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Information
| Code | UA0023 |
| Name | Remote Sensing Classification Programs |
| Term | 2022-2023 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-1 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3.5 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | |
| Course Instructor |
1 |
Course Goal / Objective
To analyze the accuracy of classification programs prepared with ready-made programs used in remote sensing.
Course Content
What is an image, the types of images taken from satellites, the closest probability, the nearest neighbor, the condensed nearest neighbor, the new algorithm "condensed nearest neighbor", the introduction and applications of programs such as ellipsoid, plant index. and the work and performance of ready-made programs
Course Precondition
none
Resources
remote sensing
Notes
https://books.google.com.tr/books?id=OSFGd3jrUO4C&printsec=frontcover&dq=remote+sensing&hl=tr&sa=X&redir_esc=y#v=onepage&q=remote%20sensing&f=false
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | learns smallest image cell |
| LO02 | Understands the differences between analog and digital images |
| LO03 | what is resolution? pixel differences of satellites |
| LO04 | What are the image bands of the satellites, which bands are applied for which examination, learn the differences |
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. | 3 |
| 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. | 3 |
| 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. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | The students gain knowledge to use current data and methods for multi-disciplinary research. | 2 |
| PLO06 | Bilgi - Kuramsal, Olgusal | The students gain technical competence and skills in using recent GIS and remote sensing software. | 5 |
| 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. | 5 |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Students will be able to calculate and interpret physical and atmospheric variables by processing the satellite data. | 4 |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Students can generate data for GIS projects using Remote Sensing techniques. | 2 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Gains the ability to analyze and interpret geographic data with GIS techniques. | 3 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Gains the ability of problem solving, solving, solution oriented application development. | 2 |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Acquires the ability to acquire, evaluate, record and apply information from satellite data. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | what is image? | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Soru-Cevap |
| 2 | What is analog and digital image? | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Anlatım |
| 3 | Description and characteristics of satellites | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Anlatım |
| 4 | What is a pixel? | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Anlatım, Gösteri |
| 5 | What is resolution? | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Gösterip Yaptırma |
| 6 | meaning of pixel resolutions | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Anlatım |
| 7 | Image bands of satellites | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Sözlü Sınav |
|
| 9 | With which image bands, ground objects are determined best | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Anlatım |
| 10 | Sample selection for test sites and classification | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Gösterip Yaptırma |
| 11 | training classification | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Gösterip Yaptırma |
| 12 | cluster classification | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Gösterip Yaptırma |
| 13 | introduction and applications of classification programs | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 14 | Introduction and applications of class attendance classification programs | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 15 | introduction and applications of classification programs sample programs | lecture, question-answer, discussion, research and application | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 16 | Term Exams | Ölçme Yöntemleri: Sözlü Sınav |
|
| 17 | Term Exams | Ölçme Yöntemleri: Sözlü Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 1 | 1 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 28 | 28 |
| Total Workload (Hour) | 153 | ||
| Total Workload / 25 (h) | 6,12 | ||
| ECTS | 6 ECTS | ||