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Course Description Course Name : Remote Sensing in the Natural Resources Investigation Course Code : UA-522 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 : At the end of the course, the students recognize, estimate properties and map the natural earth objects by using images acquired various platforms. Create various thematic maps. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To recognize, identify the properties and map the natural resources and natural earth objects by using remotely sensed data. Course Contents : In this particular course, methods for information generation (recognition, identification of properties, and distribution) are presented with case studies. The use of aerial photos and satellite images in order to generate information on the natural earth objects including water sources and soils, as well as other issues like land cover, land use, geology, agricultural applications, forestry, archeological structures and environment is presented. 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 Introduction None Lecture 2 Images sensed by various platforms and their properties Literature review Lecture 3 Methods of recognition information from images Literature review Lecture 4 Exercises on the methods of information recognition from images Examining varous images Exercises 5 Mapping of Land cover types Literature review Lecture and exercise 6 Mapping of land use Literature review Lecture and exercise 7 Mapping of water resources Literature review Lecture and exercise 8 Forestry applications Literature review Lecture and exercise 9 Geological applications Literature review Lecture and exercise 10 Mid-term exam Revision Written 11 Mapping of soils Literature review Lecture and exercise 12 Mappinf of soils (continue) Literature review Lecture and exercise 13 Archeological applications Literature review Lecture and exercise 14 Environmental applications Literature review Lecture and exercise 15 Integration of the generated information and maps. Matching of the generated maps of case study area. Lecture and exercise 16/17 Final exam Revision Oral and written exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  . 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 6 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. 1 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. 3 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. 0 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. 4 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. 2 9 At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory. 2 10 The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. 2 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. 3 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. 2 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. 2 * 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) 16 2 32 Assesment Related Works     Homeworks, Projects, Others 6 10 60     Mid-term Exams (Written, Oral, etc.) 1 2 2     Final Exam 1 2 2 Total Workload: 138 Total Workload / 25 (h): 5.52 ECTS Credit: 6