Carbon dioxide concentration in the atmosphere is affected by many processes including fires, deforestation, and plant respiration. Students will evaluate a Landsat image to determine the rate of carbon dioxide sequestration in a particular area.

Students analyze surface air temperature anomalies to identify change with respect to different latitudes across the world.

Compare images from two volcanic eruptions in the Kuril Islands which occurred ten years apart and complete a graphic organizer for impacts on different Earth spheres. 

The Earth System Satellite Images, along with the Data Literacy Cubes, helps the learner identify patterns in a specific image.  

This video addresses the following question: "We know that there are a number of ways that data can be visualized. Would you please describe your process for looking at the same data as represented by different graph types and how this helps inform your meaning making from the data?"

Joshua Stevens,Lead for Data Visualization for NASA Earth Observatory at NASA Goddard Space Flight Center. Learn how he translates data from NASA missions and instruments into intuitive maps, charts and graphics which meet high quality standards and are consistent with current research.

This video addresses the following question: "We know that science is very much an iterative process. Can you describe for us your process for developing your follow-up questions after you have interpreted a set of data?"

This video addresses the following question: "As you think about exploring the data that you have collected, what are the approaches that you use to organize your data and/or process your data before you make meaning from the data?"

This video addresses the following question: "As you look at a data set(s) that has been collected, could you help us understand how you use data visualizations to shape new questions to explore further in the data set(s)?"

This video addresses the following question: "As you think about how you use data visualization(s) to communicate your findings with others, can you describe how you refine the visualization(s) that you present to better support the story that you are sharing with the data visualization?"