IN53D:
Spatial Data Infrastructure and GIS for Earth and Space Sciences: Analyzing, Visualizing, and Sharing Spatiotemporal, Cloud-Optimized Earth Science Data Posters


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Session ID#: 57654

Session Description:
Scientists and system engineers use geospatial data to manage organizational infrastructure, quantify the need and risk associated, and plan future development. The diversity and complexity of scientific data pose challenges in how it is stored, accessed, managed and shared, visualized, and fused for answering scientific questions. Spatial data infrastructure (SDI)  is built on frameworks that support Earth Observations such as satellite imagery, climate-weather observations, and forecasts that are service oriented and distributed. Such frameworks allow us to store and manage data, generate science products, develop users' need based applications. In addition, GIS provides critical bridge between large and diverse data sets and broad communities from scientists to decision makers.   This session explores critical components of cloud-optimized SDIs, including systems and workflows for spatio-temporal data ingest, archive, storage, and distribution, as well as the use of GIS, machine/deep learning, and HPC as applied in big Earth data exploitation.
Primary Convener:  Sudhir R Shrestha, ESRI, Redlands, CA, United States
Conveners:  Dawn J Wright, Environmental Systems Research Institute, Redlands, CA, United States, Kenneth S Casey, NOAA National Centers for Environmental Information, NCEI, Silver Spring, MD, United States and Daniel Duffy, NASA Center for Climate Simulation, Greenbelt, United States
Primary Liaison:  Sudhir R Shrestha, ESRI, Redlands, CA, United States
Chairs:  Sudhir R Shrestha, ESRI, Redlands, CA, United States and Dawn J Wright, Environmental Systems Research Institute, Redlands, CA, United States
OSPA Liaison:  Sudhir R Shrestha, ESRI, Redlands, CA, United States
Index Terms:

1910 Data assimilation, integration and fusion [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]
1926 Geospatial [INFORMATICS]
3360 Remote sensing [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Virtual Multidimensional Data Cube - A Generic Data Model for Working with Scientific Data in GIS (421868)
Hong Xu, Esri (Environment System Research Institute), Software Product, Redlands, CA, United States and Sudhir R Shrestha, ESRI, Redlands, CA, United States
Serving NASA GES DISC Multi-spatiotemporal Earth Science Data to the GIS community (395544)
Jennifer C Wei1, Wenli Yang1, Peisheng Zhao2, Michael C Beron3, Long Pham4 and Dave L. Meyer1, (1)NASA Goddard Space Flight Center, GES DISC, Greenbelt, MD, United States, (2)NASA GES DISC/GMU, Greenbelt, MD, United States, (3)NASA Goddard Space Flight Center, GES DISC; ADNET Systems, Greenbelt, MD, United States, (4)NASA Goddard Space Flight Center, GES DISC, Greenbelt, United States
Stepping into GIS: Virtual Flooding with Virtual Reality Technology (405426)
Shayna Solis, Navteca, NASA, Greenbelt, MD, United States and Adam Silcott, NASA, Navteca, Greenbelt, MD, United States
Utilizing the NASA Atmospheric Science Data Center (ASDC) Geospatial Platform for Data Analysis. (439338)
Matthew Tisdale and Brian Tisdale, NASA Langley Research Center, Hampton, VA, United States
Scalable Infrastructures for Weather Forecaster Access to Joint Polar Satellite System (JPSS) Data (454201)
John D Evans, Global Science and Technology Inc Greenbelt, Greenbelt, MD, United States
A comparison of application for landslide susceptibility mapping using classification and regression tree, random forest and rotation models (372008)
Lingran Zhao, China University of Geosciences Wuhan, Wuhan, China
The Earth Data Analytic Services (EDAS) Framework (394911)
Thomas Patrick Maxwell1, Daniel Duffy2, Laura Carriere3 and Gerald L Potter1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)NASA Center for Climate Simulation, Greenbelt, United States, (3)NCCS, NASA Goddard, Greenbelt, MD, United States

See more of: Earth and Space Science Informatics