Use the Data Literacy Cube 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 evalu
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Students examine the two time series images to determine the differences between seasonal ice melt over water versus land.
Our Data Literacy Cube Page (and supporting resources) have been updated! The new resources include only 1 cube for all three (maps, graphs, and data) Question Sets, Lexile levels, and addresses WIDA standards for multilingual learners!
In this lesson, Observing Earth’s Seasonal Changes, students observe patterns of average snow and ice amounts as they change from one month to another, as well as connect the concepts of the tilt and orbit of the Earth (causing the changing of seasons) with monthly snow/ice data from January 2008
Examine (daytime) surface temperature and solar radiation received at locations found near similar latitudes using NASA Data.
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.
The Earth System Satellite Images, along with the Data Literacy Cubes, helps the learner identify patterns in a specific image.
The Earth System Satellite Images, along with the Data Literacy Cubes, helps the learner identify patterns in a specific image.
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.
The Earth System Satellite Images, along with the Data Literacy Cubes, help the learner visualize how different Earth system variables change over time, establish cause and effect relationships, identify patterns, and determine relationships among variables.