instruments. check data. Information: Transported Disks Produce processed data Matlab Analysis code ≈2500 cores running N/A except results copied to (LUSTRE) as radar images running in parallel and standard cluster tools checked before Offline Analysis L1B File System independently on each release on CReSIS data sample web site Information: Radar Images from Input to Science as GIS and Metadata Tools GIS (Geographical As above L1B database with GIS Information System). L2/L3 Geolocation Environment to support frontend and Layer Finding automatic and/or manual Cluster for Image layer determination Processing. Knowledge, GIS interface to L2/L3 Polar Science Research Exploration on a cloud Varies according to Wisdom, Discovery: data integrating multiple data style GIS supporting science use. sources e.g. for Climate access to data. Typically results Science change. open after research Simulation is 3D partial complete. Glacier bed data used in differential equation simulations of glacier flow solver on large cluster. See Figure 11: Radar Data Analysis for CReSIS Remote Sensing of Ice Sheets– Typical CReSIS radar data after analysis. See See Figure 13: Radar Data Analysis for CReSIS Remote Sensing of Ice Sheets Typical echogram with – detected boundaries. The upper (green) boundary is between air and ice layers, while the lower (red) boundary is between ice and terrain. Earth, Environmental and Polar Science> Use Case 44: UAVSAR Data Processing Use Case Title UAVSAR Data Processing, Data Product Delivery, and Data Services Vertical (area) Scientific Research: Earth Science Author/Company/Email Andrea Donnellan, NASA JPL, ; Jay Parker, NASA JPL, Actors/Stakeholders NASA UAVSAR team, NASA QuakeSim team, ASF (NASA SAR DAAC), USGS, CA and their roles and Geological Survey responsibilities Goals Use of Synthetic Aperture Radar (SAR) to identify landscape changes caused by seismic activity, landslides, deforestation, vegetation changes, flooding, etc.; increase its usability and accessibility by scientists. Use Case Description A scientist who wants to study the after effects of an earthquake examines multiple standard SAR products made available by NASA. The scientist may find it useful to interact with services provided by intermediate projects that add value to the official data product archive. Current Compute(System) Raw data processing at NASA AMES Pleiades, Endeavour. Solutions Commercial clouds for storage and service front ends have been explored. Storage File based.
instruments. check data. Information: Offline Analysis L1B Transported Disks copied to (LUSTRE) File System Produce processed data as radar images Matlab Analysis code running in parallel and independently on each data sample ≈2500 cores running standard cluster tools N/A except results checked before release on CReSIS web site Information: L2/L3 Geolocation and Layer Finding Radar Images from L1B Input to Science as database with GIS frontend GIS and Metadata Tools Environment to support automatic and/or manual layer determination GIS (Geographical Information System). Cluster for Image Processing. As above Knowledge, Wisdom, Discovery: Science GIS interface to L2/L3 data Polar Science Research integrating multiple data sources e.g. for Climate change. Glacier bed data used in simulations of glacier flow Exploration on a cloud style GIS supporting access to data. Simulation is 3D partial differential equation solver on large cluster. Varies according to science use. Typically results open after research complete. See Figure 11: Radar Data Analysis for CReSIS Remote Sensing of Ice Sheets– Typical CReSIS radar data after analysis. See See Figure 13: Radar Data Analysis for CReSIS Remote Sensing of Ice Sheets – Typical echogram with detected boundaries. The upper (green) boundary is between air and ice layers, while the lower (red) boundary is between ice and terrain. Earth, Environmental and Polar Science> Use Case 44: UAVSAR Data Processing Use Case Title UAVSAR Data Processing, Data Product Delivery, and Data Services Vertical (area) Scientific Research: Earth Science Author/Company/Email Andrea Donnellan, NASA JPL, ; Jay Parker, NASA JPL, Actors/Stakeholders and their roles and responsibilities NASA UAVSAR team, NASA QuakeSim team, ASF (NASA SAR DAAC), USGS, CA Geological Survey Goals Use of Synthetic Aperture Radar (SAR) to identify landscape changes caused by seismic activity, landslides, deforestation, vegetation changes, flooding, etc.; increase its usability and accessibility by scientists. Use Case Description A scientist who wants to study the after effects of an earthquake examines multiple standard SAR products made available by NASA. The scientist may find it useful to interact with services provided by intermediate projects that add value to the official data product archive. Current Solutions Compute(System) Raw data processing at NASA AMES Pleiades, Endeavour. Commercial clouds for storage and service front ends have been explored. Storage File based.