2012
DOI: 10.1016/j.rse.2011.09.005
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Monitoring land subsidence and its induced geological hazard with Synthetic Aperture Radar Interferometry: A case study in Morelia, Mexico

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Cited by 159 publications
(99 citation statements)
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“…This subsidence area is general consistent with that of the compressible deposit (Q4) distribution in Figure 2a. In order to quantitatively analyze the relationship between the depth of compressible sediments and land subsidence [28], we generated the distribution of recent soft soil thickness of the Holocene age with 22 boreholes by the method of [29], see Figure 2b. The statistical results of mean subsidence rate and pixel numbers of ALOS1 are shown in Figure 6 due to a more complete coverage compared with the other two satellites.…”
Section: Rates Of Land Subsidencementioning
confidence: 99%
“…This subsidence area is general consistent with that of the compressible deposit (Q4) distribution in Figure 2a. In order to quantitatively analyze the relationship between the depth of compressible sediments and land subsidence [28], we generated the distribution of recent soft soil thickness of the Holocene age with 22 boreholes by the method of [29], see Figure 2b. The statistical results of mean subsidence rate and pixel numbers of ALOS1 are shown in Figure 6 due to a more complete coverage compared with the other two satellites.…”
Section: Rates Of Land Subsidencementioning
confidence: 99%
“…For the selection of the stable pixels (or PS pixels), Ferretti et al (2001) developed a method based on the variation of the pixel amplitude in a series of numerous interferograms particularly adapted for urban areas and fast displacement rates. Many studies have been focused on land subsidence using the former PS method (e.g., Kim et al, 2007;Stramondo et al, 2008;Cigna et al, 2012;Tung and Hu, 2012). Hooper et al (2004) developed a method based on the spatial correlation of the phase and the amplitude, as well as suitability for natural outcrops and low displacement rates.…”
Section: Methodsmentioning
confidence: 99%
“…Multi-Temporal Synthetic Aperture Radar Interferometry (MT-InSAR), using a time-series of Synthetic Aperture Radar (SAR) images acquired over the same area to extract displacement information, overcomes the intrinsic limitations of conventional differential radar interferometry in terms of geometrical and temporal de-correlation, as well as atmospheric artifacts. It provides an effective solution to measure large-scale surface deformations with accuracy up to the millimeter level [16][17][18][19][20][21][22][23][24].…”
Section: Large-scale Deformation Monitoring Over Heritage Sitesmentioning
confidence: 99%