NASA Earth Observations (NEO) strives to make global satellite imagery as accessible as possible. Here you can browse and download imagery of satellite data from NASA's constellation of Earth Observing System satellites.

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.  

Check out the monthly 2018 images featuring two science variables related to Ocean Circulation: 

• Surface Ocean Current Velocity Vectors (m/s)
• Monthly Near-Surface Wind Vectors (m/s)

Teachers, are you looking for resources to help you engage students in data analysis related to the Urban Heat Island in North America?

Check out the images featuring two science variables related to Urban Heat Islands: Monthly Surface Air Temperature (degrees Celsius) &  Monthly Daytime Skin Temperature (degrees Celsius).

Background information on soil moisture.

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)

What is the hydrosphere and why is it important?

Image Credit: NASA

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's system is characterized by the interaction of processes that take place on molecular (very small) and planetary (very large) spatial scales, as well as on short and long time scales. Before scientists may begin their work with these data, it is important that they understand what the data are.