Understanding Mountain-Wave Phases in ERS Tandem DInSAR Interferogram Using WRF Model Simulation

被引：1

作者：

Yun, Ye ^{[1
,2
]}

Zeng, Qiming ^{[1
]}

Lv, Xiaolei ^{[2
]}

机构：

[1] Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China

[2] Chinese Acad Sci, Inst Elect, Beijing 100190, Peoples R China

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2018年 / 56卷 / 05期

关键词：

Atmospheric correction; differential synthetic aperture radar interferometry (DInSAR); mountain wave; weather research and forecasting (WRF); ATMOSPHERIC CORRECTION; NUMERICAL SIMULATIONS; TROPOSPHERIC DELAY; INSAR MEASUREMENTS; DATA ASSIMILATION; GPS METEOROLOGY; TURBULENCE; MODIS; FIELD;

D O I：

10.1109/TGRS.2017.2782684

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Repeat-pass spaceborne differential synthetic aperture radar interferometry (DInSAR) is commonly used to measure surface deformation. However, the phase delay due to the atmospheric water vapor has a significant influence on the accuracy of DInSAR results. On the other hand, the signal delay in DInSAR can give the spatial variation information of water vapor during the two image acquisitions. There are some ripple-like phase signals in DInSAR, which are probably due to the mountain wave in the study area. In this paper, the weather research and forecasting (WRF) model is used to simulate the atmospheric delay and compared to the phase delay derived from DInSAR results to understand the mountain-wave phases in interferograms. The results indicate that the ripple-like phase signal in the DInSAR phase is due to different intensities of the mountain wave in two acquisitions. The WRF model can be used to explain the mechanism of mountain-wave phase in DInSAR, which may then, hopefully, he used for DInSAR atmospheric correction.

引用

页码：2762 / 2771

页数：10