Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model
Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model
复制标题
使用 InSAR 和 Logistic 模型推导煤矿区的动态沉降
DOI：
10.3390/rs9020125
复制
发表时间：
2017-02-01
期刊：
影响因子：
5
通讯作者：
Feng, Guangcai
中科院分区：
文献类型：
--
作者：
Yang, Zefa;Li, Zhiwei;Feng, Guangcai
煤矿区地表覆盖的季节性变化和大的形变梯度往往会导致干涉合成孔径雷达（干涉合成孔径雷达）干涉图存在严重的时间和几何去相关现象。因此，通常可用的干涉合成孔径雷达对不覆盖SAR采集的整个时间段，即，在多时相干涉合成孔径雷达观测中存在时间间隔。在这种情况下，传统的时间序列干涉合成孔径雷达技术很难准确估计开采引起的动态沉陷。在这项调查中，我们采用了一个逻辑模型，已被广泛应用于描述与采矿有关的动态沉降，以弥合在多时相干涉合成孔径雷达观测的时间差距。更具体地说，我们首先建立了干涉合成孔径雷达观测值和logistic模型之间的函数关系，然后我们开发了一种方法来估计模型参数的logistic模型从干涉合成孔径雷达观测时间间隔。在得到这些模型参数后，可以用Logistic模型估计动态沉降。为了验证所提出的方法，在大同矿区进行了模拟和真实的数据实验。结果表明，大同矿区2007年7月1日至2009年2月28日期间的最大沉陷量约为1.26 m，动态沉陷估算精度约为0.017 m。与传统的时间序列干涉合成孔径雷达技术的线性和三次多项式模型相比，Logistic模型计算的动态沉降精度分别提高了50.0%和45.2%。
The seasonal variation of land cover and the large deformation gradients in coal mining areas often give rise to severe temporal and geometrical decorrelation in interferometric synthetic aperture radar (InSAR) interferograms. Consequently, it is common that the available InSAR pairs do not cover the entire time period of SAR acquisitions, i.e., temporal gaps exist in the multi-temporal InSAR observations. In this case, it is very difficult to accurately estimate mining-induced dynamic subsidence using the traditional time-series InSAR techniques. In this investigation, we employ a logistic model which has been widely applied to describe mining-related dynamic subsidence, to bridge the temporal gaps in multi-temporal InSAR observations. More specifically, we first construct a functional relationship between the InSAR observations and the logistic model, and we then develop a method to estimate the model parameters of the logistic model from the InSAR observations with temporal gaps. Having obtained these model parameters, the dynamic subsidence can be estimated with the logistic model. Simulated and real data experiments in the Datong coal mining area, China, were carried out in this study, in order to test the proposed method. The results show that the maximum subsidence in the Datong coal mining area reached about 1.26 m between 1 July 2007 and 28 February 2009, and the accuracy of the estimated dynamic subsidence is about 0.017 m. Compared with the linear and cubic polynomial models of the traditional time-series InSAR techniques, the accuracy of dynamic subsidence derived by the logistic model is increased by about 50.0% and 45.2%, respectively.