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

Information from satellites if often used to display information about objects. This information can include how things appear, as well as their contents. Explore how pixel data sequences can be used to create an image and interpret it.

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

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

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

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

This mini lesson focuses on the 2015-2016 El Niño event and how its weather conditions triggered regional disease outbreaks throughout the world. Students will review a NASA article and watch the associated video to use as a tool to compare with maps related to 2015-2016 rainfall and elevated disease risk, and answer the questions.

This video provides tips for teachers on helping students make sense of data to help them understand and work with data. It is based on the work of Kristin Hunter-Thomson of Dataspire.org and uses data from the My NASA Data Earth System Data Explorer.

This lesson plan provides some generic maps, graphs, and data tables for use with the Data Literacy Cube. Because it is a differentiated resource, this lesson plan is appropriate for multiple grade bands.