This mini lesson engages students in writing a commentary for a NASA video regarding changes in global temperatures from 1880 to 2017.
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One of the key "vital signs" of Earth's vegetation is the total green leaf area for a given ground area. The Moderate Resolution Imaging Spectroradiometer (MODIS) aboard NASA's Terra and Aqua satellites collects global Leaf Area Index (LAI) data on a daily basis.
The advance-and-retreat cycle of snow cover drastically changes the whiteness and brightness of Earth. Using these two 2017 maps created using NASA satellite data, have students review the seasonal differences of snow and ice extent.
CERES Monthly Snow/Ice Percent Coverage - Examine the two time series images to determine the differences between seasonal ice melt over water versus land.
This is the first of a four-part series on the water cycle, which follows the journey of water from the ocean to the atmosphere, to the land, and back again to the ocean. Students review the video and answer questions.
Students review a video showing a global view of the top-of-atmosphere shortwave radiation from January 26 and 27, 2012 and answer the questions that follow.
Students can interact with NASA data to build a custom visualizations of of local, regional, or global plant growth patterns over time. Use the Earth System Data Explorer to generate plots of satellite data as you develop models of this phenomenon.
See the following datasets in the Earth System Data Explorer:
Visualize NASA data on a custom map using our Earth System Data Explorer. Generate your own maps and graphs using a range of datasets supporting this phenomenon.
Visualize NASA's daily and monthly soil moisture data on a custom map or graph using our Earth System Data Explorer. Generate your own maps and graphs using a range of datasets supporting this phenomenon.
Explore the spatial patterns observed in meteorological data and learn how this information is used to predict weather and understand climate behavior. By observing patterns in data we can classify our observations and investigate underlying cause and effect relationships.