共查询到19条相似文献，搜索用时 109 毫秒
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位于三峡库区的特高压输电线路是我国电力供应的重要一环,由于三峡库区以滑坡为主的地质灾害频发,严重威胁了特高压输电线路的安全,因此滑坡的监测和识别对特高压输电线路的安全运行尤为重要。针对三峡库区复杂的地形和气候条件,本文提出自适应优化构网的方法,并应用于时序InSAR处理流程,对三峡库区万州—巴东的84景Sentinel-1数据进行处理,实现特高压输电通道的地表形变监测。使用同步观测的北斗卫星导航系统观测数据和金鸡岭滑坡的实地考察数据,验证了时序InSAR监测结果的可靠性。根据时序InSAR的监测结果,在输电通道内识别出8处明显的滑坡隐患,进一步对监测的金鸡岭滑坡时间序列形变进行分析,发现该滑坡的形变特征与降雨、库水位和工程扰动有一定的关联。 相似文献
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地铁建设会引发城市地表形变灾害,而传统的合成孔径雷达差分干涉测量（D-InSAR）难以实现城市地铁工程区域的精细测量。本文利用TerraSAR-X高分辨率数据,采用PS-InSAR和SBAS-InSAR方法对徐州地铁1号线东部工程场地进行了形变监测,获取了该区域2016年6月15日-2016年9月11日期间的形变时序图。通过与人工角反射器布设点的水准测量数据对比分析,发现利用两种时序InSAR测量方法得到的地表形变结果与水准测量结果非常一致,形变误差均在1 mm以内;而SBAS-InSAR探测地表形变的敏感性低于PS-InSAR。结果表明,利用高分辨率SAR影像监测城市地铁形变具有亚毫米级的测量精度和米级的定位能力,同时证明了时序InSAR分析技术在城市地铁工程形变监测应用中的广阔前景。 相似文献
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合成孔径雷达干涉测量（interferometric synthetic aperture radar，InSAR）作为近年来迅速发展的空间大地测量新技术，具有监测精度高、范围大、空间覆盖连续等优点，是解决水利工程形变监测时空连续性问题的有力手段。针对时序InSAR水库大坝形变监测应用中存在的问题，结合环境特殊性和复杂性，研究适合实际需求的时序InSAR分析方法。广南水库的应用实践表明，时序InSAR方法可探测到坝体表面高质量的散射体目标并提取较高精度的形变序列，验证了其对水库大坝、防潮堤等水工建筑物进行形变监测的有效性。时序InSAR形变监测方法在水库安全状况普查及形变历史回溯中具有巨大的应用潜力。 相似文献
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多时相InSAR技术具有探测大范围毫米级地表形变的能力,已被广泛应用于地面沉降监测.近几年,应用多时相InSAR技术监测以高铁为代表的大尺度人造线状地物形变备受关注.本文将C波段SAR数据用于高铁沿线路基形变监测,应用相位稳定性分析和改进的StaMPS技术来增加相干性点的密度和形变参数解算的稳定性.采用研究区时间跨度为21个月的47景Sentinel-1A数据,对连(云港)盐(城)高铁及其沿线区域进行多时相InSAR分析,并利用同时期连续的北斗导航卫星系统(BeiDou navigation satellite system,BDS)观测数据对线性沉降速率和时序位移分别进行监测分析,进而对比验证二者的沉降监测结果.研究结果表明:利用C波段的Sentinel-1A数据能够获取毫米级的线性形变速率和时序位移序列,InSAR与BDS二者平均时序位移均方根误差为3.8 mm,与BDS监测结果相比取得很好的一致性,且连盐高铁线路整体表现稳定. 相似文献
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本文通过列举3个工程案例说明InSAR技术在开采沉陷中的应用,首先将InSAR技术与三等水准测量进行对比,明确了InSAR技术在矿区形变监测领域的精度和可靠性;然后针对淮南某关停矿井,应用SBAS-InSAR技术获取了研究区的时序形变信息,并对照采空区稳定性评价指标,得出了该矿区地表已稳定的结论;最后以某村庄部分房屋建筑出现不同程度的损伤为研究背景,在常规方法获取开采影响范围的基础上,进一步利用SBAS技术和8景Sentinel-1A数据,明确了村庄地表已处于稳定状态。结果表明,InSAR形变监测技术能够为开采沉陷损害溯源及沉陷稳定性判定提供有力的科学依据。 相似文献
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正合成孔径雷达干涉测量(InSAR)技术作为近年来发展起来的一种空间对地观测技术被广泛应用于不同类型的地表形变监测。为克服时间、空间基线失相干,DEM误差、大气延迟效应等因素对形变监测的影响,具有稳定后向散射特性的相干点目标作为研究对象的时序InSAR技术应运而生。然而,由于其应用研究起步较晚,在高精度地表形变监测中仍面临诸多技术难题,如常规SBAS方法时序形变监测时因多数据子集而导致的基准缺失、低相干条件下高相干点目标的有效识别、时序InSAR大范 相似文献
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利用时序PS-InSAR监测青藏高原冻土区地表形变 总被引：1，自引：0，他引：1
多年冻土及其活动层的变化对研究全球气候变化和生物多样性具有重要意义。传统的冻土测量方法通常只针对特定地点,空间覆盖范围有限,尤其是青藏高原冻土。本文采用C波段Sentinel-1A IW模式数据并结合一种顾及永久散射体的小基线SAR干涉（SBAS）技术,对青藏高原沱沱河地区地面形变和冻融过程进行了研究。探测到的地面位移速率（主要范围为-20~20 mm/a）和位移时间序列反映了多年冻土及活动层的演化。试验结果与水准测量数据具有较好的一致性,且该方法优于一般多时相InSAR方法。此外,分析了SAR成像几何与地表位移之间的关系,解释了在多年冻土区特别是对于山坡的运动趋势。试验结果展示了InSAR的监测能力,并提高了对多年冻土区地表形变的认识。 相似文献
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Multi-temporal InSAR technique can implement continuous earth surface deformation detection with long time scale and wide geographical coverage. In this paper, we first employ the Small Baseline Subset method to survey potential landslides in Guide County, Qinghai Province, which is identified as a loess landslide prone area for geological and climate conditions. Two anomalous deformation regions are detected by L-band Phased Array and L-band Synthetic Aperture Radar stacks. Then, qualitative and quantitative evaluations of the measuring points are given for understanding the distribution regularity of deformation. Finally, preliminary correlation between the time-series deformation and triggering factors is analyzed to explore the driving mechanism for landslide movement. The results demonstrate that L-band SAR has high potential in landslide monitoring applications and can be used as the basis for landslide recognizing, precursory information extracting, and early warning. 相似文献
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作为蓬勃发展的空间大地测量技术,InSAR和北斗/GNSS在地表形变监测中具有独特优势。应用两种手段开展综合测量,可充分利用其互补性,实现北斗/GNSS高时间分辨率与InSAR高空间分辨率的有机统一。本文首先介绍了InSAR与北斗/GNSS监测地表形变的基本原理,重点探讨了InSAR研究在20余年内的理论发展;其次综述了InSAR与北斗/GNSS技术集成及数据融合研究的最新进展;然后总结分析了当前地表形变监测应用所面临的关键问题及挑战;最后对InSAR与北斗/GNSS综合测量方法的发展趋势进行了展望。 相似文献
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《International Journal of Digital Earth》2013,6(5):522-538
ABSTRACTPermafrost is one of the largest elements of the terrestrial cryosphere and is extremely sensitive to climate change. Based on mean annual ground temperature (MAGT) data from 189 boreholes on the Qinghai–Tibet Plateau (QTP), terrain factors, and climate data from China Meteorological Forcing Dataset, we propose a new mean annual ground air temperature (MAGAT) statistical model between meteorological parameters with subsurface temperatures to simulate permafrost distribution and variation of MAGT on the QTP over the past three decades (1981–2010). Validation of the model with MAGT data from 13 boreholes and permafrost maps of the QTP indicated that the MAGAT model is applicable to simulate the distribution and evolution of permafrost on the QTP. Simulation results show that the spatiotemporal MAGT of permafrost significantly increased by 0.37°C, or 0.25°C/10 yr, and the total area of permafrost decreased by 2.48?×?105?km2 on the QTP over the past three decades. Regionally, the changes of permafrost in the southwestern QTP were greater than other regions of the QTP. 相似文献
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Kousik Biswas Debashish Chakravarty Pabitra Mitra Arundhati Misra 《Journal of the Indian Society of Remote Sensing》2017,45(6):913-926
Interferometric Synthetic Aperture Radar (InSAR), nowadays, is a precise technique for monitoring and detecting ground deformation at a millimetric level over large areas using multi-temporal SAR images. Persistent Scatterer Interferometric SAR (PSInSAR), an advanced version of InSAR, is an effective tool for measuring ground deformation using temporally stable reference points or persistent scatterers. We have applied both PSInSAR and Small Baseline Subset (SBAS) methods, based on the spatial correlation of interferometric phase, to estimate the ground deformation and time-series analysis. In this study, we select Las Vegas, Nevada, USA as our test area to detect the ground deformation along satellite line-of-sight (LOS) during November 1992–September 2000 using 44 C-band SAR images of the European Remote Sensing (ERS-1 and ERS-2) satellites. We observe the ground displacement rate of Las Vegas is in the range of ?19 to 8 mm/year in the same period. We also cross-compare PSInSAR and SBAS using mean LOS velocity and time-series. The comparison shows a correlation coefficient of 0.9467 in the case of mean LOS velocity. Along this study, we validate the ground deformation results from the satellite with the ground water depth of Las Vegas using time-series analysis, and the InSAR measurements show similar patterns with ground water data. 相似文献
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目前北斗卫星导航系统(BDS)、连续运行参考站系统(CORS)和合成孔径雷达干涉测量(InSAR)技术发展迅猛,前景广阔. 但是利用上述技术监测库区形变研究聚焦点是人工建筑,并未验证BDS的可用性,也未融合CORS技术的优势. 针对此问题,结合BDS和CORS高时间分辨率,InSAR高空间分辨率的优势,以龙羊峡库区为研究区域探索合适的结合监测方案. 研究结果表明:龙羊峡库区在研究时期内存在大面积的地表形变区,最大沉降速率52.48 mm/a;最大抬升速率43.60 mm/a;以全球卫星导航系统(GNSS)静态解算成果为参考值进行验证,BDS实时动态(RTK)差分监测成果的精度为7.1 mm,InSAR监测成果的精度为4.4 mm,均满足形变监测的精度要求;采用InSAR进行大面积形变区筛选,再结合CORS利用BDS进行重点区域实时动态差分监测的模式对水库全方位形变监测是可行的. 相似文献
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Fariba Mohammadimanesh Bahram Salehi Masoud Mahdianpari Jerry English Joseph Chamberland Pierre-Jean Alasset 《地理信息系统科学与遥感》2019,56(4):485-510
Permafrost-induced deformation of ground features is threating infrastructure in northern communities. An understanding of permafrost distribution is therefore critical for sustainable adaptation planning and infrastructure maintenance. Considering the large area underlain by permafrost in the Yukon Territory, there is a need for baseline information to characterize the permafrost in this region. In this study, the Differential Interferometric Synthetic Aperture Radar (DInSAR) technique was used to identify areas of ground movement likely caused by changes in permafrost. The DInSAR technique was applied to a series of repeat-pass C-band RADARSAT-2 observations collected in 2015 over the Village of Mayo, in central Yukon Territory, Canada. The conventional DInSAR technique demonstrated that ground deformation could be detected in this area, but the resulting deformation maps contained errors due to a loss of coherence from changes in vegetation and atmospheric phase delay. To address these limitations, the Small BAseline Subset (SBAS) InSAR technique was applied to reduce phase error, thus improving the deformation maps. To understand the relationship between the deformation maps and land cover types, an object-based Random Forest classification was developed to classify the study area into different land cover types. Integration of the InSAR results and the classification map revealed that the built-up class (e.g., airport) was affected by subsidence on the order of ?2 to ?4 cm. The spatial extent of the surface displacement map obtained using the SBAS InSAR technique was then correlated with the surficial geology map. This revealed that much of the main infrastructure in the Village of Mayo is underlain by interbedded glaciofluvial and glaciolacustrine sediments, the latter of which caused the most damage to human made structures. This study provides a method for permafrost monitoring that builds upon the synergistic use of the SBAS InSAR technique, object-based image analysis, and surficial geology data. 相似文献