UA515 Remote Sensing And Geographic Information System In Environment Study

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

Information

Unit INSTITUTE OF NATURAL AND APPLIED SCIENCES
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (MASTER) (WITH THESIS)
Code UA515
Name Remote Sensing And Geographic Information System In Environment Study
Term 2024-2025 Academic Year
Term Fall
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 Prof. Dr. SÜHA BERBEROĞLU (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

This course aims to understand the role of remote sensing and Geographic Information Systems in integrated environmental management and to evaluate their applications in resource management and biodiversity conservation through regional and global case studies.

Course Content

Environmental models, applications of remote sensing and GIS in land and water management Fundamentals of remote sensing, radiation theory, sensor systems, data recording, storage and analysis, reflection characteristics of man-made and natural materials, remote sensing applications including climate, vegetation and land cover.

Course Precondition

There is no precondition

Resources

Lecture Note

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; To that purposes,, 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 Using 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 Remote sensing technology recognises sensor systems and obtains images from 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 Accesses information, researches resources, uses databases, follows developments in science and technology and constantly renews himself/herself.
LO14 Acquires the ability to acquire, evaluate, record and apply information from satellite data.
LO15 To be able to analyze and interpret geographical data by GIS techniques.


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
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. 3
PLO05 Bilgi - Kuramsal, Olgusal The students gain knowledge to use current data and methods for multi-disciplinary research 4
PLO06 Bilgi - Kuramsal, Olgusal The students gain technical competence and skills in using recent GIS and remote sensing software
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. 5
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
PLO12 Yetkinlikler - Öğrenme Yetkinliği Acquires the ability to acquire, evaluate, record and apply information from satellite data


Week Plan

Week Topic Preparation Methods
1 Introduction to remote sensing and electromagnetic energy, Remote sensing platforms and resolutions Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
2 Sensors and their applications including, land, water and meteorology. Sensors and platforms for landscape planning Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
3 Image processing and analysis, manual processing Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
4 Image pre-processing and analysis, image enhancement, Image classification Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
5 Change detection Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
6 Data integration, Indices and data convertion Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
7 Soil salinity detection using remote sensing; Hyper-spectral rmote sensing Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
8 Mid-Term Exam Ölçme Yöntemleri:
Ödev
9 Remote sensing in change detection; practical work Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
10 Crop yield estimation using remote sensing Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
11 Remote sensing and hydrology Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
12 Remote sensing and carbon cycle studies. Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
13 Remote sensing and water quality monitoring studies. Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
14 Remote sensing and forest biomass monitoring studies. Reading the related literature and lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
15 Project presentations homework, presentation Öğretim Yöntemleri:
Anlatım, Tartışma, Gösteri
16 Term Exams Preparation for exam Ölçme Yöntemleri:
Ödev
17 Term Exams Preparation for exam Ölçme Yöntemleri:
Ödev


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Project / Design 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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: 28.02.2025 02:52