UA0027 Remote Sensing and Energy Meteorology I

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

Information

Code UA0027
Name Remote Sensing and Energy Meteorology I
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 Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator
Course Instructor
1


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
2 Electromagnetic spectrum and radiation and atmospheric parameters Read the related books
3 Digital image, Satellite imagery and preprocessing of satellite image Read the related books
4 Meteorolojik satellites Read the related books
5 Atmosphere and its constitutes Read the related books
6 Patterns of atmospheric Energy Read the related books
7 Patterns of atmospheric circulations Read the related books
8 Mid-Term Exam
9 The role of satellite remote sensing in climate change studies Reading related papers
10 Climate studies using satellite data Reading related papers
11 Determination of solar radiation from satellites Reading related papers
12 Determination of land surface temperature from satellites Reading related papers
13 Global patterns of atmospheric moisture Reading related papers
14 Determination of Atmosferic Moısture ısing satellite Data Reading related papers
15 Precise monitoring of global temperature trends from satellites Reading related papers
16 Determination of precipitation from satellites Reading related papers
17 Term Exams


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: 11.05.2023 02:08