Review on InSAR based displacement monitoring of Indian Himalayas: issues,challenges and possible advanced alternatives

Natural and man-made disasters like earthquakes, landslides, avalanches, unplanned mining are some of the most serious factors responsible for earth surface displacement. These incidences can be harmful for the society due to loss of life and also threatful for future urban development. Therefore, continuous monitoring of disasters in terms of displacements is of fundamental importance in a modern well-organized society to understand its effects on the social and economic fabric. Availability of SAR data has been proved to be an excellent source for estimation of surface displacements with high accuracies. However, in India, SAR interferometry-related displacement measurement has still not gained appreciable momentum. More rigorous research needs to be carried out for the efficient use of this new generation technique. This review article is an attempt to discuss the issues related to SAR-based displacement studies so far conducted on Indian Himalayan region and possible advanced alternatives.     

地质灾害监测预警中的精密空间对地观测技术

21世纪以来,随着世界环境恶化和人类活动剧烈,地质灾害呈现频发态势,精密对地观测技术成为其监测预警的重要手段。本文首先介绍了常见地质灾害特点和监测方法,并对InSAR、LiDAR、高分遥感和GNSS 4种技术在地质灾害监测预警中的技术特点及应用进行了阐述,其次对高精度空间监测技术融合进行了综述和展望,最后对未来地质灾害监测预警技术趋势进行了总结。     

Deriving 3D coseismic deformation field by combining GPS and InSAR data based on the elastic dislocation model

The density of GPS measurements is usually one of the key issues in resolving 3-D coseismic deformation field from integrating GPS and Interferometric Synthetic Aperture Radar (InSAR) measurements with pure mathematic interpolation methods An approach that combines the elastic dislocation model with the Best Quadratic Unbiased Estimator (BQUE) or a robust estimation method named IGG (Institute of Geodesy and Geophysics) is proposed to reconstruct 3-D coseismic deformation field, in which only a small amount of GPS data is needed to produce a reasonable initial 3-D coseismic deformation. Then the BQUE and IGG are used to weight the InSAR and GPS measurements to avoid computational issues caused by the negative variance problem and to decrease the impact from gross errors. The Wenchuan earthquake is used to test the proposed method. We find that the developed method makes it possible to use only a few GPSs and InSAR data to recover the 3-D coseismic deformation field, which offers extensive future usage for measuring earthquake deformation, particularly in some tectonically active regions with sparse GPS measurements.     

From ERS-1/2 to Sentinel-1: two decades of subsidence monitored through A-DInSAR techniques in the Ravenna area (Italy)

Land subsidence due to underground resources exploitation is a well-known problem that affects many cities in the world, especially the ones located along the coastal areas where the combined effect of subsidence and sea level rise increases the flooding risk. In this study, 25 years of land subsidence affecting the Municipality of Ravenna (Italy) are monitored using Advanced Differential Interferometric Synthetic Aperture Radar (A-DInSAR) techniques. In particular, the exploitation of the new Sentinel-1A SAR data allowed us to extend the monitoring period till 2016, giving a better understanding of the temporal evolution of the phenomenon in the area. Two statistical approaches are applied to fully exploit the informative potential of the A-DInSAR results in a fast and systematic way. Thanks to the applied analyses, we described the behavior of the subsidence during the monitored period along with the relationship between the occurrence of the displacement and its main driving factors.     

The application of satellite differential SAR interferometry-derived ground displacements in hydrogeology

The application of satellite differential synthetic aperture radar (SAR) interferometry, principally coherent (InSAR) and to a lesser extent, persistent-scatterer (PSI) techniques to hydrogeologic studies has improved capabilities to map, monitor, analyze, and simulate groundwater flow, aquifer-system compaction and land subsidence. A number of investigations over the previous decade show how the spatially detailed images of ground displacements measured with InSAR have advanced hydrogeologic understanding, especially when a time series of images is used in conjunction with histories of changes in water levels and management practices. Important advances include: (1) identifying structural or lithostratigraphic boundaries (e.g. faults or transitional facies) of groundwater flow and deformation; (2) defining the material and hydraulic heterogeneity of deforming aquifer-systems; (3) estimating system properties (e.g. storage coefficients and hydraulic conductivities); and (4) constraining numerical models of groundwater flow, aquifer-system compaction, and land subsidence. As a component of an integrated approach to hydrogeologic monitoring and characterization of unconsolidated alluvial groundwater basins differential SAR interferometry contributes unique information that can facilitate improved management of groundwater resources. Future satellite SAR missions specifically designed for differential interferometry will enhance these contributions.     

InSAR电离层校正中的平滑处理探究

针对距离向频谱分割法（range split-spectrum,RSS）进行InSAR电离层校正中多视视数和滤波窗口尺寸两种平滑处理参数选择较为主观的问题,采用国际参考电离层（international reference ionosphere,IRI）模型,通过目视对比和统计分析来评价RSS与IRI的相似性,并综合电离层分布特点为RSS平滑参数的选取提供一种相对客观的方法。最终为两对ALOS-2 PALSAR条带数据选取32×16的多视视数和600像素尺寸的滤波窗口,取得较好的InSAR电离层校正结果,验证了以IRI模型作为参考选取RSS平滑参数在无地表形变区域和缓慢地表形变区的可行性。     

菲律宾棉兰老岛2019年4次MW>6.0地震断层运动模型及库仑应力传输研究

基于雷达干涉测量技术,利用ALOS-2、Sentinel-1卫星升降轨雷达影像,获得2019-10~12发生在菲律宾棉兰老岛的4次M_W>6.0地震的同震形变场,并以此形变结果为约束,反演得到4次地震的断层运动模型。综合分析发现,此次地震序列由3条断裂的破裂引起,其中2019-10-16和2019-10-31的2次地震为同一发震断裂,2019-10-31地震断层破裂区域位于2019-10-16地震断层破裂的东北延伸段,最大滑动量约为1.1 m,约为2019-10-16地震最大滑动量的2倍。2019-10-29地震由一条独立断层破裂引起,断层最大滑动量约为2.0 m。2019-12-15地震由一条东北向倾斜断层破裂引起,断层最大滑动量约为3.0 m。此外,2019-10-16地震引起2019-10-29地震显著滑动区明显的正向库仑应力传输;而2019-10-29地震显著增加了2019-10-31地震震源区域的库仑应力;前3次地震对2019-12-15地震孕震断层的库仑应力传输总和为负值,说明静态库仑应力传输可能不是此次地震触发的主要诱因。     

基于Sentinel-1A的2021年双湖MW5.7地震同震破裂模型

利用Sentinel-1A SAR数据提取2021年西藏双湖县M_W5.7地震同震形变场及2.5D形变场,反演断层滑动分布模型。计算不同节面解为接收断层产生的库仑应力变化差异确定发震构造,并结合余震分布信息评估未来地震风险性。结果表明,地震震中为34.37°N、87.71°E,震源深度6.51 km,发震断层倾向东、走向33°、倾角50°、平均滑动角-74°,以倾滑为主兼有少量左旋走滑分量,最大滑动量0.26 m。短时间内,震区南部地震风险较小,北部则需要结合更多资料进一步分析。本次地震是在羌塘块体持续向东扩张的背景下,受EW向拉伸作用使得黄水湖正断层发生的一次弥散型变形活动,SN向地堑得到进一步扩张。     

青海门源MS6.9地震震前OLR异常与InSAR同震形变关联性分析

对比分析利用涡度距平法提出的2022年1月8日青海门源 M_S6.9 地震震前射出长波辐射(OLR)短期异常分布和震后InSAR技术提取的门源地震同震形变空间分布,结果显示,震前红外辐射增强区与InSAR同震破裂形变区的空间位置基本吻合,扩展形式基本相似(同震破裂形变区分布在红外辐射异常区内部)。在震前的全国范围OLR空间分布上,仅青海德令哈—西宁—甘肃武威一带出现了呈“哑铃”状近WE向展布的OLR热辐射增强区,空间可辨识度高,OLR异常时空演化过程遵循了岩石应力加载破裂过程中的热异常规律,显示热异常变化与应力变化存在关联; InSAR技术提取的同震形变同样位于肃南—祁连断裂(俄堡段)、托莱山断裂和冷龙岭断裂的交汇区。InSAR同震形变结果揭示了地表形变以水平方向为主,断层运动具有典型的走滑变形特征。InSAR同震形变结果为红外遥感反映地震形变提供可检验的地质实体监测证据,验证了门源地震前辐射增强异常是地震构造地应力强度变化的遥感物理参量反映。     

2008年10月西藏当雄MW6.3地震震后形变提取与余滑反演

2008年10月6日西藏当雄发生M_W6.3地震.本文利用震后2008年10月26日至2010年8月22日的16期ENVISAT ASAR数据,通过小基线集干涉测量、误差校正与MInTS（Multiscale InSAR Time Series）技术提取高精度的震后形变场,利用SDM（Steepest Descent Method）方法反演断层震后余滑演化过程,并分析震后余滑与同震滑动的关系.结果表明：当雄M_W6.3地震的近场震后形变场主要位于断层西侧,在时间演化上具有明显的对数函数衰减规律;震后余滑主要集中于断层中南段深0~15 km区间,最大的余滑量约0.07 m,位于断层深约9.28 km处,滑动角约-103°;震后余滑引起的地震矩能量M₀与矩震级M_W在时间演化上具有指数函数递增规律;当剪切模量μ=32 GPa,震后665天余滑释放的地震矩能量约为1.92×10¹⁷N·m,约占同震滑动释放地震矩的4.8%,相当于矩震级M_W5.46;虽然震后余滑已经延伸到断层浅部0~5 km区间,但由于余滑量相对较小,没有改变同震滑动在断层浅部区域的滑动亏损现象,这可能是2010年11月30日该区域又发生M_W5.3级余震的主要原因之一.