InSAR-based Line-of-sight Displacement at Los Angeles Area
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https://data.lib.vt.edu/articles/dataset/InSAR-based_Line-of-sight_Displacement_at_Los_Angeles_Area/21818604
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Line-of-sight Displacement across Los Angeles as shown in Fig 14b of Lee and Shirzaei (2023) Remote Sensing of Environment. Volume 286, 113447 The SAR data sets spanning from 26 February 2016 to 29 August 2022 include 247 images in descending orbits of the Sentinel-1 C-band satellite. The data set is processed using WabInSAR algorithm. See citations below for details. Associated Resource Citation: Lee, Jui-Chi, and Shirzaei. Manoochehr (2023), Novel Algorithms for Pair and Pixel Selection and Atmospheric Error Correction in Multitemporal InSAR, Remote Sensing of Environment. Volume 286, 113447, doi:10.1126/j.rse.2022.113447 References: [1] M. Shirzaei, J. Freymueller, T. E. Törnqvist, D. L. Galloway, T. Dura, and P. S. J. Minderhoud, "Measuring, modelling and projecting coastal land subsidence," Nature Reviews Earth & Environment, 2020/12/10 2021, doi: 10.1038/s43017-020-00115-x. [2] M. M. Miller and M. Shirzaei, "Assessment of future flood hazards for southeastern Texas: Synthesizing subsidence, sea‐level rise, and storm surge scenarios," Geophysical Research Letters, vol. 48, no. 8, p. e2021GL092544, 2021. [3] E. Blackwell, M. Shirzaei, C. Ojha, and S. Werth, "Tracking California’s sinking coast from space: Implications for relative sea-level rise," Science Advances, vol. 6, no. 31, p. eaba4551, 2020, doi: 10.1126/sciadv.aba4551. [4] C. Ojha, M. Shirzaei, S. Werth, D. F. Argus, and T. G. Farr, "Sustained Groundwater loss in California's Central Valley exacerbated by intense drought periods," Water resources research, vol. 54, no. 7, pp. 4449-4460, 2018. [5] M. Shirzaei and R. Bürgmann, "Time-dependent model of creep on Hayward fault inferred from joint inversion of 18 years InSAR time series and surface creep data," J. Geophys. Res. Solid Earth, vol. 118, no. 1733–1746, p. doi:10.1002/jgrb.50149, 2013. [6] M. Shirzaei, "A Wavelet-Based Multitemporal DInSAR Algorithm for Monitoring Ground Surface Motion," (in English), Ieee Geoscience and Remote Sensing Letters, vol. 10, no. 3, pp. 456-460, May 2013, doi: Doi 10.1109/Lgrs.2012.2208935. [7] M. Shirzaei and R. Bürgmann, "Topography correlated atmospheric delay correction in radar interferometry using wavelet transforms," Geophysical Research Letters, vol. 39, no. 1, p. doi: 10.1029/2011GL049971, Jan 6 2012. [Online]. Available: ://WOS:000298930900002 [8] M. Shirzaei, R. Bürgmann, and E. J. Fielding, "Applicability of Sentinel‐1 Terrain Observation by Progressive Scans multitemporal interferometry for monitoring slow ground motions in the San Francisco Bay Area," Geophysical Research Letters, vol. 44, no. 6, pp. 2733-2742, 2017, doi: 10.1002/2017GL072663. <br>
本数据集包含洛杉矶地区的视线向位移数据,对应Lee与Shirzaei(2023)发表于《Remote Sensing of Environment》第286卷第113447号文章的图14b。
该SAR数据集的时间跨度为2016年2月26日至2022年8月29日,涵盖哨兵-1(Sentinel-1)C波段卫星降轨轨道下的247景影像。本数据集采用WabInSAR算法进行处理,详细信息请参阅下方引用文献。
相关资源引用:Lee, Jui-Chi 与 Shirzaei, Manoochehr(2023). 《多时相InSAR(合成孔径雷达干涉测量,Interferometric Synthetic Aperture Radar)中的配对与像元选择及大气误差校正新算法》,《Remote Sensing of Environment》,第286卷,第113447号文章,DOI:10.1126/j.rse.2022.113447
参考文献:
[1] M. Shirzaei、J. Freymueller、T. E. Törnqvist、D. L. Galloway、T. Dura 与 P. S. J. Minderhoud. 《海岸陆地沉降的测量、建模与预测》,《自然综述:地球与环境》,2020年12月10日在线发表,2021,DOI:10.1038/s43017-020-00115-x.
[2] M. M. Miller 与 M. Shirzaei. 《德克萨斯州东南部未来洪水灾害评估:整合沉降、海平面上升与风暴潮情景》,《地球物理研究通讯》,第48卷第8期,e2021GL092544页,2021.
[3] E. Blackwell、M. Shirzaei、C. Ojha 与 S. Werth. 《从太空追踪加利福尼亚下沉海岸:相对海平面上升的启示》,《科学进展》,第6卷第31期,eaba4551页,2020,DOI:10.1126/sciadv.aba4551.
[4] C. Ojha、M. Shirzaei、S. Werth、D. F. Argus 与 T. G. Farr. 《极端干旱期加剧加利福尼亚中央谷持续地下水流失》,《水资源研究》,第54卷第7期,第4449-4460页,2018.
[5] M. Shirzaei 与 R. Bürgmann. 《基于18年InSAR时间序列与地表蠕变数据联合反演推导的海沃德断层蠕变时变模型》,《地球物理学研究杂志:固体地球》,第118卷,第1733-1746页,DOI:10.1002/jgrb.50149,2013.
[6] M. Shirzaei. 《基于小波的多时相DInSAR(差分合成孔径雷达干涉测量)地表运动监测算法》(英文),《IEEE地球科学与遥感快报》,第10卷第3期,第456-460页,2013年5月,DOI:10.1109/Lgrs.2012.2208935.
[7] M. Shirzaei 与 R. Bürgmann. 《基于小波变换的雷达干涉测量地形相关大气延迟校正》,《地球物理研究通讯》,第39卷第1期,DOI:10.1029/2011GL049971,2012年1月6日在线发表,可获取于:WOS:000298930900002.
[8] M. Shirzaei、R. Bürgmann 与 E. J. Fielding. 《哨兵-1(Sentinel-1)渐进扫描地形观测模式多时相干涉测量在旧金山湾区慢速地表运动监测中的适用性》,《地球物理研究通讯》,第44卷第6期,第2733-2742页,2017,DOI:10.1002/2017GL072663.
提供机构:
University Libraries, Virginia Tech
创建时间:
2023-01-05



