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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 graphical representations of data. This activity requires a graph for students to evaluate.
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
In this activity, you will use satellite images from the NASA Landsat team to quantify changes in glacier cover over time. This lesson utilizes change pair images of Bear Glacier in Kenai Fjords National Park, located on the southeastern portion of Alaska’s Kenai (pronounced: Key-nigh) Peninsula,
The advance-and-retreat cycle of snow cover drastically changes the whiteness and brightness of Earth. Using these two 2017 maps created using NASA satellite data, have students review the seasonal differences of snow and ice extent.
Visualize NASA data on a custom map using our Earth System Data Explorer. Generate your own maps and graphs using a range of datasets supporting this phenomenon.
Check out this the Arctic and Earth SIGNs video to explore how climate models are used in climate change research.
Students are introduced to the Earthrise phenomenon by seeing the Earth as the Apollo 8 astronauts viewed our home planet for the first time from the Moon. They will analyze a time series of mapped plots of Earth science variables that NASA monitors to better understand the Earth Syste
Scientific data are often represented by assigning ranges of numbers to specific colors. The colors are then used to make an images which allow us to see patterns more easily. Students will make a false color image using a set of numbers.
This activity invites students to model and observe the effect of melting ice sheets (from land) on sea level and the difference between the effect of melting sea-ice to that of melting land ice on sea level.
Explore the spatial patterns observed in meteorological data and learn how this information is used to predict weather and understand climate behavior. By observing patterns in data we can classify our observations and investigate underlying cause and effect relationships.