UA003 Physical Basics of Thermal Remote Sensing

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

Information

Code UA003
Name Physical Basics of Thermal Remote Sensing
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 Doç. Dr. BEKİR YİĞİT YILDIZ
Course Instructor Doç. Dr. BEKİR YİĞİT YILDIZ (A Group) (Ins. in Charge)


Course Goal / Objective

The formation of thermal band data and teaching of the physical basis of remote sensing

Course Content

Basic principles of remote sensing, thermal radiation, atmospheric corridor, physics laws used in the terrmal region, diffusion and material properties

Course Precondition

None

Resources

Remote Sensing and image interprediction Lilesand and Kiefer

Notes

ders notu


Course Learning Outcomes

Order Course Learning Outcomes
LO01 understand the electromagnetic spectrum
LO02 comprehens data generation in remote sensing
LO03 associates blackbody radiation with thermal data
LO04 associates plank''s law with thermal data
LO05 associates wien's lawwith thermal data
LO06 associates themiisiviti calculation with NDVI


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 5
PLO02 Bilgi - Kuramsal, Olgusal The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data 5
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.
PLO05 Bilgi - Kuramsal, Olgusal The students gain knowledge to use current data and methods for multi-disciplinary research 3
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. 5
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
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 NO NEED ANY PREPERATION Öğretim Yöntemleri:
Anlatım
2 basic principles of remote sensing research on the internet Öğretim Yöntemleri:
Anlatım
3 electromagnetic spectrum and energy research on the internet Öğretim Yöntemleri:
Anlatım
4 visible region research on the internet Öğretim Yöntemleri:
Anlatım
5 thermal region research on the internet Öğretim Yöntemleri:
Anlatım
6 data creation in remote sensing research on the internet Öğretim Yöntemleri:
Anlatım
7 digital data research on the internet Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam general topic repetition Ölçme Yöntemleri:
Sözlü Sınav
9 modern physics overview research on the internet Öğretim Yöntemleri:
Anlatım
10 black body radiation research on the internet Öğretim Yöntemleri:
Anlatım
11 plank's law of radiation research on the internet Öğretim Yöntemleri:
Anlatım
12 stefan boltzman and wien's law research on the internet Öğretim Yöntemleri:
Anlatım
13 ndvı and emissivity calculation research on the internet Öğretim Yöntemleri:
Anlatım
14 thermal properties of materials research on the internet Öğretim Yöntemleri:
Anlatım
15 An overview study of lecture notes Öğretim Yöntemleri:
Anlatım
16 Term Exams general topic repetition Ölçme Yöntemleri:
Performans Değerlendirmesi
17 Term Exams general topic repetition Ölçme Yöntemleri:
Performans Değerlendirmesi


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