In this activity, students will analyze past and future eclipse data and orbital models to determine why we don’t experience eclipses every month.
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This lesson, "Awenasa Goes to Camp!," is a data analysis activity that presents maps of NASA Earth satellite data for a variety of locations across the United States for four unidentified months throughout the year. Each location represents a real science camp th
Learners follow adventurous camper, Awenasa, as she travels the United States and attends various camp locations throughout the year. Learners analyze data to find her location among the various campsites using monthly averaged NASA satellite data (Cloud Coverage, Surface (S
Students discuss their current understanding of what Earth systems are and how they work and consider how to identify the boundaries of a region for Earth system study.
Students consider the impact of changing conditions on the remote island of Little Diomede, Alaska after they investigate the relationship between seasonal trends in sea ice extent with shortwave and longwave radiation flux described in Earth’s energy budget.
By investigating the data presented in a model that displays extreme summer air temperatures, students explain energy transfer in the Earth system and consider the impact of excessive heat on local communities.
Students construct explanations about Earth’s energy budget by connecting a model with observations from side-by-side animations of the monthly mapped data showing incoming and outgoing shortwave radiation from Earth’s surface.
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 lesson walks students through the use of Landsat false-color imagery and identification of different land cover features using these as models.