A multiscale approach to estimating topographically correlated propagation delays in radar interferograms

@article{Lin2010AMA,
  title={A multiscale approach to estimating topographically correlated propagation delays in radar interferograms},
  author={Yu-nong Nina Lin and Mark Simons and Eric A. Hetland and Pablo Mus{\'e} and Christopher Dicaprio},
  journal={Geochemistry},
  year={2010},
  volume={11}
}
When targeting small amplitude surface deformation, using repeat orbit Interferometric Synthetic Aperture Radar (InSAR) observations can be plagued by propagation delays, some of which correlate with topographic variations. These topographically‐correlated delays result from temporal variations in vertical stratification of the troposphere. An approximate model assuming a linear relationship between topography and interferometric phase has been used to correct observations with success in a few… 
A Robust and Multi-Weighted Approach to Estimating Topographically Correlated Tropospheric Delays in Radar Interferograms
TLDR
A robust and multi-weighted approach to estimate the correlation between phase and topography that is relatively insensitive to confounding processes such as regional subsidence over larger regions as well as under varying tropospheric conditions is presented.
Correcting InSAR Topographically Correlated Tropospheric Delays Using a Power Law Model Based on ERA-Interim Reanalysis
TLDR
A power law model based on ERA-Interim (PLE) is developed and tested and it is shown that the PLE method consistently delivered greater standard deviation (STD) reduction after tropospheric corrections than both the linear method and ERA-I method and agreed well with the MERIS measurements.
Cluster-Based Empirical Tropospheric Corrections Applied to InSAR Time Series Analysis
TLDR
The clustering algorithm is able to identify cases where tropospheric properties vary across topographic divides, reducing total root mean square (rms) by an average of 50%, as opposed to a spatially constant phase-elevation correction, which has insignificant error reduction.
Topography correlated atmospheric delay correction in radar interferometry using wavelet transforms
Atmospheric delay is one of the major sources of error in repeat pass interferometry. We propose a new approach for correcting the topography‐correlated components of this artifact. To this aim we
Mapping ground displacement by a multiple phase difference-based InSAR approach: with stochastic model estimation and turbulent troposphere mitigation
TLDR
The experimental results show that the proposed method to mitigate the effects of atmospheric turbulence by fusing multiple phase differences (MPDs) between the pixel of interest and those pixels whose displacement can be ignored or can be known based on external displacement datasets.
Systematic InSAR tropospheric phase delay corrections from global meteorological reanalysis data
Despite remarkable successes achieved by Differential InSAR, estimations of low tectonic strain rates remain challenging in areas where deformation and topography are correlated, mainly because of
Toward Mitigating Stratified Tropospheric Delays in Multitemporal InSAR: A Quadtree Aided Joint Model
TLDR
This work proposes a method that can simultaneously estimate stratified TDs together with parameters of deformation and topographic error based on their distinct spatial–temporal correlation and demonstrates the performance of this method with both simulated and real data sets.
A Spatially Varying Scaling Method for InSAR Tropospheric Corrections Using a High‐Resolution Weather Model
Variation in tropospheric delay is a major limiting factor on the accuracy of interferometric synthetic aperture radar (InSAR) measurements. This is particularly the case when deformation and
A Case Study on the Correction of Atmospheric Phases for SAR Tomography in Mountainous Regions
TLDR
This paper underscores the indispensability of height-dependent correction of atmospheric phases for SAR tomography by assessing a data-driven approach to estimate these phase variations under a regression-kriging framework.
InSAR Tropospheric Stratification Delays: Correction Using a Small Baseline Approach
  • T. R. Lauknes
  • Environmental Science
    IEEE Geoscience and Remote Sensing Letters
  • 2011
TLDR
A method for estimating and correcting the effects of tropospheric stratification observed in an SB stack of interferograms is presented and the value of this approach is demonstrated using InSAR data from the Envisat spacecraft and with results from a Global Positioning System network.
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