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2024　Remote Sensing for Hydrometeorology

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Academic unit or major
Graduate major in Civil Engineering
Instructor(s)
Utsumi Nobuyuki 
Class Format
Lecture    (Face-to-face)
Media-enhanced courses
Day/Period(Room No.)
Tue5-6(W9-327(W936))  Fri5-6(W9-201(W921))  
Group
-
Course number
CVE.B402
Credits
2
Academic year
2024
Offered quarter
2Q
Syllabus updated
2024/3/14
Lecture notes updated
-
Language used
English
Access Index

Course description and aims

This course focuses on remote sensing of hydrologic cycle and meteorological phenomena related to water. Specifically, the course emphasizes remote sensing of rainfall and snowfall, which are crucial for water disaster management, water resource management, agriculture, and climate change monitoring.
The course begins by covering the basics of electromagnetic waves used in remote sensing, with a particular focus on microwaves. Students will also explore the principles and characteristics of remote sensing for hydrometeorology using various instruments such as ground-based radar and sensors on artificial satellites. Furthermore, students will gain practical experience by analyzing remote sensing data, applying the foundational knowledge discussed in the lectures. This hands-on approach enhances their understanding of the course material.

Student learning outcomes

(1) Students will be able to describe the fundamental principles and characteristics of remote sensing related to hydrometeorology.
(2) Students will be capable of performing basic analysis of remote sensing data.

Keywords

Precipitation, Hydrologic cycle, Hydrometeorology, Satellites, Remote Sensing

Competencies that will be developed

✔ Specialist skills Intercultural skills Communication skills Critical thinking skills ✔ Practical and/or problem-solving skills

Class flow

At the end of each lecture session, there will be a brief quiz or assignment. Additionally, during class hours, students will have the opportunity to engage in hands-on analysis of remote sensing data using computers. Therefore, it is essential for participants to bring a laptop computer with internet connectivity to class.
In addition to quizzes and assignments, each student will present their final project during the 14th lecture session.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Orientation An overview of the course format and objectives will be provided.
Class 2 Fundamentals of Hydrometeorology and Remote Sensing Introduction to the hydrometeorological phenomena covered in the course and the basics of remote sensing.
Class 3 Fundamentals of Electromagnetic Waves Fundamental principles of electromagnetic waves used in remote sensing.
Class 4 Microwaves and the Atmosphere, Earth's Surface (Part 1) Focus on microwaves, one of the key electromagnetic waves used in remote sensing, and their relation to the atmosphere and the earth's surface.
Class 5 Microwaves and the Atmosphere, Earth's Surface (Part 2) Continuation of the previous session, discussing the connection between microwaves and the atmosphere and the earth's surface.
Class 6 Microwaves and Precipitation Explanation of the relationship between microwaves and precipitation.
Class 7 Precipitation Remote Sensing Using Microwave Radiometers, Explanation of Final Project Introduction to the fundamental principles and characteristics of precipitation (rain and snow) remote sensing using microwave radiometers. Explanation of the final project.
Class 8 Precipitation Remote Sensing Using Radar Fundamental principles and characteristics of precipitation (rain and snow) remote sensing using radar.
Class 9 Precipitation Remote Sensing Using Visible and Infrared Sensors Introduction to the fundamental principles and characteristics of precipitation (rain and snow) remote sensing using visible and infrared sensors.
Class 10 Characteristics of Various Precipitation Remote Sensing Data Comparison and explanation of the characteristics of precipitation remote sensing data obtained from various sensors and methods.
Class 11 Applications of Precipitation Remote Sensing Data Presentation of practical applications based on the characteristics of various precipitation remote sensing data.
Class 12 Remote Sensing of Various Water-Related Phenomena (Other than Precipitation) Explanation of various water-related remote sensing topics, including oceans, rivers, lakes, and snow and ice.
Class 13 Analysis of Remote Sensing Data (Part 1) Conducting remote sensing data analysis in preparation for the final project presentation.
Class 14 Analysis of Remote Sensing Data (Part 2) Final project presentation.

Out-of-Class Study Time (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)

None

Reference books, course materials, etc.

Lecture materials will be uploaded to the T2SCHOLA. Following book will be also referred.
Petty, G. W., 2006: A First Course in Atmospheric Radiation. 2nd Edition. Sundog Publishing.

Assessment criteria and methods

Quizzes / Assignments (50%)
Project report (50%)

Related courses

  • CVE.B401 ： Water Resource Systems
  • GEG.E411 ： Atmospheric Environment in Megacities
  • TSE.A315 ： Introduction to Meteorology
  • CVE.B311 ： River Engineering
  • TSE.A314 ： Introduction to Water and Mass Transport in the Environment
  • GEG.E412 ： Hydrology and Water Resources Conservation

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Laptop computer with an internet connection is required in the lecture.

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