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

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

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. 

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 analyze and compare satellite data of Ocean Chlorophyll Concentrations with Sea Surface Temperatures, beginning with the North Atlantic region, while answering questions about the global patterns of these phenomenon.

Students will use coloring sheets to create a color coded model of El Niño and analyze it. 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. 

Conduct this modified EO Kids mini-lesson with your students to explore the phenomenon of Urban Heat Island Effect.