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.
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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.
Students analyze four data visualizations focused on the topic of sea level. They use a jigsaw method to explore and communicate their findings with their peers.
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.
CERES Monthly Snow/Ice Percent Coverage - Examine the two time series images to determine the differences between seasonal ice melt over water versus land.
Introduction to the concept of albedo.
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.