IPTA监测圣佩德罗湾港口地表时序沉降

常规D-InSAR技术已成功应用于由于火山、地震等引起的地表形变监测,然而受时间失相干和大气延迟等影响,该技术监测地表沉降形变的精度只能达厘米级。本文以美国圣佩德罗湾港口为研究对象,采用干涉点目标分析(IPTA)技术,选用二维线性相位模型对时序差分干涉相位图迭代回归分析,逐次去除大气延迟、DEM误差以及噪声等的影响,最终提取出准确可靠的形变序列相位信息。结果证明IPTA技术对长期微小的地壳累积形变探测具有广阔的应用前景,而且IPTA技术在实现效率和数据存储方面都优于常规的PS-InSAR。

IPTA monitoring long-term series surface deformation of SAN PEDRO

The conventional D-InSAR technique has been successfully applied in the volcano,earthquake induced surface deformation monitoring of large scale.However with the loss of coherence and atmospheric delay effect,the traditional D-InSAR technology for monitoring surface subsidence deformation precision is restricted.In this paper,SAN PEDRO in the United States was an experimental area in using IPTA(IPTA)technology.Using two dimension linear model of phase,regression analysis of differential interferometric phases were calculated in all high coherent point targets on time serial of images.Phase errors as atmospheric delay,orbit residuals and topographic influence were eliminated step by step.We used 31 scenes of ASAR data from June 18,2005 to September 5,2009 to examine the deformation in the area about 20mm/yr,which is roughly in agreement with GPS and the RMS reached 4mm.The result suggested that the IPTA technique be not only capable of detecting long-term accumulated crustal deformation on landslip and active faults,but also superior to the conventional PS-INSAR in the realization of efficiency and data storage.