Scientific data is powerful. It drives research on climate change, energy assurance, space exploration, earth science, water monitoring/security, and more. It can unlock the mysteries of the world.
Regardless of your focus or affiliation — climate, agriculture, hydrology, conservation, geophysics, or oceans — analyzing, visualizing and sharing scientific data is imperative.
On this on-demand training you’ll hear our panel of government experts explore the value of integrating multi-dimensional scientific data with geographic information systems (GIS) to:
- Effectively communicate scientific knowledge
- Accelerate analysis
- Address real-world problems
- Increase the use of scientific data by non-traditional users and citizens
Location Matters in Scientific Discovery – Dawn Wright, Chief Scientist, Esri – Learn more about Esri’s role as part of the science community, including its contributions to and collaborations with government scientists. Hear about Esri’s involvement and investments in furthering science, Earth observation and scientific analysis.
ORNL DAAC tools for Access to Scientific Data – Doing More with Data – Suresh Vannan, ORNL DAAC Manager – Suresh will present the origins and use of ORNL’s DAAC related tools, as well as other examples of geospatial scientific applications and capabilities being used across Oak Ridge National Laboratory.
Improving Accessibility and Use of NASA Earth Science Data- Brian Tisdale, Booz Allan Hamilton – Many of the NASA Langley ASDC and DAAC multidimensional tropospheric and atmospheric chemistry data products (such as MOPITT, MISR, CERES, CALIPSO, and TES) are stored in HDF4, HDF5 or NetCDF format, traditionally difficult formats to analyze and visualize with geospatial tools.
Brian will share how his team leverages geospatial applications such as ArcGIS, OPeNDAP, and ncWMS in the production of Earth science information with increasing data accessibility and usability.
Integration of Tools for Scientific Analysis with GIS– Brett Rose, Lead Solution Engineer, Esri – Learn how Esri GIS technology helps scientists do more with multi-dimensional data through integration with SciPy, NetCDF and open standards. We will show you what tools are directly integrated with GIS that can be used to advance science, perform analysis and aid earth observation.
Want to learn more? Check out these resources: