Conduct this modified EO Kids mini-lesson with your students to explore the phenomenon of Urban Heat Island Effect.
Conduct this modified EO Kids mini-lesson with your students to explore the phenomenon of Urban Heat Island Effect.
In this activity, students explore the Urban Heat Island Effect phenomenon by collecting temperatures of different materials with respect to their locations. This activity was modified from The NASA PUMAS Collection's "What makes
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.
Teachers, are you looking for resources to help you engage students in data analysis related to the Urban Heat Island in North America?
Check out the images featuring two science variables related to Urban Heat Islands: Monthly Surface Air Temperature (degrees Celsius) & Monthly Daytime Skin Temperature (degrees Celsius).
This StoryMap allows students to explore the urban heat island effect using land surface temperature and vegetation data in a 5 E-learning cycle. Students investigate the processes that create differences in surface temperatures, as well as how human activities have led to the creation of urban heat islands.
Students interpret a graph of surface temperatures taken from city districts and other types of communities.
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.
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.
Explore and connect to the GLOBE Urban protocol bundle.
The extreme temperatures during July 2022 prompt students to investigate a model that displays historical heat wave frequency data to discover the importance of defining terms when interpreting data.