ESRM 433 - Satellites to Sensors: Remote

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.

Meeting Information

Status: Open
Class Number: 1141
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 1/17/2025 - 5/16/2025
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 0
Available Seats: 24
Wait List Capacity: 15
Wait List Total: 0

Enrollment Information

• Upper Division
• Includes any In Person Meeting