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Information
| Code | UA515 |
| Name | Remote Sensing And Geographic Information System In Environment Study |
| Term | 2023-2024 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 |
1 |
Course Goal / Objective
To gain an understanding of the principles of remote sensing, radiation, sensors and platforms, data acquisition, image processing, interactions of electromagnetic energy with plants, soil and water, remote sensing applications for land and water resources. The place and potentials of remote sensing and GIS in integrated environmental management, as well as case studies in local and global scales for resource management and biodiversity conservation.
Course Content
Environmental models, applications of remote sensing and GIS in land and water management
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 | Gains technical competence in 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 | 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 | 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 |
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 | ||