General Info
Instructor: Brian Klinkenberg
Office: Room 209
Office hours: Tues 12:30-1:30
Wed 12:00-1:00
TA: Alex Mitchell
email: ebpvyeuj@mail.ubc.ca
Office hours in Room 115
TBD
This is the third of five lectures being devoted to exploring the characteristics of remotely sensed imagery. In today's lecture we will consider spectral resolution.
Spectral resolution is defined as the width of the region of the EM spectrum recorded as one 'band' or, in some cases, a "channel". Typically this band width is related to the number of wavelength bands recorded by the sensor. Modern sensors can be divided into three broad classes based on their spectral resolution:
In today's lecture I'll provide an overview of spectral resolution and provide examples of the three broad classes. Recall that in Lecture 3 I reviewed the names for each of the different spectral regions (e.g., visible, IR, microwave).
There are several informative web sites that should help you understand how spectral resolution varies in different satellites, and why satellites are designed with different spectral resolutions.
Text: Chapter 2.5.1: Sensing properties
Here is a description of how the signal-to-noise ratio is determined (it gets rather technical quickly); here is a definition of MTF.
Overheads: | Here |