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Use the Data Literacy Cubes to guide students’ exploration of mapped data of the Earth System to enrich their observations and inferences. This is a flexible resource that may be used with a variety of mapped images. This activity requires a map of Earth data for students to evaluate.
Use the Data Literacy Cubes 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 data, whether the data originates from students' investigations with personally-collected data or data that they have acc
Students graph sea ice extent (area) in both polar regions (Arctic and Antarctic) over a three-year period to learn about seasonal variations and over a 30-year period to learn about longer-term trends.
This series of videos highlights how NASA Climate Scientists use mathematics to solve everyday problems. These educational videos to illustrate how math is used in satellite data analysis.
This activity is one of a series in the collection, The Potential Consequences of Climate Variability and Change activities.
This digital badge will introduce you to Veggie, a project taking place at the Space Station Processing Facility, at Kennedy Space Center. The badge provides educators with the background information they need to incorporate this project into the classroom.
This activity is designed to introduce students to geologic processes on Earth and how to identify geologic features in images. It will also introduce students to how scientists use Earth to gain a better understanding of other planetary bodies in the solar system.
Using the various visualizations (i.e., images, charts, and graphs) from 2016 Hurricane Matthew, students explore the energy exchange that occurs when hurricanes extract heat energy from the ocean.
Check out this hands-on demonstration of the El Niño Effect, trade winds, and upwelling provided by NASA's Jet Propulsion Lab
Credit: JPL's Sea Level Program
The purpose of this lesson is for students to compare data displays to determine which best answers the driving question. To do this they will evaluate the spread of the data and what the displays show.