In this lesson, students investigate and identify various phytoplankton using images that were previously taken with a compound microscope.  Credit:  This lesson is modified from a lesson of the same name created by The Center for Microbial Oceanography: Research and Education&nbsp

Students use Phytopia: Exploration of the Marine Ecosystem, a computer-based tool, to investigate various phytoplankton species and topics relating to phytoplankton biology. 

Students will engage in a collaborative learning routine as they explore slides that show how the development of public transportation infrastructure changed the land in Woodlawn, Maryland. They will make observations of a satellite image and a photo from the ground as well as read background information on the impact of urbanization. 

Students analyze the relationship between sea surface height and ocean surface currents by graphing sea height using satellite data.  Note: This lesson is modified from NASA's TOPEX/Poseidon lesson plan.

This learning activity uses data acquired by the TOPEX/Poseidon altimeter, a joint project of NASA and the French Space Agency, to investigate the relationship between the topography of a sea-floor feature and the topography of the overlying sea surface.

Students observe seasonal images of Monthly Normalized Difference Vegetation, looking for any changes in vegetation that are occurring throughout the year. They put the images in order based on what they know about seasonal changes.

In this story map lesson students will learn how living with a star can teach us about our universe. Through a series of learning activities, students will examine the benefits and hazards of living with a star, describe and/or demonstrate how we use eclipses to study the Sun and its features, and investigate how our Sun may be used to learn about other stars and our universe. 

Students interpret a double bar/column chart comparing the number of tropical cyclones in different locations.

Students observe monthly images of changing vegetation patterns, looking for seasonal changes occurring throughout 2017. These data can be used by students to develop their own models of change.