利用季节性淹没分布散射体InSAR (SIDS - InSAR)提取小浪底上游坝坡年代际变形

Lei Xie , Wenbin Xu , Yosuke Aoki
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引用次数: 0

摘要

利用干涉合成孔径雷达(InSAR)估算上游坝坡变形具有挑战性,因为上游坝坡在季节性淹没时完全失去了相干性。本文提出了一种改进的分布式散射体- insar方法,该方法考虑了上游坝坡的季节性去相关,并优化了跨年和多年基线的干涉图对选择。我们将这种新方法命名为季节性淹没分布式散射体InSAR (SIDS-InSAR)。利用2007-2023年中国小浪底水库(XLD)多传感器InSAR观测数据(包括Sentinel-1、ALOS-1和ALOS-2),对该方法进行了应用。结果表明:在XLD上游1540 × 50 m2的坡面上绘制了新的变形图,沉降量分别为4.7 cm/yr(2007-2010)和2.5 cm/yr(2015-2023),与水准测量值相比RMSE为0.62 cm/yr。坝体上游、坝顶和下游的变形速率分别为3.7、4.2和3.2 cm/yr。本研究表明,SIDS-InSAR方法有潜力提供更全面的坝体变形时间序列,特别是对于前缘上游坡段。
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Extracting a decadal deformation on Xiaolangdi upstream dam slope using seasonally inundated distributed scatterers InSAR (SIDS − InSAR)
Estimating deformation at the upstream dam slope from Interferometric Synthetic Aperture Radar (InSAR) is challenging due to the complete loss of coherence in seasonally inundated upstream slope. Here, we present an improved Distributed Scatterer-InSAR method that accounts for the seasonal decorrelation of upstream dam slopes and optimizes the interferogram pair selection with inter- and multi-annual baselines. We term this novel method Seasonally Inundated Distributed Scatterer InSAR (SIDS-InSAR). We apply the method with multi-sensor InSAR observations during 2007–2023 at the Xiaolangdi Reservoir (XLD), China, including Sentinel-1, ALOS-1, and ALOS-2. The results show that a new deformation map on a 1540 × 50 m2 upstream slope in XLD, and a decaying settlement of 4.7 cm/yr (2007–2010) and 2.5 cm/yr (2015–2023), with an RMSE of 0.62 cm/yr compared to the leveling measurement. Additionally, the deformation rates are heterogeneous across the dam body as 3.7, 4.2, and 3.2 cm/yr for upstream, crest, and downstream, respectively. This study demonstrates that the SIDS-InSAR method has potential to provide a more comprehensive deformation time series of dam body, especially for the leading-edge upstream slope part.
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来源期刊
International journal of applied earth observation and geoinformation : ITC journal
International journal of applied earth observation and geoinformation : ITC journal Global and Planetary Change, Management, Monitoring, Policy and Law, Earth-Surface Processes, Computers in Earth Sciences
CiteScore
12.00
自引率
0.00%
发文量
0
审稿时长
77 days
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
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