利用 LUTAN-1 SAR 数据和高分辨率光学数据对路基边坡坍塌进行多时监测

Xiang Zhang, Xinming Tang, Tao Li, Xiaoqing Zhou, Haifeng Hu, Xuefei Zhang, Jing Lu
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摘要

摘要崩塌是最具破坏性的自然灾害之一,具有突发性、频发性、隐蔽性强等特点,会造成大规模的破坏。2023年8月10日,陕西省渭南市108国道边坡发生崩塌。塌方坡体下缘为洛河,塌方体冲入洛河形成堰塞湖。遥感技术可以为灾害应急和管理提供多维信息。芦滩一号合成孔径雷达卫星是我国第一组多用途 L 波段合成孔径雷达星座。由于 "路坦一号 "合成孔径雷达卫星具有精确的轨道控制能力和高重访特性,可实现厘米级甚至毫米级精度的地表形变监测。基于多时相的灾前、灾后 "路坦一号 "合成孔径雷达数据和高分辨率光学数据,提取并分析了包括灾前、灾后在内的塌陷信息。从 2023 年 7 月 11 日到 27 日,获得了坍塌前的变形,最大值为 6 厘米,坍塌前发生了明显的变形。路坦一号 "坍塌前的监测结果可为灾害早期识别提供一定的信息。2023年7月27日至8月24日,由于大变形和地面变化造成的严重不一致性,基于InSAR技术无法获得有效的变形信息。此外,通过坍塌前和坍塌后获取的高分辨率光学数据,可以清晰地提取坍塌信息。塌陷后,从 8 月 24 日至 9 月 21 日提取到了明显的形变,最大值为 6 厘米,表明塌陷区仍发生了明显的形变。通过对合成孔径雷达和光学数据得到的序列结果进行分析,有利于灾害应急和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-temporal Monitoring for Road Slope Collapse by Means of LUTAN-1 SAR Data and High Resolution Optical Data
Abstract. Collapse is one of the most destructive natural disaster, being sudden, frequent, and highly concealed, causing large-scale damage. On August 10, 2023, the slope of 108 national highway in Weinan, Shaanxi Province collapsed. The lower edge of the collapse slope body is the Luohe river, and the collapse body rushes into the river to form a barrier lake. Remote sensing technique can provide multiple dimensional information for disaster emergency and management. Lutan-1 SAR satellites are the first group L-band SAR constellation for multiple applications in China. Owing to the precise orbit control ability and high revisit characteristics for Lutan-1 SAR satellites, surface deformation monitoring with centimeter even millimeter accuracy may be achieved. Based on the multi-temporal pre-disaster and post-disaster Lutan-1 SAR data and high resolution optical data, the collapse information including the pre-disaster and post-disaster were extracted and analysed. From July 11 to 27, 2023, the pre-collapse deformation was obtained with the maximum value of 6 cm, and obvious deformation occurred before the collapse. Lutan-1 monitored results pre-collapse can provide certain information for disaster early identification. From July 27 to August 24, 2023, due to the serious incoherence caused by large deformation and ground changes, effective deformation information cannot be obtained based on the InSAR technique. In addition, the collapse information was clearly extracted by the high resolution optical data acquired pre-collapse and post collapse. After the collapse, significant deformation was extracted from August 24 to September 21 with the maximum value of 6 cm, indicating that obvious deformation still occurred over the collapse area. Through the analysis for the series results obtained by SAR and optical data, it is favourable for disaster emergency and management.
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