In this mini-lesson, students analyze soil moisture quantities associated with Hurricane Harvey around Houston, Texas on August 25, 2017.
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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.
The radar measurements made by NASA's Soil Moisture Active Passive (SMAP) observatory are sensitive to whether land surfaces are frozen or thawed. Students analyze two maps of SMAP data to make inferences about changes to the Arctic's Geosphere showing spring thaw.
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.
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.
Examine data to evaluate the primary land cover in 1900 versus the projected primary land cover in 2100. Discuss the implications of the differences.
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.
Visualize NASA's daily and monthly soil moisture data on a custom map or graph using our Earth System Data Explorer. Generate your own maps and graphs using a range of datasets supporting this phenomenon.
Students interpret a graph of surface temperatures taken from city districts.
Examine a model and answer questions about dust transport around the world.