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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Integration of Sentinel-1 Interferometry and GNSS Networks for Derivation of 3-D Surface Changes
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Integration of Sentinel-1 Interferometry and GNSS Networks for Derivation of 3-D Surface Changes

机译：Sentinel-1干涉测量和GNSS网络的集成，用于推导3-D表面变化

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摘要

We present a new procedure and program system to integrate Sentinel-1 synthetic aperture radar (SAR) interferometry and Global Navigation Satellite System (GNSS) network observations to estimate 3-D surface changes caused by environmental processes. The procedure is based on the integrated geodetic/geodynamic benchmarks, which are equipped with both ascending (ASC) and descending (DSC) corner reflectors. The results of sparse GNSS observations are interpolated using the ASC and DSC line-of-sight changes provided by the Sentinel-1 mission every six days. The data integration is carried out using a Kalman filter where north, east, and up (vertical) coordinates and their instantaneous velocities are estimated and updated by the GNSS-derived data. The north components are essentially provided by the GNSS observations alone. The procedure was developed and successfully tested on landslide areas in Hungary.
机译：我们提出了一种新的程序和程序系统，将哨兵-1合成孔径雷达（SAR）干涉测量和全球导航卫星系统（GNSS）网络观测集成，以估计由环境过程引起的3D表面变化。该过程基于集成的大地测量/地磁基准，其配备升序（ASC）和下降（DSC）角反射器。使用Sentinel-1任务提供每六天的ASC和DSC视线改变，内插的稀疏GNSS观察结果。使用Kalman滤波器进行数据集成，其中北，东部和上升（垂直）坐标及其瞬时速度估计并由GNSS派生数据更新。北方组件本质上仅由GNSS观察结果提供。该程序是在匈牙利的滑坡地区开发和成功测试。

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