Class Number: 1141
Description: Hours: Two hours lecture and three hours laboratory per week
Prerequisite: ESRM 100; and ESRM 228 or ESRM 328
Description: Environmental scientists around the world utilize large datasets collected through remote sensing methods in their research. Remote sensing allows us to collect, process, and analyze data from global scale down to point scale, as well as to look back in time through data archives and make predictions about future of our climate and environment. In this course, students will be introduced to broad variety of remote sensing techniques and datasets, learn how to manage and make sense of big environmental data, and understand process for selecting appropriate remote sensing data for individual environmental questions with consideration to cost, scale, collection frequency, type, coverage, and availability. We will discuss and critically analyze use of remote sensing techniques on problems in fields of climate change, land use change, early warning and monitoring for natural disasters, and global-scale environmental modeling.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| TH | 06:00 PM - 08:50 PM | 01/17/2025 - 05/16/2025 | Sierra Hall 2432 | Benjamin Kuo |
Status: Open
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Start Date: 01/17/2025
End Date: 05/16/2025
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 10
Available Seats: 14
Wait List Capacity: 15
Wait List Total: 0
Textbook / Other Materials
Textbook Status: Required
ISBN: 9781118919453
Title: Remote Sensing and Image Interpretation
Author: Lillesand
Publish: John Wiley & Sons, Incorporate
Textbook Status: Required
ISBN: 9781118343289
Title: Remote Sensing & Image Interpretation
Author: Lillesand
Publish: John Wiley & Sons, Incorporate
More textbook information including prices
Enrollment Information
- Upper Division
- In-Person