Mitigating atmospheric noise for InSAR using a high resolution weather model

Foster, James H.; Brooks, Benjamin A.; Cherubini, T.; Shacat, C.; Businger, Steven; Werner, Charles

doi:10.1029/2006gl026781

Cited by 134 publications

(116 citation statements)

References 23 publications

(26 reference statements)

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“…The Fifth-Generation Penn State/NCAR Mesoscale Mode (MM5) (see [40,50]) used in precedent researches [41] successfully demonstrated the capability of the Weather Research and Forecasting (WRF) model for the error migration of InSAR. Hence the version 3.2.1 Advanced Research WRF (WRF-ARW) [51] was applied for the construction of weather model.…”

Section: Wrf Model Processingmentioning

confidence: 99%

“…In this study, we use high resolution water vapor maps derived from weather forecasting models to correct for two pass DInSAR in the error correction procedure, based on previous research conducted by Wedge et al [39], Foster et al [40] and Nico et al [41]. [33] and SBAS [35] are two methods widely used for performing time series analysis.…”

Section: Two Pass Dinsar With Atmospheric Error Compensationmentioning

confidence: 99%

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Investigation of Potential Volcanic Risk from Mt. Baekdu by DInSAR Time Series Analysis and Atmospheric Correction

et al. 2017

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Abstract:Mt. Baekdu is a volcano near the North Korea-Chinese border that experienced a few destructive eruptions over the course of its history, including the well-known 1702 A.D eruption. However, signals of unrest, including seismic activity, gas emission and intense geothermal activity, have been occurring with increasing frequency over the last few years. Due to its close vicinity to a densely populated area and the high magnitude of historical volcanic eruptions, its potential for destructive volcanic activity has drawn wide public attention. However, direct field surveying in the area is limited due to logistic challenges. In order to compensate for the limited coverage of ground observations, comprehensive measurements using remote sensing techniques are required. Among these techniques, Differential Interferometric SAR (DInSAR) analysis is the most effective method for monitoring surface deformation and is employed in this study. Through advanced atmospheric error correction and time series analysis, the accuracy of the detected displacements was improved. As a result, clear uplift up to 20 mm/year was identified around Mt. Baekdu and was further used to estimate the possible deformation source, which is considered as a consequence of magma and fault interaction. Since the method for tracing deformation was proved feasible, continuous DInSAR monitoring employing upcoming SAR missions and advanced error regulation algorithms will be of great value in monitoring comprehensive surface deformation over Mt. Baekdu and in general world-wide active volcanoes.

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Section: Wrf Model Processingmentioning

confidence: 99%

Section: Two Pass Dinsar With Atmospheric Error Compensationmentioning

confidence: 99%

Investigation of Potential Volcanic Risk from Mt. Baekdu by DInSAR Time Series Analysis and Atmospheric Correction

et al. 2017

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“…Predictive methods are based on inputs from external data sets to compute synthetic delay maps and directly correct for tropospheric delays in interferograms. The external data sets include local meteorological data [43], GPS zenith delay measurements [44][45][46][47], satellite multi-spectral imagery [48,49], and outputs from local meteorological models constrained by local data collection [50][51][52]. These external data have proven successful and accurate for atmospheric correction; however, rarely available local data limit the popularity of this method.…”

Section: Atmospheric Correctionmentioning

confidence: 99%

Interseismic Deformation of the Altyn Tagh Fault Determined by Interferometric Synthetic Aperture Radar (InSAR) Measurements

Zhu

Wen

et al. 2016

Remote Sensing

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Abstract:The Altyn Tagh Fault (ATF) is one of the major left-lateral strike-slip faults in the northeastern area of the Tibetan Plateau. In this study, the interseismic deformation across the ATF at 85˝E was measured using 216 interferograms from 33 ENVISAT advanced synthetic aperture radar images on a descending track acquired from 2003 to 2010, and 66 interferograms from 15 advanced synthetic aperture radar images on an ascending track acquired from 2005 to 2010. To retrieve the pattern of interseismic strain accumulation, a global atmospheric model (ERA-Interim) provided by the European Center for Medium Range Weather Forecast and a global network orbital correction approach were applied to remove atmospheric effects and the long-wavelength orbital errors in the interferograms. Then, the interferometric synthetic aperture radar (InSAR) time series with atmospheric estimation model was used to obtain a deformation rate map for the ATF. Based on the InSAR velocity map, the regional strain rates field was calculated for the first time using the multi-scale wavelet method. The strain accumulation is strongly focused on the ATF with the maximum strain rate of 12.4ˆ10´8/year. We also show that high-resolution 2-D strain rates field can be calculated from InSAR alone, even without GPS data. Using a simple half-space elastic screw dislocation model, the slip-rate and locking depth were estimated with both ascending and descending surface velocity measurements. The joint inversion results are consistent with a left-lateral slip rate of 8.0˘0.7 mm/year on the ATF and a locking depth of 14.5˘3 km, which is in agreement with previous results from GPS surveys and ERS InSAR results. Our results support the dynamic models of Asian deformation requiring low fault slip rate.

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“…the analysis of progressive tectonic motions, or to the improvement of a Digital Terrain Model), unwanted contributions on the received signal induced by the atmosphere are big sources of noise for InSAR techniques, especially at C and X frequency bands. Among them, the delay caused by changes in the distribution of water vapour in the atmosphere (Foster, 2006). By analyzing single interferograms, the water vapour delay contribution is practically indistinguishable from ground motion signal: its amplitudes can range from some millimetre up to several centimetres or even greater.…”

Section: Introductionmentioning

confidence: 99%

Water vapour distribution at urban scale using high-resolution numerical weather model and spaceborne SAR interferometric data

Pichelli

Ferretti

Cimini

et al. 2010

Nat. Hazards Earth Syst. Sci.

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Abstract. The local distribution of water vapour in the urban area of Rome has been studied using both a high resolution mesoscale model (MM5) and Earth Remote Sensing-1 (ERS-1) satellite radar data. Interferometric Synthetic Aperture Radar (InSAR) techniques, after the removal of all other geometric effects, estimate excess path length variation between two different SAR acquisitions (Atmospheric Phase Screen: APS). APS are strictly related to the variations of the water vapour content along the radar line of sight. To the aim of assessing the MM5 ability to reproduce the gross features of the Integrated Water Vapour (IWV) spatial distribution, as a first step ECMWF IWV has been used as benchmark against which the high resolution MM5 model and InSAR APS maps have been compared. As a following step, the high resolution IWV MM5 maps have been compared with both InSAR and surface meteorological data. The results show that the high resolution IWV model maps compare well with the InSAR ones. Support to this finding is obtained by semivariogram analysis that clearly shows good agreement beside from a model bias.

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Mitigating atmospheric noise for InSAR using a high resolution weather model

Cited by 134 publications

References 23 publications

Investigation of Potential Volcanic Risk from Mt. Baekdu by DInSAR Time Series Analysis and Atmospheric Correction

Investigation of Potential Volcanic Risk from Mt. Baekdu by DInSAR Time Series Analysis and Atmospheric Correction

Interseismic Deformation of the Altyn Tagh Fault Determined by Interferometric Synthetic Aperture Radar (InSAR) Measurements

Water vapour distribution at urban scale using high-resolution numerical weather model and spaceborne SAR interferometric data

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