The El Niño Implementation Sequence provides a series of lessons and activities for students to learn about a condition that sometimes occurs in the Pacific Ocean, but it is so big that it affects weather all over the world.
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Students will analyze a pie chart (circle graph) showing the distribution of different parts of the Earth system's absorption and reflection of energy.
Scientific data are often represented by assigning ranges of numbers to specific colors. The colors are then used to make false color images which allow us to see patterns more easily. Students will make a false-color image using a set of numbers.
In this NASA-JPL lesson, students create a model of a volcano, produce and record lava flows, and interpret geologic history through volcano formation and excavation.
Students will analyze a projected map of the April 8, 2024 total solar eclipse across the US, with an accompanying data table of the locations and times, to explain how people in different locations experience a solar eclipse.
This hands-on activity is the construction of an extended coverage area of eclipse glasses to provide extra protection for safely viewing a solar eclipse. This makes it harder to look outside the lenses on the eclipse glasses.
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 walks students through the use of Landsat false-color imagery and identification of different land cover features using these as models.
Learn about the different cloud types and their names. Match cloud photos and names by cloud type and for all types. Evaluate the types of clouds represented in various data displays.
The My NASA Data Literacy Cubes guide students’ exploration of graphs, data tables, and mapped images of NASA Earth science data (or other sources of Earth data). Leveled question sheets provide opportunities for students to connect with data, regardless of language proficiency or academic skill.