In this activity, students use satellite images from the NASA Landsat team to quantify changes in glacier cover over time from 1986 to 2018.
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This series of videos highlights how NASA Climate Scientists use mathematics to solve everyday problems. These educational videos to illustrate how math is used in satellite data analysis.
The advance-and-retreat cycle of snow cover drastically changes the whiteness and brightness of Earth. Using two maps created using NASA satellite data for 2017, students review the seasonal differences of snow and ice extent and answer questions on their observations.
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Teachers, are you looking for resources to help you engage students in data analysis related to changes in the cryosphere using albedo values? Check out these images.
Geospatial Information Scientists and Technologists research geospatial data or develop geospatial technologies. Geospatial data is data that has a geographic component associated with it, such as coordinates or an address, and geospatial technologies are the technologies used to collect and analyze geospatial data.
Soil scientists study the physical and chemical properties of soil. A soil scientist reviews the distribution, origin, and history of soil and plants, as well as identifying, interpreting, mapping and/or managing soils. This field is commonly applied for agricultural purposes. Fieldwork is frequently required.
Soil Conservation Technicians collect and manage survey data for conservation, develop a plan to implement conservation actions, and supervise fieldwork. Their work starts with developing physical resource plans and documents on the history of the land. Technicians survey, layout, and section off the site. They assist the landowner in selecting, installing, and maintaining a variety of measures that conserve and improve the soil, plant, water, marsh, wildlife and recreational resources of the land.
Remote sensing scientists use sensors to analyze data and solve regional, national and global concerns. For instance, natural resource management, urban planning, and climate and weather prediction are applications of remote sensing. Many scientists develop new sensor systems, analytical techniques, or new applications for existing systems.
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