2024 Faculty Courses School of Environment and Society Undergraduate major in Transdisciplinary Science and Engineering
Introduction to Remote sensing
- Academic unit or major
- Undergraduate major in Transdisciplinary Science and Engineering
- Instructor(s)
- Yasuko Kasai
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 1-2 Fri
- Class
- -
- Course Code
- TSE.A344
- Number of credits
- 100
- Course offered
- 2024
- Offered quarter
- 4Q
- Syllabus updated
- Mar 14, 2025
- Language
- English
Syllabus
Course overview and goals
Satellite remote sensing" grasps the actual state of the Earth by observing from space. The lecture includes 0) the Earth, the moon, and the planets of the solar system as objects of observation, 1) the basics such as observation principles, 2) An analysis algorithm that estimates physical quantities such as amount of greenhouse gases from observational data. 3) Application examples using machine learning analysis, etc. (e.g., understanding the current situation on Earth in the Ukraine and Israeli conflicts). Remote sensing, which obtains information using interaction between electromagnetic waves and matter, can obtain information as far as the ends of the universe. Since it is an indirect method, its analysis algorithm includes mathimatical algorithms. Lectures will be given especially from the perspective of a data-driven society.
Course description and aims
Understand of satellite remote sensing from principles to applications
Keywords
Interaction between electromagnetic waves and matter, Remote sensing, Earth, Planet, Moon, Jupiter, Satellite
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
Lecture
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Basics of remote sensing I: Observation system (Earth, solar system, moon, etc.) | None |
| Class 2 | Basics of remote sensing I: Observation system (Earth, solar system, moon, etc.) | None |
| Class 3 | Basics of remote sensing I: Interaction between electromagnetic-waves and physical constituenets / Quantum chemistry | None |
| Class 4 | Basics of remote sensing II: Principles of satellite remote sensing observation | None |
| Class 5 | Basics of remote sensing II: Satellite system and sensor system to obtain observation data | None |
| Class 6 | Algorithm that estimates physical quantities such as greenhouse gases and lunar resources from observational data using AI methods | None |
| Class 7 | Application examples using machine learning analysis etc | None |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
Introduction to Atmospheric Chemistry by Peter V. Hobbs, Tools of Radio Astronomy by Thomas L. Wilson
Reference books, course materials, etc.
Introduction to Atmospheric Chemistry by Peter V. Hobbs, Tools of Radio Astronomy by Thomas L. Wilson
Evaluation methods and criteria
Examination
Related courses
- TSE.A305 ： Electromagnetics (TSE)
- MAT.P201 ： Quantum Chemistry A
- CHM.C332 ： Quantum Chemistry
- EPS.A351 ： Advanced Lecture on Earth and Planetary Sciences A
- TSE.A315 ： Introduction to Meteorology
- MAT.P202 ： Quantum Chemistry B
- EPS.A338 ： Earth System Science
Prerequisites
Preferably studying electromagnetism and quantum chemistry