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. 

Students observe the surface temperatures of a variety of surface types found in a suburban environment.

Students interpret a graph of surface temperatures taken from city districts and other types of communities.

Students will describe the changes in a newly-formed volcanic island over the first three years of its life.  

A model analyst develops models to help visualize, observe, and predict complicated data. Model analysis is the process of taking large amounts of data and separate it into a structure that makes it intelligible to the binary process of computers. An analyst also manages the flow of information between different user groups through the use of relational databases.

Explore and connect to the GLOBE Urban protocol bundle. 

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 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 engage in a “Zoom In Inquiry” learning routine to understand a world map that shows changes in PM_2.5-attributable mortality per 100,000 population (Bondie, 2013).

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