A spectral signature is the pattern of spectral response for a particular material. In this topic, we will focus on what influences a spectral signature and how we can illustrate one. This is important because in remote sensing we use spectral signatures to distinguish between land-cover types and other surface characteristics.
Topic Readings
Required Readings
There are no required readings.
Optional Readings
Shellito, B.A. (2014). Chapter 10: How Remote Sensing Works. In E. Bruno (Ed.), Introduction to Geo-Spatial Technologies (2nd ed., pp. 335-337). New York, NY: W.H. Freeman and Company.
Assignment/Lab 4: What Can I See? The Electromagnetic Spectrum, Wavelengths and Spectral Signatures.
Assignment/Lab 4 is due this week. Be sure to send in the assignment in Assignment 4 dropbox by 11:59pm on Friday this week.
Topic Summary
Understanding the spectral signature of leaves has led remote sensing analysts to be able to classify different types of forests and predict vegetation health. This is particularly important in forestry when surveying landscapes to evaluate the effects of harvest and determine a sustainable management plan.
Topic Self-review (For self learning)
Please use the reflection questions below as study guide to conduct self-review for the topic.
What are the spectral signatures for clear water, turbid water, vegetation, soil, ice and clouds? Draw them on a graph from 400 – 2500nm
At what wavelengths would you expect soil to have higher reflectance than water?
In what part of the spectrum does healthy vegetation have the highest reflectance?
Why do leaves appear green except for during senescence/stress?
Describe some ways in which the NDVI has been improved upon and applied in different situations
FODE009
Requirements Changed
Topic 2.1: The Basics of the Electromagnetic Spectrum Module II Summary