Reflectance Spectroscopy

These labs in the attached word docs require reflectance spectrometers. We use these: https://www.vernier.com/products/sensors/spectrometers/alta/. The following lab is a modified version of this used in our online ASTR 150 course. I recommend opening an accompanying discussion forum so students can discuss the activity online with each other, your TAs or you to mimic the interaction they would have if they were working on the lab in-person - I have this activity setup as a canvas quiz:

Introduction

In the first half of this course, you learned how important samples are to our understanding of the surface composition, geologic history, and age of a world. We are now encountering worlds in the outer Solar System that we do not have samples from. Therefore we need to use a different method to investigate the surfaces of these new worlds.

One way we can determine the composition of a surface is to measure the light reflected by the surface. The total amount of light reflected by a surface is typically referred to as the albedo of the object and is given as a number between 0 and 1. By itself, the albedo can tell us whether the surface is composed of light or dark material, but we would like to be able to say more about a surface. We would like to know what that light or dark material actually is.

As it turns out, every material reflects light in a specific way – every material has essentially a “spectral fingerprint” that uniquely identifies it, just like your fingerprint is a unique way of identifying you. We get the unique fingerprints of various materials by measuring their reflectance spectrum or the amount of light reflected by the surface across a variety of wavelengths in a laboratory. We then measure the reflectance spectra of the surfaces of worlds in the Solar System and compare their reflectance spectra to the reflectance spectra of materials here on Earth.

Goals

Toady you will learn to use the reflectance spectra of four known samples (anorthosite, olivine, green leaves and basalt) and to use this information to determine the composition of two different surfaces. You will compare the reflectance of the known samples to the reflectance of the two surfaces using two different filters.

When you take an image with a camera, the film records an image of the entire visible spectrum. Most cameras on spacecraft take images only in a small wavelength range, some far beyond the visible part of the electromagnetic spectrum. To take images of just a piece of the spectrum, filters are placed in front of the camera. Two such filters are indicated by the blue shaded regions labeled “1” and “2” on the graph below.

The light that is reflected by any object (or emitted by any source like the Sun and other hot objects) tends to cover a broad range of wavelengths (energies, frequencies). Many times the light we receive is NOT in the visible portion of the electromagnetic spectrum, or in other words, in the range of wavelengths our eyes are sensitive to. That (very narrow) visible range for most humans is roughly between 400-750 nm. This is the range where we see color or the "rainbow" of colors our eyes have evolved to be sensitive to. The figure below shows the color versus wavelength for the visible spectrum along with all of the other wavelengths detected in the universe. Keep in mind, that we only see in the visible portion of the spectrum. If some object emits or reflects light in any wavelength outside of the visible we can not see it; it would essentially appear to not be emitting or reflecting any light whatsoever (even though it is). It would appear to be dark or black to our eyes. Each wavelength has a unique energy and in the visible, a unique color. Objects that reflect a lot of light around 450 nm would appear blue, those reflecting a lot of light at 700 nm would appear red to your eyes. Our Sun is yellow because at its surface temperature of 5700 K, it primarily emits light with a wavelength around 600 nm. Study the figure of the electromagnetic spectrum below. It will be useful in answering some of the questions that will follow.

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Once you are comfortable with the spectrum (wavelengths, colors and energies), use that knowledge along with the following graph and filters to answer the questions.

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Credits:

Adapted from "Astronomy 150: The Planets Course Pack" 2015 by Toby R. Smith, University of Washington

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Question 1

List the four samples from brightest to darkest as seen through filter #1.

Group of answer choices

1 pts

basalt, green leaf, olivine, anorthosite

green leaf, anorthosite, olivine, basalt

anorthosite, green leaf, olivine, basalt

arorthosite, olivine, green leaf, basalt

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Question 2

List the four samples from brightest to darkest as seen through filter #2.

Group of answer choices

1 pts

anorthosite, olivine, green leaf, basalt

green leaf, anorthosite, olivine, basalt

basalt, olivine, anorthosite, green leaf

anorthosite, green leaf, olivine, basalt

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Question 3

Assume that you only have data from filters #1 and #2 - in other words, pretend you can't see the data given between or outside of these filters. For the following question, choose the answer that correctly describes the appearance of the sample in both filters (i.e. which is brighter or darker).

Can you distinguish anorthosite from basalt? If so, how?

Group of answer choices

1 pts

Yes, anorthosite is brighter than basalt in both filters.

No, they look the same in both filters.

Yes, basalt is brighter than anorthosite in both filters.

Yes, anorthosite is brighter than basalt in filter 1 but fainter than basalt in filter 2.

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Question 4

Assume that you only have data from filters #1 and #2. For the following question, choose the answer that correctly describes the appearance of the sample in both filters (i.e. which is brighter or darker).

Can you distinguish olivine from anorthosite? If so, how?

Group of answer choices

1 pts

Yes, olivine is brighter than anorthosite in both filters.

No, they look the same in both filters.

Yes, anorthosite is brighter than olivine in both filters

Yes, anorthosite is brighter than olivine in filter 1 but fainter than olivine in filter 2.

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Question 5

Assume that you only have data from filters #1 and #2. For the following question, choose the answer that correctly describes the appearance of the sample in both filters (i.e. which is brighter or darker).

Can you distinguish basalt from a green leaf? If so, how?

Group of answer choices

1 pts

Yes, basalt is brighter than green leaf in both filters.

No, they look the same in both filters.

Yes, green leaf is brighter than basalt in both filters.

Yes, green leaf is brighter than basalt in filter 1 but fainter than basalt in filter 2.

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Question 6

Assume that you only have data from filters #1 and #2. For the following question, choose the answer that correctly describes the appearance of the sample in both filters (i.e. which is brighter or darker).

Can you distinguish anorthosite from green leaf? If so, how?

Group of answer choices

1 pts

Yes, anorthosite is brighter than green leaf in both filters.

No, they look the same in both filters.

Yes, green leaf is brighter than anorthosite in both filters.

Yes, green leaf is fainter than anorthosite in filter 1 but brighter than anorthosite in filter 2.

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The surfaces of other worlds in our Solar System are rarely composed of pure basalt, olivine, or anorthosite. Mostly, they are a combination of lots of different material, so their reflectance spectra are usually a complicated mess. Actually determining the types and amounts of materials is quite an art. Here is a simple example. The data in the table below are from two different surfaces made up of some combination of the materials presented in this activity.

Print out the data graph (Accessibility score: Low Click to improvereflectance.jpg) and plot and label the data from this table on your data graph and answer the following questions. The plot is getting crowded so be neat!

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Question 7

Consider the entire reflectance spectrum of Surface A. What is its most likely composition?

Group of answer choices

1 pts

anorthosite

olivine

A mix of anorthosite and basalt.

A mix of olivine and basalt.

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Question 8

Consider the entire reflectance spectrum of Surface B. What is its most likely composition?

Group of answer choices

1 pts

green leaf

A mix of green leaf and basalt.

A mix of anorthosite and olivine.

basalt

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Question 9

Now assume that you could only see surface A through filter #1. What color would the sample appear to be to your eyes?

Group of answer choices

1 pts

red

yellow

white

black

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Question 10

Now assume that you could only see surface A through filter #2. What color would the sample appear to be to your eyes?

Group of answer choices

1 pts

red

green

white

black

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Landsat are a series of Earth-observation satellites that have fundamentally changed how we look at our world. The NASA website pretty much says it all: “Landsat: the longest continuous global record of the Earth’s surface. Ever.” The first Landsat was launched in July of 1972 and the eighth in the series was launched February 11, 2013. The Landsat satellites image the Earth at many different wavelengths, including wavelengths in the infrared. They are essentially orbiting reflectance spectrometers!

On the following are two images of Mount St. Helens that were taken by Landsat satellites through a filter that closely corresponds to our filter #2. The image on the left was taken in 1973 and the image on the right was taken ten years later, in 1983. The peak of Mount St. Helens is the dark area center-left in the 1973 image. The peak is in the same spot in the 1983 image. Mount St. Helens erupted on May 18, 1980. It is easy to see the dramatic change from the pre-eruption image to the image taken 10 years later post-eruption. Use these images and your reflectance spectra graph to answer the following questions.

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Question 11

In the 1973 image, Mount St. Helens is surrounded by material that is bright in filter #2. Based on the data you collected, what is this material?

Group of answer choices

1 pts

anorthosite

olivine

green leaf

basalt

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Question 12

In the 1983 image, Mount St. Helens is surrounded by material that is dark in filter #2. Based on the data you collected, what is this material?

Group of answer choices

1 pts

anorthosite

olivine

green leaf

basalt

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Question 13

What is the most likely reason for the change in albedo/material between the 1973 and the 1983 images?

Group of answer choices

1 pts

The images were taken during different seasons.

The volcano erupted.

The snow melted.

The Landsat camera malfunctioned.

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Question 14

Assume it was possible to take a similar Landsat image (in filter #2) of the city of Seattle 200 years ago. How would that image would look different from one taken today?

Group of answer choices

1 pts

It would be brighter (higher albedo).

It would be darker (lower albedo).

It would be about the same (same albedo).

It would not be visible in filter #2.

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Question 15

Assume it was possible to take a similar Landsat image of the Yucatan Peninsula 65 Myrs ago, several months after the KT Impact. How would that image look different from one taken today?

Group of answer choices

1 pts

It would be brighter (higher albedo).

It would be darker (lower albedo).

It would be about the same (same albedo).

I would need to see it in filter #1 to decide.