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Sampling Error of Continuous Periodic Data and its Application for Geodesy
  • Lorant Foldvary
Lorant Foldvary
Department of Geodesy and Surveying, Budapest University of Technology and Economics
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Abstract

Data acquisition for geoinformatics cannot be done continuously, but by discrete sampling of the object or phenomenon. The sampling involves errors on the knowledge of the continuous signal due to the loss of information in the sampling procedure. In the present study, an analytical formulation of the sampling error is provided, which embodies the amplitude, phase, bias and periodicity of the sampling error. The analysis is then subsequently applied for case studies: for the GRACE and GRACE-FO monthly solutions, and for different realizations of the Hungarian Gravimetric Network.

Peer review status:Published

02 Aug 2020Submitted to Mathematical Methods in the Applied Sciences
03 Aug 2020Submission Checks Completed
03 Aug 2020Assigned to Editor
08 Aug 2020Reviewer(s) Assigned
25 Nov 2020Review(s) Completed, Editorial Evaluation Pending
19 Jan 2021Editorial Decision: Revise Major
13 Feb 20211st Revision Received
13 Feb 2021Submission Checks Completed
13 Feb 2021Assigned to Editor
14 Feb 2021Reviewer(s) Assigned
15 Feb 2021Review(s) Completed, Editorial Evaluation Pending
24 May 2021Editorial Decision: Accept
18 Jun 2021Published in Mathematical Methods in the Applied Sciences. 10.1002/mma.7599