Students analyze Landsat images of Atlanta, Georgia to explore the relationship between surface temperature and vegetation.
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Students will analyze a line graph that shows how the surface temperature and air temperature values change over the course of 24 hours.
Students observe the surface temperatures of a variety of surface types found in a suburban environment.
Students analyze a graph that illustrates the change in global surface temperature relative to 1951-1980 average temperatures.
Students identify and classify kinds of land cover (such as vegetation, urban areas, water, and bare soil) in Landsat satellite images of Phoenix, Arizona taken in 1984 and 2018.
Examine (daytime) surface temperature and solar radiation received at locations found near similar latitudes using NASA Data.
Students analyze surface air temperature anomalies to identify change with respect to different latitudes across the world.
Students will analyze and interpret maps of the average net atmospheric radiation to compare the flow of energy from the Sun toward Earth in different months and for cloudy versus clear days. Students will draw conclusions and support them with evidence.
After learning about the different characteristics of satellite data, students will describe the advantages and disadvantages of using two different satellites to study the Urban Heat Island Effect.
Students will identify and describe the relationship between land cover classification and surface temperature as they relate to the urban heat island effect. Students will also describe patterns between population density and the locations of urban heat islands.