摘要详情
206 / 2023-09-15 17:10:20
Evaluation of tropospheric delay correction based on StaMPS-PS timing InSAR
time-series InSAR; StaMPS PSI; linear correction; GACOS; ERA5 dataset
摘要待审
Time-series analysis is a key technique in interferometric synthetic aperture radar (InSAR), which is widely used to monitor slow surface deformation over large areas. This method can provide the ability to monitor deformation over a wide range and large area. Among them, the StaMPS PS method has been favored by many scholars due to its advantages of wide application range and open source. However, in time-series InSAR, the delayed phase of the troposphere will lead to the degradation of the deformation monitoring accuracy. Therefore, this paper analyzes the linear correction of empirical model, the GACOS (generic atmospheric correction online service for InSAR) correction and the latest release of the European Center for Medium-Range Weather Forecasts ( ECMWF) with the city of Hefei as the study area. ECMWF (European Center for Medium-Range Weather Forecasts), and compare the correction effects of these three methods in the time-series InSAR inversion of deformation rate. The standard deviations in the study area are obtained by calculation, and the related reasons are analyzed and validated for comparison. The standard deviations of linear correction, ERA5 and GACOS correction are reduced by 21.71%, 16.14% and 10.38%, respectively. For the Hefei region, these three methods can attenuate the effect of tropospheric delay and improve the accuracy, among which the linear correction has the best effect and higher applicability, while the ERA5 and GACOS are affected by the weather and the density of the ground monitoring points, which have poorer correction effect in this region.
重要日期
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会议日期
10月26日
2023
至10月29日
2023
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10月15日 2023
摘要截稿日期
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10月15日 2023
初稿截稿日期
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11月13日 2023
注册截止日期
主办单位
国际矿山测量协会
中国煤炭学会
中国测绘学会
中国煤炭学会
中国测绘学会
承办单位
中国矿业大学
中国煤炭科工集团有限公司
中国煤炭科工集团有限公司
