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.
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Students identify patterns in chlorophyll concentration data to formulate their explanations of phytoplankton distribution.
Students will identify and describe the relationship between watersheds and phytoplankton distribution.
Students identify patterns and describe the relationship between chlorophyll concentration and incoming shortwave radiation.
Students will analyze how surface (skin) temperatures vary across a community and determine what factors contribute to this variation. Students will describe how human activity can affect the local environment.
In this lesson, students will explore the effect of aerosols on sky color and visibility by using an interactive virtual model.
Through guided inquiry, students will identify interactions of the four major scientific spheres on Earth: biosphere, atmosphere, hydrosphere and geosphere. They will then identify how these systems are represented and interact in their classroom aquarium.
The Quick Start Guide lists examples of NASA datasets and imagery that could be used for student investigations related to content and practices in the Framework for K-12 Science Education. This Guide is part of an educator toolkit that features resources for grades K-12 that can support and frame student investigations with NASA data and content. Check out the toolkit and samplers for elementary, middle, and high school at https://www.strategies.org/education/educators-toolkit/.
My NASA Data has recently released several new resources, StoryMaps, for use in educational settings.
In this lesson, Observing Earth’s Seasonal Changes, students observe patterns of average snow and ice amounts as they change from one month to another, as well as connect the concepts of the tilt and orbit of the Earth (causing the changing of seasons) with monthly snow/ice data from January 2008