Information
Code | UA0026 |
Name | Remote Sensing and Energy Meteorology II |
Term | 2022-2023 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 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 |