Students explore albedo, sea ice, and the relationship between changing albedo and changing sea ice using data visualizations.
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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 mini lesson helps students visualize how the Hydrosphere and Cryosphere interact to produce changes in land and sea ice.
Students analyze two North Pole orthographic data visualizations produced from soil moisture data. After describing trends in the seasonal thaw of land surfaces, students demonstrate their understanding of Earth’s energy budget by explaining relationships and make predictions about the dataset.
Students will synthesize information from maps that show population, concentrations of PM2.5, and PM2.5-attributable mortality across the globe in order to draw conclusions about the relationship between particulate pollution and human health.
Students will use the NASA Earth Observations analysis tool to explore changing albedo in the Arctic compared with other areas of Earth.
Carbon dioxide concentration in the atmosphere is affected by many processes including fires, deforestation, and plant respiration. Students will evaluate a Landsat image to determine the rate of carbon dioxide sequestration in a particular area.
Students can interact with NASA data to build a custom visualizations of local, regional, or global plant growth patterns over time, using the Earth System Data Explorer to generate plots of satellite data as they develop models of this phenomenon.
Students examine the two time series images to determine the differences between seasonal ice melt over water versus land.
Students watch a visualization video and answer questions on the potential of increasing megadroughts in the southwest and central United States from 1950-2095 using models created by soil moisture data.