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Investigating the optimal integration of airborne, ship-borne, satellite and terrestrial gravity data for use in geoid determination

机译:研究用于确定大地水准面的机载,舰载,卫星和地面重力数据的最佳集成

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摘要

Each gravity observation technique has different parameters and contributes to different pieces of the gravity spectrum. This means that no one gravity dataset is able to model the Earth’s gravity field completely and the best gravity map is one derived from many sources. Therefore, one of the challenges in gravity field modelling is combining multiple types of heterogeneous gravity datasets.The aim of this study is to determine the optimal method to produce a single gravity map of the Canterbury case study area, for the purposes of use in geoid modelling.This objective is realised through the identification and application of a four-step integration process: purpose, data, combination and assessment. This includes the evaluation of three integration methods: natural neighbour, ordinary kriging and least squares collocation.As geoid modelling requires the combination of gravity datasets collected at various altitudes, it is beneficial to be able to combine the dataset using an integration method which operates in a three-dimensional space. Of the three integration methods assessed, least squares collocation is the only integration method which is able to perform this type of reduction.The resulting product is a Bouguer anomaly map of the Canterbury case study area, which combines satellite altimetry, terrestrial, ship-borne, airborne, and satellite gravimetry using least squares collocation.
机译:每种重力观测技术都有不同的参数,并且对重力谱有不同的影响。这意味着,没有一个重力数据集能够完全模拟地球的重力场,而最佳的重力图就是从许多来源得出的。因此,重力场建模的挑战之一是组合多种类型的非均质重力数据集。本研究的目的是确定在坎特伯雷案例研究区域生成单一重力图的最佳方法,以用于大地水准面通过识别和应用四步集成过程(目的,数据,组合和评估)来实现此目标。其中包括对三种整合方法的评估:自然邻域,普通克里金法和最小二乘搭配。由于大地水准面建模需要结合在不同海拔高度收集的重力数据集,因此能够使用在一个三维空间。在所评估的三种积分方法中,最小二乘搭配是唯一能够执行这种归约的积分方法,其结果是坎特伯雷案例研究区域的布格异常图,该图结合了卫星测高,地面,舰载,机载和卫星重力分析,使用最小二乘搭配。

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    Winefield Rachelle;

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  • 年度 2016
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  • 正文语种 en_NZ
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