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

Interpret a scatter plot to find patterns in the number of tropical cyclones from 1842 to 2018.

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

The My NASA Data Literacy Cubes guide students’ exploration of graphs, data tables, and mapped images of NASA Earth science data (or other sources of Earth data). Leveled question sheets provide opportunities for students to connect with data, regardless of language proficiency or academic skill. 

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 analyze two North Pole orthographic data visualizations produced from soil moisture data. After describing trends in the seasonal thaw of land surfaces, students demonstrate their understanding of Earth’s energy budget by explaining relationships and make predictions about the dataset.

Compare a histogram and map to determine the differences in the information conveyed in each data display.

Students analyze four data visualizations focused on the topic of sea level.  They use a jigsaw method to explore and communicate their findings to their peers.

Students examine satellite images of a recently formed island to identify areas of erosion and deposition.

Students categorize causes, effects, and responses to volcanic hazards through an Earth system perspective. They use remotely sensed images to examine the visible effects of the eruption of Mount St. Helens in 1980 and identify a buffer zone for safer locations for development.