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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing. >Integration of GNSS and Satellite InSAR Data: Derivation of Fine-Scale Vertical Surface Motion Maps of Po Plain, Northern Apennines, and Southern Alps, Italy
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Integration of GNSS and Satellite InSAR Data: Derivation of Fine-Scale Vertical Surface Motion Maps of Po Plain, Northern Apennines, and Southern Alps, Italy

机译:GNSS和卫星InSAR数据的集成:意大利大平原,北亚平宁山脉和南阿尔卑斯山的精细尺度垂直表面运动图的推导

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Global Navigation Satellite System (GNSS) and satellite synthetic aperture radar (SAR) interferometry represent the most important space geodetic techniques usually exploited to measure millimetric ground deformation on earth surface at both local and wide-area scale. SAR images processed with persistent scatterers interferometry (PSI) multitemporal approach lack of an absolute reference datum. In this paper, SAR images are calibrated with data derived from permanent GNSS stations, in order to obtain absolute and more accurate displacement values. The method used to correct PSI with GNSS is based on existing methodologies commonly applied in the geodetic practice of combining crustal and local deformation studies with geospatial statistical analysis. The spatial distribution of vertical terrain deformations and their temporal changes are coherently measured, leading to a fine-scale surface velocity map in the central-eastern Po Plain, Northern Apennines, and Southern Alps in Italy. The results reveal significant subsidence rates on the north-western Adriatic coast including the Po Delta and the lagoon of Venice, as well as on Bologna and Ferrara cities in agreement with long-term displacement motion values provided by geological data and other previous works performed at local scale. This paper demonstrates the importance and effectiveness in creating a single, unique surface motion map by merging different data sets in which geodesy plays a relevant role in the datum alignment of PSI products before the stacking of the SAR maps.
机译:全球导航卫星系统(GNSS)和卫星合成孔径雷达(SAR)干涉测量法是最重要的空间大地测量技术,通常用于在局部和广域范围内测量地表上的毫米波地面变形。使用持久散射体干涉术(PSI)多时相方法处理的SAR图像缺少绝对参考数据。在本文中,使用来自永久性GNSS站的数据对SAR图像进行了校准,以获得绝对且更准确的位移值。用GNSS校正PSI的方法基于大地测量实践中常用的现有方法,该方法结合了地壳和局部变形研究与地理空间统计分析。连贯地测量了垂直地形变形及其时间变化的空间分布,从而在意大利中部的波平原,北亚平宁山脉和南阿尔卑斯山形成了精细的表面速度图。结果表明,西北亚得里亚海沿岸(包括大三角洲和威尼斯泻湖)以及博洛尼亚和费拉拉等城市的沉陷率均很高,这与地质数据和其他先前在2000年进行的工作提供的长期位移运动值一致当地规模。本文证明了通过合并不同的数据集来创建单个唯一的表面运动图的重要性和有效性,其中在SAR图叠加之前,大地测量在PSI产品的基准对齐中起着重要作用。

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