Students are introduced to the Earthrise phenomenon by seeing the Earth as the Apollo 8 astronauts viewed our home planet for the first time from the Moon.  They will analyze a time series of mapped plots of Earth science variables that NASA monitors to better understand the Earth

Chemists study atomic and molecular structures and their interactions. 

Follow along as NASA visualizer Kel Elkins walks you through three visualizations (Dust Crossing, Typhoon Hagupit, and Aquarius Sea Surface Salinity) and answers questions about his work, education, and career.

Software engineers play an important role at NASA as this field supports the success of our missions on Earth and beyond.  This field will continue to grow as it helps NASA address the many challenges that our agency faces.

Check out this interactive data visualization and simulation tool.  It explores the impact of collapsing polar ice sheets (Greenland and Antarctica) and their impact on global mean sea level rise, along with shrinkage in the livable area around the world.

Helping students build their understanding of Earth's spheres and how they are connected is difficult.  Review the graphics to help identify the parts of the Earth System and the processes that connect them at the local, regional, and global scales.

Data scientists work with data captured by scientific instruments or generated by a simulator, as well as data that is processed by software and stored in computer systems. They work with scientists to analyze databases and files using data management techniques and statistics. From changes in sea level,  atmospheric composition, or land use, data scientists help make sense of the petabytes of data that NASA collects and stores.

In this NASA-JPL lesson, students create a model of a volcano, produce and record lava flows, and interpret geologic history through volcano formation and excavation. 

Students model Earth's tectonic plate movement and explore the relationship between these movements and different types of volcanoes.

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.