesand, T.M. Kiefer, R. W., 1979. Remote Sensing and Image Interpretation. John Wiley & Sons New York Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 5 40 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 The students acquire knowledge on potential practical fields of use of remotely sensed data, and use their theoretical and practical knowledge for problem solution in the related professional disciplines. 5 2 The students identify, describe, formulate and solve problems in engineering, and for this purpose, they are able to select appropriate techniques and apply analytical methods and models. 2 3 The students generate information using remotely sensed data and GIS together with database management skills. 0 4 The students gain knowledge to use current data and methods for multi-disciplinary research. 4 5 The students gain technical competence and skills in using recent GIS and remote sensing software. 0 6 The students have basic information about data collection, management, and analysis through integrating GIS and remote sensing, and are able to solve engineering problems using modern tools and technologies. 3 7 The students develop an understanding of sustainable resource management and planning to meet human needs by taking ecological factors into consideration in light of the current research data. 0 8 The students acquire the necessary knowledge and skills to understand a system, a system component or process for planning purposes, using modern techniques and methods. 0 9 At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory. 5 10 The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. 3 11 The students gain knowledge on temporal, radiometrici, spatial and spectral characteristics of remotely sensed data, as well as optic and active remote sensing systems and their interpretation. 0 12 The students develop the necessary skills for selecting and using appropriate techniques and tools for engineering practices, using information technologies effectively, and collecting, analysing and interpreting data. 0 13 The students gain the necessary skills to access information, review the literature, use databases and other sources of information, as well as lifelong learning awareness and the skills to follow scientific and technological developments for personal improvement. 0 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 15 2 30 Assesment Related Works     Homeworks, Projects, Others 5 15 75     Mid-term Exams (Written, Oral, etc.) 1 2 2     Final Exam 1 2 2 Total Workload: 151 Total Workload / 25 (h): 6.04 ECTS Credit: 6