Probabilistic Error Analysis of Airborne Gravimetry,
Abstract
An error analysis based on second order stochastic process theory is performed for airborne gravimetry. Only gravimetry in the traditional sense is considered as opposed to gravity-gradient methods. Stochastic error models are developed and computer programs for the final formulas have been written. Sample computations indicate that gravity averages over about 100 km may be seriously deviation from the optimal filter due to lack of knowledge about the medium freuquent portion of the power spectra of gravity variation and noise. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1970
- Accession Number
- AD0715268
Entities
People
- Peter Meissl
Organizations
- Ohio State University