After learning about the different characteristics of satellite data, students will describe the advantages and disadvantages of using two different satellites to study the Urban Heat Island Effect.
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Students will identify and describe the relationship between land cover classification and surface temperature as they relate to the urban heat island effect. Students will also describe patterns between population density and the locations of urban heat islands.
This activity invites students to simulate and observe the different effects on sea level from melting sea-ice.
Students will describe how the spread of COVID-19 is affected by population density and explain why patterns in the spread of COVID-19 are happening over time.
Students will examine air temperature data collected through The GLOBE Program during the 2017 US solar eclipse.
In this activity, students will analyze past and future eclipse data and orbital models to determine why we don’t experience eclipses every month.
Students will investigate the role of clouds and their contribution (if any) to global warming. Working in cooperative groups, students will make a claim about the future role clouds will play in Earth’s Energy Budget if temperatures continue to increase.
Teachers, are you looking for resources to help you engage students in data analysis related to Global Phytoplankton Distribution?
Check out the monthly 2018 images featuring two science variables related to Phytoplankton Distribution: Chlorophyll Concentration (milligrams per cubic meter) & Monthly Flow of Energy into Surface by Shortwave Radiation (watts per square meter)
Teachers, are you looking for resources to help you engage students in data analysis related to the Urban Heat Island in North America?
Check out the images featuring two science variables related to Urban Heat Islands: Monthly Surface Air Temperature (degrees Celsius) & Monthly Daytime Skin Temperature (degrees Celsius).