结合极化Sentinel-1 InSAR时间序列进行沉降监测的新框架——以悉尼为例

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Alex Hay-Man Ng , Ziyue Liu , Zheyuan Du , Hengwei Huang , Hua Wang , Linlin Ge
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引用次数: 1

摘要

在过去的几十年里,澳大利亚悉尼市的快速发展导致了住宅和交通基础设施的显著发展。与城市发展相关的地面沉降可能会导致严重的问题,这些问题应该得到彻底的了解和仔细的管理。为了应对这一挑战,研究人员开发了一种增强型极化时间序列InSAR (Pol-TS-InSAR)处理框架,利用双极化(DP) Sentinel-1数据,在TS-InSAR变形分析过程中整合来自不同极化通道的不同权重信息。在GPS测量的帮助下,使用Pol-TS-InSAR分析了2019年至2022年期间获取的90张DP Sentinel-1图像,以绘制悉尼的地面沉降图。与单一极化TS-InSAR相比,Pol-TS-InSAR的测量点密度在所有土地利用类型上都有所改善(范围在68%至208%之间)。Pol-TS-InSAR观测值与GPS观测值在垂直方向上的绝对平均差为0.75 mm/yr,均方根差为0.95 mm/yr。地面沉降分析结果表明,悉尼地区的主要沉降因素与地下水开采、采矿活动、地下隧道建设和垃圾填埋有关。在这项研究之前,后两个因素鲜为人知。除了这些因素外,与高层建筑施工有关的地面沉降也被观察到,尽管其影响似乎没有其他因素那么显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel framework for combining polarimetric Sentinel-1 InSAR time series in subsidence monitoring - A case study of Sydney

The rapid growth of the city of Sydney, Australia over the last decades, has led to significant development of residential and transportation infrastructure. Land subsidence associated with the urban development can lead to serious issues which should be thoroughly understood and carefully managed. To address this challenge, an enhanced polarisation time-series InSAR (Pol-TS-InSAR) processing framework was developed, using the dual polarisation (DP) Sentinel-1 data to integrate information from different polarimetric channels with different weighting during the TS-InSAR deformation analysis. Ninety DP Sentinel-1 images acquired between 2019 and 2022 are analysed using Pol-TS-InSAR to map the land subsidence in Sydney, with the assistance of the GPS measurements. Improvement of measurement points density from Pol-TS-InSAR is observed compared to the single polarimetric TS-InSAR counterpart for all land use types (ranging between 68% and 208%). The comparison between the Pol-TS-InSAR measurements and GPS measurements shows an absolute mean difference and RMS difference of 0.75 mm/yr and 0.95 mm/yr, respectively, in vertical direction. The results of the ground subsidence analysis revealed that the main subsidence factors in Sydney are related to groundwater extraction, mining activities, underground tunnel construction and landfill. The latter two factors were less well-known prior to this study. In additional to these factors, land subsidence related to high-rise building construction has also been observed, even though the impact seems to be less significant than other factors.

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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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