Version 1
: Received: 14 June 2022 / Approved: 17 June 2022 / Online: 17 June 2022 (08:57:52 CEST)
Version 2
: Received: 18 January 2023 / Approved: 19 January 2023 / Online: 19 January 2023 (11:50:03 CET)
How to cite:
Olsen, K.; Calef, M.; Agram, P. Contextual Uncertainty Assessments for InSAR-Based Deformation Retrieval Using an Ensemble Approach. Preprints2022, 2022060251. https://doi.org/10.20944/preprints202206.0251.v2
Olsen, K.; Calef, M.; Agram, P. Contextual Uncertainty Assessments for InSAR-Based Deformation Retrieval Using an Ensemble Approach. Preprints 2022, 2022060251. https://doi.org/10.20944/preprints202206.0251.v2
Olsen, K.; Calef, M.; Agram, P. Contextual Uncertainty Assessments for InSAR-Based Deformation Retrieval Using an Ensemble Approach. Preprints2022, 2022060251. https://doi.org/10.20944/preprints202206.0251.v2
APA Style
Olsen, K., Calef, M., & Agram, P. (2023). Contextual Uncertainty Assessments for InSAR-Based Deformation Retrieval Using an Ensemble Approach. Preprints. https://doi.org/10.20944/preprints202206.0251.v2
Chicago/Turabian Style
Olsen, K., Matthew Calef and Piyush Agram. 2023 "Contextual Uncertainty Assessments for InSAR-Based Deformation Retrieval Using an Ensemble Approach" Preprints. https://doi.org/10.20944/preprints202206.0251.v2
Abstract
InSAR and associated analytic methods enable relative surface deformation measurements from low Earth orbit with a potential accuracy of centimeters to millimeters. However, assessing the actual accuracy can be quite difficult. The analytic methods are complicated enough that naive analytic error propagation is infeasible, and, in many settings, InSAR practitioners lack sufficient ground truth to assess results. Phase noise due to partial decorrelation from changes in the scattering properties of the ground is a prominent source of accuracy loss. In this paper we present a method to assess the loss of precision due to this component of phase noise. The proposed method consists of generating synthetic data stacks whose statistical properties match those of the actual input SAR data stacks, and then using the synthetic data for an ensemble calculation. The spread of the results of the ensemble calculation indicates the loss of precision. We show examples of the ensemble analysis at a mining operation in South Africa, and demonstrate the ability to estimate the precision of two InSAR deformation retrieval methods on a point-by-point and epoch-by-epoch basis.
Keywords
InSAR; deformation; synthetic data; ensemble methods; uncertainty estimate; time series analysis
Subject
Environmental and Earth Sciences, Geophysics and Geology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Kelly Olsen
Commenter's Conflict of Interests: Author