ESRM 433 - Satellites to Sensors: Remote
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Description
Hours: Three hours lecture per week Prerequisite: ESRM 100; and PHYS 100 or PHYS 101 or PHYS 200 or PHYS 201 or COMP 150; 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.
Units: 3.00
Grading: Letter Grade
| Session | Section | Class # | Type | Days | Time | Location | Instructor | Course Details [Key] |
|---|---|---|---|---|---|---|---|---|
| 1 | 01 | 1141 | LEC | TH | 6:00 PM - 8:50 PM | Sierra Hall 2432 | Benjamin Kuo |
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