The Earth System Satellite Images, along with the Data Literacy Cubes, helps the learner identify patterns in a specific image.
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The Earth System Satellite Images, help the learner visualize how different Earth system variables change over time, establish cause and effect relationships for a specific variable, identify patterns, and determine relationships among variables over one year.
The Earth System Satellite Images, along with the Data Literacy Cubes, help the learner determine relationships among variables.
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.
Atmospheric scientists study the weather and climate and examine how those conditions affect human activity and the earth in general. Most atmospheric scientists work indoors in weather stations, offices, or laboratories. Occasionally, they do fieldwork, which means working outdoors to examine the weather. Some atmospheric scientists may have to work extended hours during weather emergencies.
Students analyze a graph that illustrates the change in global surface temperature relative to 1951-1980 average temperatures.
The Earth System Satellite Images, along with the Data Literacy Cubes, helps the learner identify patterns in a specific image.
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.
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.