Visualization Tools and Techniques for Search and Validation of Large Earth Science Spatial-Temporal Metadata Databases
Abstract:Spatial-temporal metadata databases are critical components of interactive data discovery services for ordering Earth Science datasets. The development staff at the Atmospheric Science Data Center (ASDC) works closely with satellite Earth Science mission teams such as CERES, CALIPSO, TES, MOPITT, and CATS to create and maintain metadata databases that are tailored to the data discovery needs of the Earth Science community.
This presentation focuses on the visualization tools and techniques used by the ASDC software development team for data discovery and validation/optimization of spatial-temporal objects in large multi-mission spatial-temporal metadata databases. The following topics will be addressed:
- Optimizing the level of detail of spatial temporal metadata to provide interactive spatial query performance over a multi-year Earth Science mission
- Generating appropriately scaled sensor footprint gridded (raster) metadata from Level1 and Level2 Satellite and Aircraft time-series data granules
- Performance comparison of raster vs vector spatial granule footprint mask queries in large metadata database and a description of the visualization tools used to assist with this analysis