This mini lesson engages students by watching a NASA video related to plant growth activity around the world using data from the NASA/NOAA Suomi NPP satellite and answering questions on these stability and change relationships.

NASA Worldview is a free online visualization tool that is a great launchpad for learners who are new (or veteran) users of satellite data.

Steve Nerem is the leader of NASA’s Sea Level Change team. His project, Observation-Driven Projections of Future Regional Sea Level Change, focuses on using NASA satellite and in situ observations and climate modeling to estimate future regional sea level change.

Learn how Dr. Anyamba, Research Scientist at NASA Goddard Space Flight Center, Biospheric Sciences Laboratory explore how Earth's Biosphere and Geosphere respond to climate variability.

Dr. Wickland works at NASA Headquarters in Washington, DC, where she oversees the planning and implementation of NASA's Terrestrial Ecology research program and leads its Carbon Cycle and Ecosystems Focus Area. She coordinates research programs in land cover and land use change, ocean biogeochemistry, terrestrial ecology, and biodiversity. 

Check out this interview to learn more about Dr. Claire Parkinson's journey to become Senior Scientist researching Climate Change at NASA Goddard Space Flight Center.

Students analyze historic plant growth data (i.e., Peak Bloom dates) of Washington, D.C.’s famous cherry blossom trees, as well as atmospheric near surface temperatures as evidence for explaining the phenomena of earlier Peak Blooms in our nation’s capital.

Students can interact with NASA data to build a custom visualizations of local, regional, or global plant growth patterns over time, using the Earth System Data Explorer to generate plots of satellite data as they develop models of this phenomenon.

Students learn how to estimate the "energy efficiency" of photosynthesis, or the amount of energy that plants absorb for any given location on Earth. This is the ratio of the amount of energy stored to the amount of light energy absorbed and is used to evaluate and model photosynthesis efficiency.

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.