Students observe monthly images of changing vegetation patterns, looking for seasonal changes occurring throughout 2017. These data can be used by students to develop their own models of change.

This StoryMap lesson plan allows students to explore ocean circulation patterns as they relate to the world's ocean garbage patches using NASA ocean currents data. Students will investigate the forces that contribute to ocean circulation patterns, and how debris, especially plastics, travel from land to the garbage patches. 

Students analyze the relationship between sea surface height and ocean surface currents by graphing sea height using satellite data.  Note: This lesson is modified from NASA's TOPEX/Poseidon lesson plan.

The fires in Greece during the summer of 2007 devastated large tracks of forest and ground cover in this Mediterranean region. Students analyze these data to determine the scale, area, and percentage of the forest impacted by of these fires.

Explore and connect to hydrosphere protocols in GLOBE. Each protocol has related Earth System Data Explorer datasets identified as well.

Explore and connect to the GLOBE Mosquito protocol bundle. 

Explore and connect to the GLOBE Rivers and Lakes protocol bundle. 

Explore and connect to the GLOBE Air Quality protocol bundle. 

A model analyst develops models to help visualize, observe, and predict complicated data. Model analysis is the process of taking large amounts of data and separate it into a structure that makes it intelligible to the binary process of computers. An analyst also manages the flow of information between different user groups through the use of relational databases.

At the core of scientific visualization is the representation of data graphically - through images, animations, and videos - to improve understanding and develop insight. Data visualizers develop data-driven images, maps, and visualizations from information collected by Earth-observing satellites, airborne missions, and ground measurements. Visualizations allow us to explore data, phenomena and behavior; they are particularly effective for showing large scales of time and space, and "invisible" processes (e.g. flows of energy and matter) as integral parts of the models.