Students will examine air temperature data collected through The GLOBE Program during the 2017 US solar eclipse.

Students analyze surface air temperature anomalies to identify change with respect to different latitudes across the world.

Students will analyze how surface (skin) temperatures vary across a community and determine what factors contribute to this variation. Students will describe how human activity can affect the local environment. 

NASA visualizers take data – numbers, codes – and turn them into animations people can see and quickly understand.

Students will analyze a line graph that shows how the surface temperature and air temperature values change over the course of 24 hours.

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 analyze Landsat images of Atlanta, Georgia to explore the relationship between surface temperature and vegetation.

Students visit a NASA Website called "Eyes on the Earth" to view satellite missions in 3D circling the Earth and learn to navigate to specific satellites to learn about their capability of analyzing our changing planet and air quality.

Students will use coloring sheets to create a color coded model of El Niño, then make comparisons using the actual model by answering questions. If the Data Literacy Map Cube is used with this, students will color their models first.

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.