Land subsidence caused by the East Mesa Geothermal Field, California, observed using SAR interferometry

Massonnet, D.; Holzer, Thomas L.; Vadon, H.

doi:10.1029/97gl00817

Cited by 131 publications

(63 citation statements)

References 19 publications

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“…Indeed, previous geodetic analyses of geothermal regions have already been performed and have shown that vertical and horizontal displacements have been caused by geothermal exploitation (e.g. Massonnet et al 1997;Carnec and Fabriol 1999;Fialko and Simons 2000;Nishijima et al 2005;Glowacka et al 2010;Jeanne et al 2014). Note that surface displacement can also be observed during the drilling phase (Lubitz et al 2013).…”

Section: Introductionmentioning

confidence: 78%

“…InSAR techniques have been applied to study surface deformation related to the earthquake cycle (Massonnet et al 1993;Zebker et al 1994;Fialko et al 2005;Burgmann et al 2006;Peltzer et al 2001), magmatic activity (Amelung et al 2000;Pritchard and Simons 2002;Hooper et al 2004;Wright et al 2006;Wicks et al 2006;Doubre and Peltzer 2007;Biggs et al 2009) and subsurface reservoirs (Jonsson et al 1998;Massonnet et al 1997;Amelung et al 1999;Fialko and Simons 2000;Bawden et al 2001;Newman et al 2006;Gourmelen et al 2007;Vasco et al 2008).…”

Section: Insar and Ps-insarmentioning

confidence: 99%

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Uplift around the geothermal power plant of Landau (Germany) as observed by InSAR monitoring

et al. 2015

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Section: Introductionmentioning

confidence: 78%

Section: Insar and Ps-insarmentioning

confidence: 99%

Uplift around the geothermal power plant of Landau (Germany) as observed by InSAR monitoring

et al. 2015

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“…Because of its high sensitivity to vertical displacement, the InSAR monitoring of the human-induced subsidence phenomenon became one of the main applications (e.g., Massonnet et al, 1997;Fielding et al, 1998;Galloway et al, 1998;Lazecky et al, 2010), especially in urban areas where the number of coherent pixels over time remains high (e.g., Hoffmann et al, 2001;Watson et al, 2002;Stramondo et al, 2008;López-Quiroz et al, 2009;Crosetto et al, 2010;Crosetto et al, 2013). The decorrelation noise results either from a variation of the satellite LOS direction for the two images (different look and squint angles) or from a change of the scatterer position or geometry within the resolution cell.…”

Section: Methodsmentioning

confidence: 99%

Recent land subsidence caused by the rapid urban development in the Hanoi region (Vietnam) using ALOS InSAR data

Dang

Doubre

Weber

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Abstract. Since the 1990s the land subsidence due to the rapid urbanization has been considered a severely destructive hazard in the center of Hanoi City. Although previous studies and measurements have quantified the subsiding deformation in Hanoi center, no data exist for the newly established districts in the south and the west, where construction development has been most significant and where groundwater pumping has been very intensive over the last decade. With a multi-temporal InSAR approach, we quantify the spatial distribution of the land subsidence in the entire Hanoi urban region using ALOS images over the 2007-2011 period. The map of the mean subsidence velocity reveals that the northern bank of the Red River appears stable, whereas some areas in southern bank are subsiding with a mean vertical rate up to 68.0 mm yr −1 , especially within the three new urban districts of Hoang Mai, Ha Dong -Thanh Xuan and Hoai DucTu Liem. We interpret the spatial distribution of the surface deformation as the combination of the nature of the unsaturated layer, the lowering of groundwater in the aquifers due to pumping withdrawal capacity, the increase of built-up surfaces and the type of building foundation. The piezometric level in Q p aquifer lowers particularly after 2008, whereas the groundwater level in Q h aquifer remains steady, even if it loses its seasonal fluctuation in urban areas and drawdowns in neighboring water production plants. The time evolution deduced from the InSAR time series is consistent with previous leveling data and shows that the lowering rate of the surface slightly decreases till 2008. The analysis of groundwater levels in instrumented wells shows a correlation between the behavior of groundwater with the urban development and the acceleration of groundwater withdrawal. Also, the time variations suggest that the deformation became non-stationary, with upward and downward transient displacements related to the charge and discharge of the aquifers.

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“…Atmospheric delay error, however, poses one of the major challenges to InSAR geodesy, especially for monitoring deformation signals with small magnitude and long wavelength. These deformation signals could be due to regional surface subsidence [1], landslides [2], volcanic eruptions [3], tidal loading [4], tectonic slow slip [5], and earthquakes [6]. Atmospheric delays are typically introduced by the ionosphere and the troposphere when radio signals propagate through the atmosphere.…”

Section: Introductionmentioning

confidence: 99%

Correcting InSAR Topographically Correlated Tropospheric Delays Using a Power Law Model Based on ERA-Interim Reanalysis

Zhu

Tang

2017

Remote Sensing

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Tropospheric delay caused by spatiotemporal variations in pressure, temperature, and humidity in the lower troposphere remains one of the major challenges in Interferometric Synthetic Aperture Radar (InSAR) deformation monitoring applications. Acquiring an acceptable level of accuracy (millimeter-level) for small amplitude surface displacement is difficult without proper delay estimation. Tropospheric delay can be estimated from the InSAR phase itself using the spatiotemporal relationship between the phase and topography, but separating the deformation signal from the tropospheric delay is difficult when the deformation is topographically related. Approaches using external data such as ground GPS networks, space-borne spectrometers, and meteorological observations have been exploited with mixed success in the past. These methods are plagued, however, by low spatiotemporal resolution, unfavorable weather conditions or limited coverage. A phase-based power law method recently proposed by Bekaert et al. estimates the tropospheric delay by assuming the phase and topography following a power law relationship. This method can account for the spatial variation of the atmospheric properties and can be applied to interferograms containing topographically correlated deformation. However, the parameter estimates of this method are characterized by two limitations: one is that the power law coefficients are estimated using the sounding data, which are not always available in a study region; the other is that the scaled factor between band-filtered topography and phase is inverted by least squares regression, which is not outlier-resistant. To address these problems, we develop and test a power law model based on ERA-Interim (PLE). Our version estimates the power law coefficients by using ERA-Interim (ERA-I) reanalysis. A robust estimation technique was introduced in the PLE method to estimate the scaled factor, which is insensitive to outliers. We applied the PLE method to ENVISAT ASAR images collected over Southern California, US, and Tianshan, China. We compared tropospheric corrections estimated from using our PLE method with the corrections estimated using the linear method and ERA-I method. Accuracy was evaluated by using delay measurements from the Medium Resolution Imaging Spectrometer (MERIS) onboard the ENVISAT satellite. 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.

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Land subsidence caused by the East Mesa Geothermal Field, California, observed using SAR interferometry

Cited by 131 publications

References 19 publications

Uplift around the geothermal power plant of Landau (Germany) as observed by InSAR monitoring

Uplift around the geothermal power plant of Landau (Germany) as observed by InSAR monitoring

Recent land subsidence caused by the rapid urban development in the Hanoi region (Vietnam) using ALOS InSAR data

Correcting InSAR Topographically Correlated Tropospheric Delays Using a Power Law Model Based on ERA-Interim Reanalysis

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