IGORSE: Integrating Geodetic Observations for Reconciled Scale Estimates
Abstract
The scientific objectives of the proposed research are to understand the sources and consequences of the scale factor mismatch between global terrestrial reference frame realizations from the independent geodetic techniques. We propose to develop the needed theory and algorithms to understand and characterize the unique elements for the sea-level science and positioning, navigation and timing applications. At the conclusion of this work, we anticipate being able to articulate a scale factor error reduction roadmap that is a mix of improvements to data processing strategies, potential improvements to hardware capabilities, and signal processing methodologies. The proposed work entails a number of elements that span improvements to basic theoretical understanding, alternate technical approaches, numerical investigations, and field investigations. Dedicated synthesis activity is proposed to integrate the results obtained by co-investigators. Anticipated results include improved understanding of the errors in our knowledge of the Earth’s gravitational parameters; use of laser metrology for mm-accuracy inter-system ties at the km-scales; improved uncertainty quantification in estimates of scales from current geodetic modeling practices; and improved theoretical understanding of the role of scale and other reference frame parameters in science and navigation applications. Our proposed research is essential and directly applicable to the NGA mission, connected to assured access to reliable PNT capabilities, to Enrich GEOINT towards Earth Observation, Geophysics, and Geomatics. This work improves the exploitation of high precision GEOINT products and geospatial information. The contributions through geodesy extend to both the NGA national security objectives and to Federal disaster relief objectives. Reference frames are the foundational basis for representing geospatial information and reckoning change, and the proposed work advances NGA GEOINT mission in this arena.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 28, 2021
- Source ID
- HM04762010013
Entities
People
- Srinivas Bettadpur
Organizations
- National Geospatial-Intelligence Agency
- University of Texas at Austin