This graphic organizer may be used to help students analyze the processes and components of Earth System phenomena.
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NASA Worldview is a free online visualization tool that is a great launchpad for learners who are new (or veteran) users of satellite data.
An urban heat island is a phenomenon that is best described when a city experiences much warmer temperatures than in nearby rural areas. The sun’s heat and light reach the city and the country in the same way. The difference in temperature between urban and less-developed rural areas has to do with how well the surfaces in each environment absorb and hold heat.
This video provides tips for teachers on helping students make sense of data to help them understand and work with data.
The Geosphere is associated with solid portions of the Earth. It includes the continental and oceanic crust and all other layers of the Earth's interior. This includes all rocks, sediments and soils, surface landforms and the processes that shape the Earth's surface.
Information from satellites if often used to display information about objects. This information can include how things appear, as well as their contents. Explore how pixel data sequences can be used to create an image and interpret it.
Scientific data are often represented by assigning ranges of numbers to specific colors. The colors are then used to make false color images which allow us to see patterns more easily. Students will make a false-color image using a set of numbers.
Teachers who are interested in receiving the answer key, please contact MND from your school email address at mynasadata@lists.nasa.gov.
Learn how Landsat data are used to detect changes in land use. This video describes how the data are interpreted and gives examples of changes in forests from different insects and differences due to land management.
The My NASA Data visualization tool, Earth System Data Explorer (ESDE), helps learners visualize complex Earth System data sets over space and time. Visit this page to review the datasets we have available to you and their organization by Earth System sphere, science variable, dataset name, and start/end dates.