Use the Data Literacy Cube to guide students’ exploration of data to enrich their observations and inferences. This is a flexible resource that may be used with a variety of graphical representations of data. This activity requires a graph for students to evaluate. Fo
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The advance-and-retreat cycle of snow cover drastically changes the whiteness and brightness of Earth. Using two maps created using NASA satellite data for 2017, students review the seasonal differences of snow and ice extent and answer questions on their observations.
In this activity, we will introduce children to the colors of the sky. Children love to look at clouds. Here we will focus in on the sky in which clouds float. Children will learn why the sky has such a wide range of colors.
Interpret the map, or model, to find patterns in the occurrence of tropical cyclones from 1842 through 2018.
This mini lesson focuses on Landsat satellite data and how it is used to detect changes in land use. Students will answer questions based off of a NASA Video that features how Landsat data are interpreted in the forests of the Pacific Northwest, and gives examples of the effects insects and logging have with land management.
Students analyze Landsat images of Atlanta, Georgia to explore the relationship between surface temperature and vegetation.
Using hourly graphs of PM 2.5 data and HYSPLIT model trajectories, students will collect evidence for the effects of fireworks on air quality.
Students will synthesize information from maps that show population, concentrations of PM2.5, and PM2.5-attributable mortality across the globe in order to draw conclusions about the relationship between particulate pollution and human health.
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 engage in a “Zoom In Inquiry” learning routine to understand a world map that shows changes in PM2.5-attributable mortality per 100,000 population (Bondie, 2013).