UA0026 Remote Sensing and Energy Meteorology II

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

Information

Code UA0026
Name Remote Sensing and Energy Meteorology II
Term 2022-2023 Academic Year
Term Spring
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 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 and mapping meteorological quantities

Course Precondition

none

Resources

Climatology from Satellites-A.C.Barret

Notes

REMOTE SENSING AND IMAGE INTERPRETATION Thomas M. Lillesand (Eser Sahibi), Ralph W. Kiefer Jonathan W. Chipman


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Knows properties of electromagnetic spectrum
LO02 Detects the clouds from satellite data
LO03 uydu verisi ile Atmosferik nem hesaplayabilir
LO04 Calculate the solar radiation at ground using satellite data
LO05 Obtaining sea, ice, flood and fire maps from 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. 2
PLO02 Bilgi - Kuramsal, Olgusal The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. 2
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. 2
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.
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. 3
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. 3
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. 2


Week Plan

Week Topic Preparation Methods
1 General informations and definitions Reference books Öğretim Yöntemleri:
Anlatım
2 Patterns of atmospheric energy Reference books Öğretim Yöntemleri:
Anlatım
3 Astronomic Factors and solar radiation on ground Reference books Öğretim Yöntemleri:
Anlatım
4 Measurument of solar radiation Reference books Öğretim Yöntemleri:
Anlatım
5 The estimation of rainfall from satellite data Reference books Öğretim Yöntemleri:
Anlatım
6 Cloud detection in satellite images Reference books Öğretim Yöntemleri:
Anlatım
7 Distinguishing Cloud and Snow in Satellite Images Reference books Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Reference books Ölçme Yöntemleri:
Yazılı Sınav
9 satellite observed optical thickness Reference books Öğretim Yöntemleri:
Anlatım
10 cloud top temperature Reference books Öğretim Yöntemleri:
Anlatım
11 sea surface temperature Reference books Öğretim Yöntemleri:
Anlatım
12 satellite radar altimetry Reference books Öğretim Yöntemleri:
Anlatım
13 thickness estimation Reference books Öğretim Yöntemleri:
Anlatım
14 Sea ice classification Reference books Öğretim Yöntemleri:
Anlatım
15 fire detection Reference books Öğretim Yöntemleri:
Anlatım
16 mapping floods Reference books Öğretim Yöntemleri:
Anlatım
17 Term Exams Reference books 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 23 23
Total Workload (Hour) 150
Total Workload / 25 (h) 6,00
ECTS 6 ECTS

Update Time: 22.11.2022 12:28