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A Data Support Specialist works with the user community to understand their science needs with the goal of providing support for NASA data and information services.  They represent the user in product development and development resources to assist with the user community's needs.  This person works directly with users to solve problems using NASA data, or to provide resources to improve understanding of the 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.



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.



Mechanical engineers design, develop, build, and test mechanical and thermal sensors and devices including tools, engines, and machines. These are essential systems in platforms in NASA's Earth Science missions, like satellite and airborne missions.  Mechanical engineers work mostly in engineering services, research and development, and manufacturing. 


At the core of scientific visualization is the representation of data graphically - through images, animations, and videos - to improve understanding and develop insight. Data visualizers develop data-driven images, maps, and visualizations from information collected by Earth-observing satellites, airborne missions, and ground measurements. Visualizations allow us to explore data, phenomena and behavior; they are particularly effective for showing large scales of time and space, and "invisible" processes (e.g. flows of energy and matter) as integral parts of the models.