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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Improved Ground Subsidence Monitoring Using Small Baseline SAR Interferograms and a Weighted Least Squares Inversion Algorithm
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Improved Ground Subsidence Monitoring Using Small Baseline SAR Interferograms and a Weighted Least Squares Inversion Algorithm

机译：使用小基线SAR干涉图和加权最小二乘反演算法改进的地面沉降监测

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摘要

We present the application of a weighted least squares (WLS) method based on image mode interferometric data to monitor the spatiotemporal evolution of land surface subsidence in Mashhad valley, northeast Iran. The technique is based on an appropriate combination of differential interferograms produced by image pairs with small orbital separation to limit the spatial decorrelation phenomena. Our data consist of 17 ASAR single-look-complex images acquired from a descending orbit by the European ENVISAT satellite in image mode (I2), spanning a time interval from June 2004 to November 2007. Fifty-three reliable differential interferograms with relatively little noise and a continuous unwrapped phase are constructed from this data set and are analyzed using a WLS adjustment technique to produce time series of the displacement field. The time-series analysis suggests that the subsidence occurs within a northwest–southeast elongated elliptically shaped bowl along the axis of Mashhad valley. The maximum accumulated subsidence during the 1260-day period reaches approximately 86 cm, located northeast of Mashhad city. The comparison between SAR-interferometry time-series results with continuous Global Positioning System measurements yields an estimated root-mean-square error of $sim$1.0 cm.
机译：我们提出基于图像模式干涉数据的加权最小二乘（WLS）方法的应用，以监测伊朗东北部Mashhad谷地表沉降的时空演变。该技术基于适当的差分干涉图组合，这些差分干涉图由具有较小轨道间隔的图像对产生，以限制空间去相关现象。我们的数据包括2004年6月至2007年11月的时间间隔，由欧洲ENVISAT卫星以图像模式（I2）从下降轨道获取的17张ASAR单眼复杂图像。53个可靠的差分干涉图，噪声相对较小。根据该数据集构建一个连续展开相位，并使用WLS调整技术对其进行分析，以产生位移场的时间序列。时间序列分析表明，沉陷发生在沿Mashhad谷轴的西北东南偏长的椭圆形碗中。位于马什哈德市东北部的1260天期间，最大累积沉降量达到约86厘米。 SAR干涉仪时间序列结果与连续全球定位系统测量值之间的比较得出了估计的均方根误差$ sim $ 1.0 cm。

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