| Academic Year |
2024Year |
School/Graduate School |
Graduate School of Humanities and Social Sciences (Master's Course) Division of Humanities and Social Sciences International Economic Development Program |
| Lecture Code |
WMH02501 |
Subject Classification |
Specialized Education |
| Subject Name |
Remote Sensing for Social Sciences |
Subject Name
（Katakana） |
シャカイカガクノタメノリモートセンシング |
Subject Name in
English |
Remote Sensing for Social Sciences |
| Instructor |
KONDO MASAYUKI |
Instructor
(Katakana) |
コンドウ マサユキ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, 4Term |
| Days, Periods, and Classrooms |
(4T) Weds5-8：IMC-Main 2F PC Rm |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
E
:
English |
| Course Level |
5
:
Graduate Basic
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| Eligible Students |
|
| Keywords |
remote sensing, satellite observations, disaster countermeasures, climate action, policy making, social science |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
Remote sensing is a measurement method that utilizes the properties of materials that reflect and absorb light. In this class, I will give lectures on the basics of remote sensing related to earth monitoring and its application to social sciences. The second half of each class is devoted to exercises, in which remote sensing data are used practically to deepen understanding. |
| Class Schedule |
lesson1 Fundamentals of remote sensing 1
lesson2 Exercise 1: basic exercise 1
lesson3 Fundamentals of remote sensing 2
lesson4 Exercise 2: basic exercise 2
lesson5 Remote sensing of artificial night light
lesson6 Exercise 3: artificial night light and economic strength
lesson7 Ecosystem remote sensing
lesson8 Exercise 4: global vegetation distribution
lesson9 Remote sensing of land cover
lesson10 Exercise 5: land cover changes
lesson11 Remote sensing of rainfall
lesson12 Exercise 6: drought and floods in the world
lesson13 Fire remote sensing
lesson14 Exercise 7: large-scale fire damages
lesson15 Remote Sensing of Atmospheric Substances I: Ozone and
Aerosol
Exercise 8: current state of air pollution
Comprehensive evaluation based on 8 reports |
Text/Reference
Books,etc. |
I will distribute the PDF of class materials. |
PC or AV used in
Class,etc. |
|
| (More Details) |
|
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Programming is required. I highly recommend doing some basic preparation in advance. |
| Requirements |
|
| Grading Method |
Attendance (2.5%) x 8, Report (10%) x 8 |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
I welcome everyone who touches remote sensing for the first time regardless of field. |
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |