Dr. Tom Loveland is a research geographer at EROS and director of the USGS Land Cover Institute. He has been engaged in research on the use of remote sensing for land use and land cover investigations for over 25 years and has conducted studies that have spanned local to global scales. He was among the first to create continental and global-scale land cover data sets derived from remotely sensed imagery.

Students develop and test a hypothesis about how albedo affects temperature.

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. 

Check out how Dr. James Smith, Research Scientist at Biospheric Sciences Branch at NASA Goddard Space Flight Center researches changes in the Biosphere using remote sensing techniques.

Dr. Stackhouse uses satellite observations of the Earth-atmosphere system from multiple sources to study Earth’s global energy cycle, especially the processes that cause variability from global to regional scales. Dr. Stackhouse also develops new data products and data systems to help analyze these processes and more efficiently understand and use renewable energy sources.

In this activity, students use satellite images from the NASA Landsat team to quantify changes in glacier cover over time from 1986 to 2018. 

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. 

Explore and connect to hydrosphere protocols in GLOBE. Each protocol has related Earth System Data Explorer datasets identified as well.

Students will analyze and interpret maps of the average net atmospheric radiation to compare the flow of energy from the Sun toward Earth in different months and for cloudy versus clear days. Students will draw conclusions and support them with evidence.

Students explore the spatial patterns observed in meteorological data and learn how this information is used to predict weather and understand climate behavior.