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Lesson 5: "Hard"
Data from Space |
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Objectives: |
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Students will be able to:
- Visually interpret a satellite image
- Construct a land cover map from data
on a satellite image
- Estimate the percentage of
imperviousness for Baltimore City using a satellite image
- Understand the environmental impacts
of impervious surfaces
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Core Learning Goals: |
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Science:
Goal 1 - Skills And Processes:
The student will demonstrate ways of thinking and acting inherent in
the practice of science. The student will use the language and instruments
of science to collect, organize, interpret, calculate, and communicate
information.
Expectation 1.4: The student will demonstrate that data analysis is a vital aspect of
the process of scientific inquiry and communication.
Expectation 1.5:
The student will use appropriate methods for communicating in writing
and orally the processes and results of scientific investigation.
Science: Goal 2 - Concepts Of Earth/Space
Science: The student will
demonstrate the ability to use scientific skills and processes to explain
the physical behavior of the environment, earth, and the universe.
Expectation 2.1:
The student will use a variety of resources to identify techniques
used to investigate Earth and the Universe.
Science: Goal 6 - Environmental Science:
The student will demonstrate the ability to use the scientific skills and
processes and major environmental science concepts to understand
interrelationships of the natural world and to analyze environmental
issues and their solutions
Expectation 6.3 :
The student will analyze the relationships between humans and the earth’s
resources.
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Materials/Resources: |
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For each group:
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Background:
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Impervious surfaces are part of the urban
landscape. They include surfaces such as roads, sidewalks, rooftops, and
parking lots that are constructed from impervious materials such as asphalt,
concrete, brick, and stone. These materials do not allow the natural
infiltration of water from rain or snow and effectively seal the surface.
This can harm water quality and habitat in nearby streams and rivers by
increasing the amount and velocity of runoff, which can lead to severe bank
or channel erosion. In addition, groundwater supplies can be diminished
because less water can infiltrate from the surface. Pollutants on an
impervious surface can be washed into a river system by runoff and are a
major source of nonpoint water pollution. The lack of vegetation on paved
surfaces reduces the amount of evapotranspiration in the area and causes a
localized increase in temperature called a heat island. This heat island
effect, where the impervious area is warmer than the surrounding
countryside, contributes to poor air quality in areas of high
imperviousness, such as cities.
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Some impervious cover is
necessary to our modern way of life. Our roads need to shed water
efficiently to allow safe driving, our roofs need to keep water from
falling on our heads, and sidewalks allow us to stay out of the mud when
it rains. It is not desirable to rid ourselves of all impervious surfaces,
and it is equally undesirable to pave over every natural area we see. A
balance must be reached. Research has shown that when the impervious
surface area of a watershed reaches about 10%, habitat degradation effects
begin to show. (See below) |
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(From http://www.chesapeakebayfromspace.net) |
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http://136.160.141.178/chesapeake/ |
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New development adds to the impervious surface within
its watershed. As new communities are developed, new roads are built,
shopping centers are constructed (with parking lots), and storm drains are
installed. Minimizing impervious surface can help reduce both the cost for
associated governmental services and damage to the environment. For example,
new construction in already established communities is preferable as these
communities already have the physical infrastructure of government services
in place. In addition, by concentrating development within cities and small
towns, planners can preserve large areas of natural land and avoid
fragmentation of habitats.
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Satellite images are one tool that local planners use
to plan for growth and protect sensitive areas. They show land cover -- the
type of feature present on the surface of the earth, such as lakes, forests,
mountains, and urban areas. These different cover types influence the
biodiversity that can be found there. Land cover information can be directly
interpreted from appropriate remote sensing images. Different degrees of
detail can be obtained from different remote sensing products, depending on
the sensor system and image resolution. Satellite images allow for
monitoring of changes in land cover, which becomes increasingly valuable as
long-term studies and planning continue.
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About the Image:
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The image is a Landsat Thematic Mapper image of
Baltimore City, Maryland, acquired by Landsat on March 24th,
2000. Each pixel (small square within the image) represents an area of land
that is thirty meters by thirty meters. The image is made from three
wavelength bands, 4, 5, and 3, which cover the near-infrared, the
mid-infrared, and the red portions of the visible spectrum. Each color in
the image was assigned to one of the three wavelength bands. The red in the
image was assigned to the reflected near-infrared, green was assigned to the
mid-infrared, and blue was assigned to the visible red. The relative ratios
of each color contained in each pixel was calculated and combined by
computer and a final color was determined for each pixel.
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The colors indicate: |
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- Red: vegetation with high photosynthetic activity (e.g. growing grass
or trees in full leaf)
- Orange: vegetation that is not currently photosynthetically active,
lawns
- Green: deciduous forest areas
- Blue/Purple: concrete, roads, cities, other impervious surfaces
- Black: water
- Burnt/Brownish Orange: mix of deciduous trees and lawns; suburban
areas
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Preparation:
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Photocopy
the grid transparency onto an overhead transparency, one for each group.
Choose the group size so that there are satellite images for each group. It
is recommended that six groups are formed, one for each set of ground
truthing data. You may color copy the satellite image for each group.
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Activity 1: Image
Interpretation |
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- Ask students to analyze the patterns
of development within Baltimore City. Your goal is to illustrate the
prevalence of impervious surfaces around Baltimore, as this is a key
indicator of environmental health. Tell students they will prepare a
land cover map for Baltimore City and estimate the percentages of each
type of land cover. Students shall use the satellite imagery to
prepare the land cover map and justify their cover descriptions with
actual ground truth field data from several sites around Baltimore.
Later they can do the same for their own counties.
- Distribute one copy of the satellite
image to each group of students. Give each group of students five to
ten minutes to discuss what they see in the image. Can they identify
key features? To help them, write on the board examples such as water,
roads, parks, stadiums, forests, and piers. What color corresponds to
each land feature? Ask students how they identified the key features.
Have them compare the satellite image to the view from an airplane
window. Have students list all visual clues that help identify
different kinds of land cover. Mention that geometric shapes usually
indicate human-made areas. After the discussion, have each group
present one feature they identified in the image and write the results
on the board or chart paper. Explain that they have begun image
interpretation, the initial stage of land cover mapping.
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Activity 2: Analyzing Land
Cover |
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- Hand out blank transparencies and the
markers and explain that each group will first make a map of the
information on the satellite image. They will lay the blank
transparency over the satellite image and use markers to outline the
boundaries of areas that appear different. (Tracing paper may be
substituted for transparencies.) They should include features such as
high density urban, parks, forest, water, and roads. Using the road
map of Baltimore, add information that relates to the land cover
(road, park, and river names). The result is a land cover map.
- Next ask students to design a legend
for their maps by assigning a symbol or label to each land cover type.
Areas with the same characteristics should be coded with the same
symbol or pattern.
- Hand out the grid transparency to each
group. Have students calculate the area that is covered by each type
of land cover. Explain that they can lay their grid over their map and
simply count the number of squares in each kind of land cover.
(Actually this process produces a relative area.) Note that they
should keep track of fractions of squares. Make a table on the board
to show the class results. Average the area of each kind of land
cover. ( A note about the scale of the image: the horizontal distance
across the top of the image, from east to west, is 51,110 feet 9.68
miles). Students can measure the distance on their images using the
unit of their choice and convert units to miles or kilometers
- Ask students if they were studying
this area, how would they check their interpretation of land use shown
by the image? Explain that ground truthing is a technique that uses
field observations to determine the accuracy of a land cover map made
from a satellite image. Several locations would be chosen (depending
on what the objective of the research is) using the satellite image
and land cover map. The researcher would go to each location and
survey or census the area. Data from the field are provided on the
Ground Truth Field Data Sheet handouts, which you can hand out at this
time. It is recommended that each group receive a different data
sheet.
- Assign each group an area on the image
to ground truth (A, B, C, D, E, or F). Give each group one of the
matching Ground Truth Field Data Sheet to work with. Each data sheet
gives information about the actual ground conditions at the
corresponding point indicated on the image. Have students work
together to ground truth their assigned area. Compare the ground data
to their map for the same area and present their findings to the
class. Using the satellite image, can they find other areas around
Baltimore with the same spectral signature (and thus same ground
cover) as the ground truthed area? What conclusion can they draw about
these other areas? Ask why ground validation is so important for
interpreting satellite imagery. (The only way to check the
interpretation of satellite images is to compare them to sample
measurements made on the ground.) Students can then use a topographic
map to determine where the water falling on their site will go.
- Using the relative areas that were
calculated for each ground cover, calculate the percent coverage for
each type of ground cover as compared to the entire image. Use the
averages previously calculated for the ground cover areas. Write the
results on the board. What is the total percentage of imperviousness
in Baltimore City? Is this surprising? Why or why not? Are the
impervious surfaces clumped together or spread out? Is there any
pattern to the imperviousness? Why is it important to study the land
cover of our area?
- Repeat the above activity with
satellite images of the area around your school or neighborhood, which
you can find at the Chesapeake Bay from Space website at http://www.chesapeakebayfromspace.net
Would their area be classified as mainly urban, suburban, or rural? If
possible, ground truth some points on the image by visiting these
sites and photographing and describing these sites. Have students
determine the percentage of impervious surfaces in this area? What
kinds of patterns of imperviousness are visible? Ask them to compare
and contrast their area with Baltimore City.
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Assessment/Evaluation: |
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Have students write a report
describing the types of land cover found in Baltimore, the relative
percentages of these land covers to the total area of Baltimore, and the
general pattern of imperviousness in the city. |
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Extending the Lesson: |
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Discuss the issue of working
with images of the same area acquired at different times of the year, for
example, Spring and Fall. The image used in this activity was taken in the
early Spring (March). How would an image of the same area acquired in the
summer or fall affect the interpretation? (Many features change with a
seasonal regularity.) |
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Contents
| "Hard"
Data from Space | Ground Truth Field Data Sheet A, B, C,
D, E, or F (provided) Satellite image of Baltimore City
Previous Lesson |
Next Lesson |
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© 2001, Timothy Kerr,
Baltimore City Public Schools. |
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Thanks to the Center for
Geographic Information Sciences, Towson University, and the Smithsonian
Institution's Reflections on Earth: Exploring Planet Earth from Space. |
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