每年專案
摘要
The landslide monitoring method that uses the Sentinel 1A Interferogram Synthetic Aperture Radar (InSAR) through the Stanford Method for Persistent Scatterers (StaMPS) method is a complimentary but complex procedure without exact guidelines. Hence, this paper delivered a parametric test by examining the optimal settings of the Sentinel 1A Persistent Scatterer (PS)- and Small Baseline Subset (SBAS)-InSAR using the StaMPS compared to the Global Navigation Satellite Systems (GNSS) in landslide cases. This study first revealed parameters with the suggested values, such as amplitude dispersion used to describe amplitude stability, ranging from 0.47 to 0.48 for PS and equal to or more than 0.6 for SBAS in WuWanZai, Ali Mt. The study further examined the suggested values for other factors, including the following: unwrap grid size to re-estimate the size of the grid; unwrap gold n win as the Goldstein filtering window to reduce the noise; and unwrap time win as the smoothing window (in days) for estimating phase noise distributions between neighboring pixels. Furthermore, the study substantiated the recommended settings in the Woda and Shadong landslide cases with the GNSS, inferring that the SBAS has adequate feasibility in practical landslide monitoring.
原文 | ???core.languages.en_GB??? |
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文章編號 | 4662 |
期刊 | Remote Sensing |
卷 | 15 |
發行號 | 19 |
DOIs | |
出版狀態 | 已出版 - 10月 2023 |
指紋
深入研究「Parametric Test of the Sentinel 1A Persistent Scatterer- and Small Baseline Subset-Interferogram Synthetic Aperture Radar Processing Using the Stanford Method for Persistent Scatterers for Practical Landslide Monitoring」主題。共同形成了獨特的指紋。專案
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多元尺度調查方法於道路岩坡破壞特性、監測及整治技術機制評估之研究-多重時空間尺度監測技術融合於岩石邊坡預警與整治應用之研發(子計畫七)(I)
Chung, C.-C. (PI)
1/08/20 → 31/10/21
研究計畫: Research