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| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (MASTER) (WITH THESIS) | |
| Code | UA514 |
| Name | Remote Sensing and Gıs in Urban Planning |
| Term | 2024-2025 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SÜHA BERBEROĞLU |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
This course aims to utilize satellite data for monitoring and modeling urban development. By the end of the course, students are expected to distinguish special sensing systems, analyze unplanned urbanization using optical and radar imagery, interpret high-resolution data, and apply it in urban information system projects.
Course Content
Remote sensing and geographical information systems techniques for monitoring and modelling urban development.
Course Precondition
There is no precondition
Resources
Lecture Notes
Notes
All publications on the subject
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Have knowledge about the usage areas of satellite images; use theoretical and practical knowledge in this field together with the solutions in the professional field. |
| LO02 | Ability to identify, formulate, and solve engineering problems; For that purpose, they know and comprehend the function of selecting and applying appropriate analytical methods and modeling techniques. |
| LO03 | Develop information for GIS databases using remote sensing data and learn about database management issues. |
| LO04 | Utilise the knowledge necessary for the use of current data and methods in multi-disciplinary studies. |
| LO05 | Technical qualification is gained in the use of up-to-date data and software in Geographic Information Systems and Remote Sensing. |
| LO06 | Gains knowledge of data acquisition, management and analysis by integration of Geographical Information Systems and Remote Sensing; solve engineering problems related to planning with current tools. |
| LO07 | Perceives natural systems as original or humanly transformed elements with current data and plans these resources in a sustainable way to meet human needs. |
| LO08 | To be able to analyse a system, system component or process and plan it under realistic constraints to meet the desired requirements; to apply modern methods in this direction. |
| LO09 | Have advanced knowledge about advanced concepts of Remote Sensing and Geographic Information Systems. |
| LO10 | Have information about remote sensing technology, sensor systems and images acquired by these systems. |
| LO11 | Define the geometric and spectral characteristics of remotely sensed images and have the ability to analyze and interpret the images of optical / microwave systems. |
| LO12 | Ability to select and use current techniques and tools required for engineering practice; ability to interpret data by using information technologies effectively. |
| LO13 | Accesses information, conducts research, utilizes databases, and continuously updates oneself by following scientific developments. |
| LO14 | Preparing data for Geographical Information Systems projects using Remote Sensing techniques. |
| LO15 | Acquires the ability to acquire, evaluate, record and apply information from satellite data. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | The students generate information using remotely sensed data and GIS together with database management skills. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | 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. | 5 |
| PLO05 | Bilgi - Kuramsal, Olgusal | The students gain knowledge to use current data and methods for multi-disciplinary research | 5 |
| PLO06 | Bilgi - Kuramsal, Olgusal | The students gain technical competence and skills in using recent GIS and remote sensing software | 4 |
| PLO07 | Bilgi - Kuramsal, Olgusal | 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. | |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Students will be able to calculate and interpret physical and atmospheric variables by processing the satellite data. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Students can generate data for GIS projects using Remote Sensing techniques. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Gains the ability to analyze and interpret geographic data with GIS techniques | |
| PLO11 | Bilgi - Kuramsal, Olgusal | Gains the ability of problem solving, solving, solution oriented application development | 4 |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Acquires the ability to acquire, evaluate, record and apply information from satellite data |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Remote sensing patforms and sensors for monitoring urban development | Unpublished lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 2 | Urban change detection and time-series analysis | Preliminary Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 3 | Change detection and accuracy analysis | Preliminary Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 4 | Urban development modelling | Preliminary Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 5 | Cellular automata concept in modelling | Preliminary Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 6 | Cellular automata concept in modelling 2 | Preliminary Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 7 | Urban heat islands and thermal remote sensing | Preliminary Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Ödev |
|
| 9 | Urban information systems | Preliminary Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 10 | Change detection practice | Preliminary Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 11 | New applications in urban studies including Lidar, UAV etc. | Preliminary Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 12 | Urban 3D modelling studies | Preliminary Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 13 | Urban development plans and regulations | Preliminary Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 14 | Global case studies | Preliminary Reading | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 15 | Project presentations | Project Assignement | Öğretim Yöntemleri: Anlatım, Tartışma, Gösteri |
| 16 | Term Exams | Preparation for exam | Ölçme Yöntemleri: Ödev |
| 17 | Term Exams and evaluation | Preparation for exam | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||