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Many of
the satellite images we see have very different colors
than the ones we are
used to seeing with our own eyes.
Why do satellite images look so different?
Below are two pictures of the exact same location. The picture
on the left is a "true color" image, this means that the picture
shows objects in the same colors that your eyes would normally see.
The picture on the right is a "false color" image, this means that
the colors have been assigned to three different wavelengths
that your eyes might not normally see.
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Images
above show the Chesapeake Bay and the city of Baltimore.
To better
understand this concept, it might be helpful to first study electromagnetic
radiation. All objects emit radiation, albeit in various amounts
and at differing wavelengths. Radiation
travels in a wave-like manner and the distance between wave peaks
is known as the wavelength. When organized by wavelength and
frequency, these emissions collectively form the electromagnetic
spectrum. Let's learn more.
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You probably
know that you should wear sunscreen at the beach because of dangerous
ultraviolet rays, but do you know what ultraviolet rays are? Can you
see them? Maybe you've also heard about infrared sensors used for
detecting heat. But
what is infrared?
Ultraviolet rays and infrared are types of radiant
energy which are outside of the human range of vision. The
diagram below shows the entire electromagnetic spectrum from
high frequency,
short-wavelength
gamma
rays to low frequency,
long-wavelength radio waves. Humans can only
see a very small part of the electromagnetic spectrum, the visible
spectrum (think of
a rainbow).
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Image taken from World
of Beams
Many insects
are able to detect wavelengths that humans are not able to see.
Bees, for example, can detect three colors: ultraviolet, blue,
and yellow, but not red. The ability to see red is actually
rare for all insects. The butterfly is an exception to this rule.
Butterflies are believed to have the widest visual range of any
animal. Various species of
butterfly can detect wavelengths anywhere from 310 nm to 700 nm.
To humans, male and female butterflies may look the same, but butterflies
are able to identify each
other easily because of ultraviolet markings on their wings. Butterflies
and insects are also attracted to ultraviolet nectar of certain
flowers. The photos below other
simulate how humans, bees, and butterflies see the same flower.
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Himalyan
balsam (policeman's helmet)- Impatiens glandulifera
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| Human Vision |
Bee Vision Simulation |
Butterfly Vision Simulation |
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Image taken from
The World as Seen By Butterflies
THINK:
| 5. What
light can a human detect, but not a bee? |
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| 6. What
light can a bee detect but not a human? |
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7. Is
there any light the human or bee can detect,
but not the butterfly? How can you tell? |
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The
ability to detect light beyond the visible spectrum is not
only helpful to insects. Humans
can benefit from seeing non-visible wavelengths as well. How
is this if we can only see visible light?
Humans
cannot see light past the visible spectrum, but satellites
are able to detect wavelengths into the ultraviolet and
infrared. Satellites, like
Landsat 7, fly high above the earth, using instruments to collect
data at specific wavelengths. These data can then be used to
build an image. Satellite instruments
are able to obtain many images of the same location, at the
same time. Each image highlights a different part of the electromagnetic
spectrum.
The
Landsat 7 satellite uses an instrument that collects seven
images at once. Each image shows a specific section of
the electromagnetic spectrum, called a band. Landsat 7 has
seven different bands. The table below shows the seven bands
of Landsat 7.
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Spectral sensitivity of Landsat 7 Bands.
| Band Number |
Wavelength Interval |
Spectral Response |
| 1 |
0.45-0.52 µm |
Blue-Green |
| 2 |
0.52-0.60 µm |
Green |
| 3 |
0.63-0.69 µm |
Red |
| 4 |
0.76-0.90 µm |
Near IR |
| 5 |
1.55-1.75 µm |
Mid-IR |
| 6 |
10.40-12.50 µm |
Thermal IR |
| 7 |
2.08-2.35 µm |
Mid-IR |
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All
of the images above were obtained by Landsat 7 at the same time,
and at the exact same location. If you look closely at the
images, you will see that they do not all look the same. Light
and dark spots in the images appear in different places.
This is because different objects on earth (plants, soil, water,
etc.) reflect different wavelengths of light. The bright spots
on the images show where a lot of light is being reflected.
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The
image to the right is a "true color" image of the desert around
the Salton Sea and Imperial Valley in Southern California.
The American/Mexican border is clearly visible. |
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In
this Band 4 image, the light areas indicate strong reflection
of wavelengths between 0.76 and 0.90 µm; the darker
areas do not strongly reflect in those wavelengths. What do you
think the light areas are?
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Landsat
7
Band Number
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Applications
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| 1 |
coastal
water mapping, soil/vegetation discrimination, forest classification,
man-made feature identification |
| 2 |
vegetation
discrimination and health monitoring, man-made feature
identification |
| 3 |
plant
species identification, man-made feature identification |
| 4 |
soil
moisture monitoring, vegetation monitoring, water body discrimination |
| 5 |
vegetation
moisture content monitoring |
| 6 |
surface
temperature, vegetation stress monitoring, soil moisture
monitoring,
cloud differentiation, volcanic monitoring |
| 7 |
mineral
and rock discrimination, vegetation moisture content |
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For
more details see: Lillesand, T. and Kiefer, R., 1994. Remote
Sensing and Image Interpretation. John Wiley and Sons,
Inc., New York, p. 468.
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Satellites
acquire images in black and white, so how is it possible
to create the beautiful
color images that we see on television, in magazines, and
on the internet? Computers provide us with the answer.
Remember that images created using different bands (or wavelengths)
have different contrast (light and dark areas). Computers
make it possible to assign "false color" to these black
and white images. The three primary colors of light are
red, green, and blue. Computer screens can display an image
in three different bands at a time, by using a different
primary color for each band. When we combine these three
images we get a "false color image".
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To
really understand a false color image, we must know which band
was assigned to each of the three colors.
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THINK:
| 1.
Why can a false color image only display three bands at
a time? |
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| 2.
Why do we call colored satellite images "false color images"? |
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3.
Why is it important to know which band was assigned to
each
color in "false color" images? |
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RGB = NRG
Landsat
7 images are color composites, made by assigning the three
primary colors to three bands of the Enhanced Thematic Mapper
(ETM+) sensor. These images are not color photographs, they
are "false color" images (green fields won't
necessarily look green in the image).
One common way that primary colors are assigned to bands can
be easily remembered using the mnemonic -
RGB
= NRG (Red, Green, Blue = Near Infrared, Red, Green, or "energy")
Red
= Near IR (ETM+ band 4)
Green =
Red (ETM+ band 3)
Blue = Green (ETM+ band 2)
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This
image uses Landsat ETM+ Bands 4,3,2.
The image depicts an area just north of Tokyo, Japan.
This common band combination makes vegetation appear as shades of red,
because vegetation reflects a lot of near infrared light. The brighter
the red, the healthier the vegetation. Soils with little or no vegetation
will range from white (for sand) to greens and browns, depending on moisture
and organic matter content. Water will range from blue to black. Clear,
deep water is dark, and sediment-laden or shallow water appears lighter.
Urban areas look blue-gray. Clouds and snow are both white.
This assignment of colors is only one of many possible combinations.
Any combination of bands can be represented by red, green,
and blue. In the following activity you will have the opportunity
to manipulate the seven bands of Landsat 7.
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False
color satellite images can provide extremely valuable information
about the world we live in. Just as butterflies benefit
from their ability to detect invisible wavelengths, humans
can benefit from the technology of satellite imaging. To
learn more about the many uses of the Landsat satellite, follow
the applications link below.
Geologic
Applications
- Statigraphy, Structure, and Mineral and Petroleum Exploration
Vegetation Applications
- Agriculture, Forestry, and Ecology
Urban and Land Use Applications
Try
your hand at combining Landsat 7 bands. Below are various
combinations of Landsat 7 bands. Click on the combinations
to see what the resulting image looks like.
(Note: the resulting image will be shown in a new
browse window).
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