Examine (daytime) surface temperature and solar radiation received at locations found near similar latitudes using NASA Data.

This hands-on activity uses the kitchen sink to model the properties of the boundary of the heliosphere and takes learners through the scientific processes used in investigations: Making observations, using models, and communicating results.

My NASA Data has recently released several new resources, StoryMaps, for use in educational settings.

This resource helps to identify and access GLOBE protocols and hands-on learning activities that complement the Urban Heat Island Effect phenomenon. 

GLOBE protocols can be used to collect many types of data to examine urban heat islands and their effects on the environment. Students can use the protocols to collect data and share their data with other GLOBE students around the world. Students can also conduct their own investigations and see how their data related to global patterns by using GLOBE and My NASA Data together.

Air quality is a measure of the pollution level in the air. Polluted air can be caused by many things. There are manmade and natural sources of emissions. 

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: "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?"

Learn about what a solar scientist does and see if you have any skills in common.

This video addresses the following question: "We know that the science you do is driven by the big questions around Earth System Science. Could you please describe how you shape the questions that you ask before, during, and after you have collected data, how do you initially look at these data to help explore your initial set of questions?"

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.