Hiroshima University Syllabus

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Academic Year 2023Year 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
Subject Name in
Remote Sensing for Social Sciences
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
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
(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
lesson2  Exercise 1: basic exercise
lesson3  Remote sensing of artificial night light
lesson4  Exercise 2: artificial night light and economic strength
lesson5  Ecosystem remote sensing
lesson6  Exercise 3: global vegetation distribution
lesson7  Remote sensing of land cover
lesson8  Exercise 4: land cover changes
lesson9  Remote sensing of rainfall
lesson10 Exercise 5: drought and floods in the world
lesson11 Fire remote sensing
lesson12 Exercise 6: large-scale fire damage
lesson13 Remote Sensing of Atmospheric Substances I: Ozone and
lesson14 Exercise 7: current state of air pollution
lesson15 Remote sensing of atmospheric substances II: CO2, CH4
              Exercise 8: current status of greenhouse gases

Comprehensive evaluation based on 8 reports 
I will distribute the PDF of class materials before class. 
PC or AV used in
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Learning techniques to be incorporated  
Suggestions on
Preparation and
Please read the handouts distributed in advance. I also encourage students to explore new materials on their own. 
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. 
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. 
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