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Information
| Code | UA0027 |
| Name | Remote Sensing and Energy Meteorology I |
| Term | 2023-2024 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 | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator |
Course Goal / Objective
Determination of some variables that affects the energy changes in the atmosphere using satellitr data
Course Content
Observing Weather From Space, estimation of solar radiation, atmospheric moisture, Clouds from Bottom to TopVisible Satellite Imagery Infrared Satellite Imagery Water Vapor Imagery How Radar Works nterpreting Radar Images Doppler and Dual Polarization Radar Summary: Satellite and Radar Imagery
Course Precondition
none
Resources
Climatology from Satellites-A.C.Barret
Notes
Satellite Remote Sensing in Climatology- Carleton
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Knows properties of electromagnetic spectrum |
| LO02 | Knows properties of atmosphere |
| LO03 | Detects the clouds from satellite data |
| LO04 | Calculate the atmospheric moisture using 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. | 1 |
| PLO02 | Bilgi - Kuramsal, Olgusal | The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | The students generate information using remotely sensed data and GIS together with database management skills. | 2 |
| 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. | 2 |
| 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. | 4 |
| 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. | 2 |
| 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. | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | General informations and definitions | Read the related books | Öğretim Yöntemleri: Anlatım |
| 2 | Electromagnetic spectrum and radiation and atmospheric parameters | Read the related books | Öğretim Yöntemleri: Anlatım |
| 3 | Digital image, Satellite imagery and preprocessing of satellite image | Read the related books | Öğretim Yöntemleri: Anlatım |
| 4 | Meteorolojik satellites | Read the related books | Öğretim Yöntemleri: Anlatım |
| 5 | Atmosphere and its constitutes | Read the related books | Öğretim Yöntemleri: Anlatım |
| 6 | Patterns of atmospheric Energy | Read the related books | Öğretim Yöntemleri: Anlatım |
| 7 | Patterns of atmospheric circulations | Read the related books | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | The role of satellite remote sensing in climate change studies | Reading related papers | Öğretim Yöntemleri: Anlatım |
| 10 | Climate studies using satellite data | Reading related papers | Öğretim Yöntemleri: Anlatım |
| 11 | Determination of solar radiation from satellites | Reading related papers | Öğretim Yöntemleri: Anlatım |
| 12 | Determination of land surface temperature from satellites | Reading related papers | Öğretim Yöntemleri: Anlatım |
| 13 | Global patterns of atmospheric moisture | Reading related papers | Öğretim Yöntemleri: Anlatım |
| 14 | Determination of Atmosferic Moısture ısing satellite Data | Reading related papers | Öğretim Yöntemleri: Anlatım |
| 15 | Precise monitoring of global temperature trends from satellites | Reading related papers | Öğretim Yöntemleri: Anlatım |
| 16 | Determination of precipitation from satellites | Reading related papers | Öğretim Yöntemleri: Anlatım |
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
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 | ||