Students observe seasonal images of Monthly Leaf Area, looking for any changes that are occurring throughout the year.

Students can interact with NASA data to build a custom visualizations of local, regional, or global plant growth patterns over time, using the Earth System Data Explorer to generate plots of satellite data as they develop models of this phenomenon.

Students explore the spatial patterns observed in meteorological data and learn how this information is used to predict weather and understand climate behavior.

This NASA visualization shows sea surface salinity observations (September 2011-September 2014). Students review the video and answer questions.

In this activity, students will analyze a NASA sea surface height model of El Niño for December 27, 2015, and answer questions. Then they will be instructed to create a model of their own made from pudding to reflect the layers of El Niño.

This mini lesson engages students by watching a NASA video related to plant growth activity around the world using data from the NASA/NOAA Suomi NPP satellite and answering questions on these stability and change relationships.

Students will identify and describe the relationship between land cover classification and surface temperature as they relate to the urban heat island effect. Students will also describe patterns between population density and the locations of urban heat islands. 

Students interpret a graph of surface temperatures taken from city districts and other types of communities.

This mini lesson engages students in writing a commentary for a NASA video regarding changes in global temperatures from 1880 to 2017. 

Students observe the map image, individually, looking for changes in surface air temperatures (using data displayed, unit of measure, range of values, etc.) and noticeable patterns.