Teachers who are interested in receiving the answer key, please contact MND from your school email address at larc-mynasadata@mail.nasa.gov.

Students observe monthly images of changing vegetation patterns, looking for seasonal changes occurring throughout 2017.

Teachers who are interested in receiving the answer key, please contact MND from your school email address at larc-mynasadata@mail.nasa.gov.

Drought conditions have affected much of the U.S. Southwest and Central Plains in recent years. But scientists now believe future droughts in the last half of this century could be the worst in the past millennium.

Whether naturally occurring or set by humans, fires' effects reach far beyond ravaged lands. Combining satellite observations of fires with a computer model reveals the fires also affect air quality, health, and climate.

Identifying cause and effect relationships can help us make predictions about the function of natural systems and their impact on the world. These relationships, whether simple or complex, are vital for forecasting weather and predicting Earth events in new contexts.

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.

This mini lesson helps students visualize how the Hydrosphere and Cryosphere interact to produce changes in land and sea ice. 

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.

 Students observe seasonal images of Monthly Normalized Difference Vegetation, looking for any changes in vegetation that are occurring throughout the year.