UA514 Remote Sensing and Gıs in Urban Planning

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code UA514
Name Remote Sensing and Gıs in Urban Planning
Term 2024-2025 Academic Year
Semester . Semester
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 Goal / Objective

Application of optical and radar remote sensing, advanced remote sensing techniques for monitoring and modelling urban development to determine unplanned urbanisation. Additionally, analysis of high spatial remotely sensed data for urban and regional applications and urban information systems.

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 Obtains the necessary information 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 They perceive the original data as natural or original transformed elements of contemporary systems and comprehends the concept of planning these resources in a sustainable way.
LO08 Ability to analyze a system, system component or process and to plan under realistic constraints to meet the desired requirements; gain the ability 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 the current techniques and tools required for engineering applications; have the ability to use information technologies effectively, collect data, analyze and interpret the results.
LO13 To be able to access information and to do resource research for this purpose, the ability to use databases and other information sources and awareness of necessity of lifelong learning have the ability to follow developments in science and technology and to renew themselves continuously.
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

Update Time: 23.09.2024 03:03