This mini-lesson guides students' observations of soil moisture anomalies (how much the moisture content was above or below the norm) for the continental US in May 2018.

NASA visualizers take data – numbers, codes – and turn them into animations people can see and quickly understand.

The activities in this guide will help students understand variations in environmental parameters by examining connections among different phenomena measured on local, regional and global scales.

Students review Earth System phenomena that are affected by soil moisture.  They analyze and evaluate maps of seasonal global surface air temperature and soil moisture data from NASA satellites. Building from their observations, students will select a location in the U.S.

Remote sensing scientists use sensors to analyze data and solve regional, national and global concerns. For instance, natural resource management, urban planning, and climate and weather prediction are applications of remote sensing. Many scientists develop new sensor systems, analytical techniques, or new applications for existing systems. 

What is the hydrosphere and why is it important?

Environmental engineers use the basis of engineering, soil science, biology, and chemistry to develop solutions to problems in the environment. Some of their efforts involve recycling, waste disposal, public health, water and air pollution control. Many are engaged in solving practical, yet global issues such as unsafe drinking water, climate change, and environmental sustainability.

In this activity, students explore three indicators of drought are: soil moisture, lack of precipitation, and decreased streamflows. Students investigate each of these parameters develop a sense for the effects of drought on land.

Elizabeth Forsbacka is an instrument manager. She leads a diverse team to design, build and test Earth or space science instruments. She says "My job is to build a good team that can do it all. Our work from design through delivery of the spacecraft usually takes about four years." See what it's like to work on this sort of project.

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.