17.8
Application of GIS for Data Quality Monitoring in the NPOESS Ground Data Processing System
Scott Shipley, Raytheon, Upper Marlboro, MD; and J. Stauch, B. Reed, D. Gillespie, M. Walth, S. Young, C. Wang, J. Mulligan, J. Overton, J. Zajic, and A. Goldberg
Geographic Information System (GIS) technology is applied to perform Data Quality (DQ) Monitoring functions in support of the NPOESS/NPP Ground Processing System. A GIS-based design provides broad capabilities "out of the box" for remote sensor and ancillary data ingest and management, with flexible data display, processing and interactive editing in a spatial/relational environment, and can be quickly adapted to changes in remote sensor operations. GIS-based utilities for the analysis of remote sensing information have been prototyped using NASA Earth Observing System (EOS) and supplemental information from ground-based and airborne in-situ platforms. The Data Quality Monitoring capability provides a quick look at data and analysis products within the operational weather product generation environment, and can support System Test & Evaluation (ST&E) by filtering and preprocessing the NPOESS/NPP products for off-line Calibration and Validation (Cal/Val) analysis. GIS processing speed is optimized in an operational environment through declaration of a sensor space projection that minimizes coordinate transformations for data layer collocation.
Session 17, GIS Applications (ROOM 613/614)
Thursday, 15 January 2004, 1:30 PM-5:30 PM, Room 613/614
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