Earth is made up of five major parts or subsystems: the Atmosphere, Hydrosphere, Biosphere, Cryosphere, and Geosphere. Each major part is connected to the other parts in a complex web of processes.
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Explore the energy and matter cycles found within the Earth System.
This video is a resource that can be used alongside any activity that involves creating and developing questions. While the video focuses on questions about trees, the basic principles are necessary for asking scientific questions.
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.
An urban heat island is a phenomenon that is best described when a city experiences much warmer temperatures than in nearby rural areas. The sun’s heat and light reach the city and the country in the same way. The difference in temperature between urban and less-developed rural areas has to do with how well the surfaces in each environment absorb and hold heat.
Earth is a system of systems.
My NASA Data has recently released several new resources, StoryMaps, for use in educational settings.
Teachers, are you looking for resources to help you engage students in data analysis related to Global Phytoplankton Distribution?
Check out the monthly 2018 images featuring two science variables related to Phytoplankton Distribution: Chlorophyll Concentration (milligrams per cubic meter) & Monthly Flow of Energy into Surface by Shortwave Radiation (watts per square meter)
The My NASA Data visualization tool, Earth System Data Explorer (ESDE), helps learners visualize complex Earth System data sets over space and time. Visit this page to review the datasets we have available to you and their organization by Earth System sphere, science variable, dataset name, and start/end dates.
The Earth System Satellite Images help students observe and analyze global Earth and environmental data, understand the relationship among different environmental variables, and explore how the data change seasonally and over longer timescales.