应用SAR特征匹配方法估计音苏盖提冰川表面流速

喀喇昆仑山区冰川因位于高海拔地区且远离人类正常活动的区域,使得连续的表面流速的地面观测很难实施,因此,对该区域冰川运动机理研究相对比较少.采用日本高级陆地观测卫星携带的相控阵型 L 波段合成孔径雷达(Advanced Land Observing Satellite,Phase Array L-band Synthet...     

Extracting damages caused by the 2008 Ms 8.0 Wenchuan earthquake from SAR remote sensing data

Bad weather conditions usually limit the acquisition of optical remote sensing images, while all day and all weather synthetic aperture radar (SAR) shows the ability of providing timely remote sensing data for emergency response and rescue works after earthquake. Because SAR is sensitive to the surface changes caused by earthquake, the modified electromagnetic behaviour by geological disasters and the collapse of buildings can be recorded in SAR images as backscattering intensity changes. Absolute radiometric calibration was performed to SAR products to derive backscattering coefficient sigma nought from image digital number (DN). Based on change detection methods, Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) data and TerraSAR-X data acquired for the Ms 8.0 Wenchuan earthquake were used to extract earthquake damage information. This study revealed that landslides showed stronger backscattering and barrier lakes showed lower backscattering in post-earthquake 10 m ALOS PALSAR images comparing to pre-earthquake, and collapsed buildings showed lower backscattering compared to un-collapsed buildings in 1 m TerraSAR-X image. Results showed that SAR data with different spatial resolutions are useful for different earthquake damage information extraction: medium spatial resolution SAR data, e.g. 10 m ALOS PALSAR data, were efficient for secondary geological disaster extraction; high-resolution SAR data, e.g. 1 m TerraSAR-X data, with the help of ancillary GIS data or high-resolution optical data, could be used to extract building collapse information in urban areas. This study indicates that SAR remote sensing data can provide earthquake damage information at early emergency stage and assist the field surveying, further damage assessment and post-earthquake reconstruction.     

Monitoring of coal mining subsidence in peri-urban area of Zonguldak city (NW Turkey) with persistent scatterer interferometry using ALOS-PALSAR

This paper presents the results of spatiotemporal monitoring of surface subsidence over a mining area in Zonguldak Province of Turkey using Synthetic Aperture Radar (SAR) data, providing maps of subsidence rates in the radar line of sight direction. A total of 18 SAR images, acquired between January 2007 and June 2010 by the Japanese Advanced Land Observing Satellite, have been used to map the surface displacements using the Persistent Scatterer Interferometry technique. The use of Phased Array Type L-band Synthetic Aperture Radar data has proved useful for avoiding signal decorrelation and estimating surface deformation in the heavily vegetated study region. The technique enables the monitoring of continuous small displacements over a large area. Our findings present that many Persistent Scatterers were located on the vegetation cover. The results reveal areas of ground surface subsidence up to 44 mm/year that are well correlated with the underground coal mining galleries particularly in the Gelik region where the Karadon mining galleries are present.     

时序InSAR技术三峡库区藕塘滑坡稳定性监测与状态更新

坡体表面形变是表征坡体稳定性的重要信息,因此,非常有必要对滑坡多发区域进行时序常规变形监测.近年来,星载合成孔径雷达数据由于其覆盖范围大、形变监测精度高的特点,被越来越多的用于山区滑坡识别与探测.首先介绍了联合分布式目标与点目标的时序InSAR方法,并将该方法应用于分析覆盖三峡藕塘滑坡的2007年至2011年的19景ALOS PALSAR数据和2015年至2018年的47景Sentinel-1数据,提取了数据覆盖时间段内的藕塘地区的变形速率.发现相比于2007年至2011年,2015年至2018年新增三处不稳定斜坡.进一步对滑坡的时序变形分析表明,降雨和水位变化是坡体稳定性最大的两个影响因素.实验证明时序InSAR方法可以作为常规形变手段来识别与监测三峡库区等地区潜在的滑坡,为防灾减灾提供支持与依据.      

Complementing geotechnical slope stability and land movement analysis using satellite DInSAR

This paper explores the potential of using satellite radar inteferometry to monitor time-varying land movement prior to any visible tension crack signs. The idea was developed during dedicated geotechnical studies at a large open-pit lignite mine, where large slope movements (10–20 mm/day) were monitored and large fissures were observed in the immediate area outside the current pit limits. In this work, differential interferometry (DInSAR), using Synthetic Aperture Radar (SAR) ALOS images, was applied to monitor the progression of land movement that could potentially thwart mine operations. Early signs of land movements were captured by this technique well before their visual observation. Moreover, a qualitative comparison of DInSAR and ground geodetic measurements indicates that the technique can be used for the identification of high risk areas and, subsequently, for the optimization of the spatial distribution of the available ground monitoring equipment. Finally, quantitative land movement results from DInSAR are shown to be in accordance with simultaneous measurements obtained by ground means.     

Microwave D-InSAR technique for assessment of land subsidence in Kolkata city,India

An effective microwave Differential Interferometric Synthetic Aperture Radar (D-InSAR) technique was used to rapidly assess the potential land subsidence with high precision by exploiting the phase difference of two temporally separated SAR data in the region of Kolkata city, India. The objective of this study is to assess land subsidence using D-InSAR technique and to delineate the regions of land subsidence caused by over exploitation of groundwater by minimising the errors by applying topographic and atmospheric corrections. The study area forms a part of Indo-Gangetic plain. Three ENVISAT Advanced Synthetic Aperture Radar ?(ASAR) images of the years 2003, 2007 and 2010 were acquired to study the temporal evolution of land subsidence in the study area. The phase changes due to topography in the interferograms were removed by using Shuttle Radar Topography Mission (SRTM) degital elevation model data. Medium Spectral Resolution Imaging Spectrometer (MERIS) data were applied to remove the atmospheric noise in the interferogram. The deformation fringes were observed in the northern and central part of the study area where the land subsidence was 12 and 18 mm during the years of 2003–2007 and 2007–2010. The regional variation in the piezometric head compares well with the fringes of the interferogram. This confirms over extraction of groundwater is the main cause for land subsidence in this region. Hence, it is necessary to reduce groundwater pumping and to augment rainfall recharge in northern part of the study area.     

天山地区SAR数据雪盖制图研究

在分析合成孔径雷达（ＳＡＲ）成像机理及雪盖参数散射特性的基础上，利用航天飞机搭载的成像雷达（ＳＩＲ－Ｃ）获取的天山Ｃ波段、多极化ＳＡＲ数据，进行提取雪盖信息的实验。数据通过预处理、散射系数图像的计算、去噪、入射角改正等处理后，利用ＢＡＹＥＳ监督分类方法产生该地区的雪盖分类图。实验结果表明，利用多波段、多极化ＳＡＲ进行雪盖制图是可行的。     

基于InSAR技术的大同市云冈矿区地面沉降监测

大同市煤炭资源丰富,但煤矿开采活动造成的地面沉降等地质环境问题一定程度上制约着矿区发展。为监测大同市云冈矿区的地面沉降特征,基于哨兵-1A卫星数据,文章使用星载合成孔径雷达差分干涉测量技术(Differential Interferometric Synthetic Aperture Radar,D-InSAR)技术处理2020年6—7月的2景影像,初步获取矿区沉降区域特征,监测区最大沉降量达4.6 cm/36 d;采用小基线集差分干涉技术(Small Baseline Subset InSAR,SBAS-InSAR)处理2019年1月—2020年12月的24景影像,得到监测区部分沉陷区域的长时间序列形变量,该形变量与2020年1月—2020年9月的同地区25景影像数据永久散射体合成孔径雷达干涉测量(Persistent Scattered Interferometric Synthetic Aperture Radar,PS-InSAR)监测形变空间分布一致,形变趋势吻合。综合以上3种InSAR监测结果表明,监测区内存在多达12个明显快速沉降区,均分布于矿区内,其中最大沉降速率达180 mm/y,2019—2020年最大累积沉降量为333 mm,东南部城市区域没有明显形变迹象。研究结果为矿区沉降监测及合理开采提供科学依据。     

Ground subsidence in Semarang-Indonesia investigated by ALOS–PALSAR satellite SAR interferometry

The focus of this study is investigation of land subsidence in Semarang city Indonesia with the use of Interferometry Synthetic Aperture Radar (InSAR) of ALOS–PALSAR satellite. We processed 22 ascending SAR images during January 2007 to January 2009 plus two descending SAR images acquired on 6 June 2006 and 17 June 2007. The time series analysis of interferometry was performed by using 12 pairs of interferogram relative to 21 January 2007 and 8 pairs of interferogram relative 24 January 2008. The topographic phase contribution was removed using the 3-arcsec (90 m) Shuttle Radar Topography Mission (SRTM), Digital Elevation Model (DEM). We performed precision baseline estimation to vanish the fringes from baseline effect between master and slave data. In order to investigate the contribution of horizontal movement in our analysis, we constructed two interferograms of ascending orbit and descending orbit. The time series results exhibited that the area is subsiding continuously without a significant seasonal effect during January 2007 to January 2009. The land subsidence observed from InSAR data is approximately up to 8 cm/year. Three cross sections on image displacement show the extreme land subsidence occurred especially along the coastal area and lowland area where this area is considered as industrial with high-density settlements, consuming a lot of groundwater, and land is changed from agriculture and cultivation purposes to industrial estates and house. Our result also shows a consistency with historical pattern of subsidence measured by leveling data. The results highlight the potential use of InSAR measurements to provide better constraints for land subsidence in Semarang city Indonesia.     

Investigating a reservoir bank slope displacement history with multi-frequency satellite SAR data

Slope instability arisen along with dam construction is a common problem of great concern in reservoir areas. Thus, displacement monitoring of active slopes is of great importance for the safety of dam operation. The unstable Guobu slope is located only about 1.5 km away from Laxiwa hydropower station in upstream Yellow River. In this study, Synthetic Aperture Radar (SAR) datasets acquired by C-band Environmental Satellite (ENVISAT) Advanced Synthetic Aperture Radar (ASAR), L-band Advanced Land Observing Satellite 2 (ALOS-2) Phased Array type L-band Synthetic Aperture Radar 2 (PALSAR-2), and X-band TerraSAR-X covering different evolution stages of Guobu slope were collected to investigate the displacement history so as to facilitate understanding of its deformation and failure mechanisms. The displacements occurred during the past decade were quantitatively identified for the first time by SAR pixel offset tracking analyses. The results show that before the reservoir impoundment, the maximum accumulative displacements on the slope were more than 7 m from 2003 to 2008, while the post-impoundment displacements also exceeded 7 m in just 1 year from September 2009 to September 2010. Furthermore, this slope is still in active deformation up to now. Nevertheless, the displacement rates seem decreased recently according to the interferometric results of TerraSAR-X data pairs from September 2015 to March 2016.     

INSAR技术在北京来广营地区地面沉降监测中的应用

北京市平原地区地面沉降危害日益显著,合成孔径雷达干涉测量（InSAR）具有快速、高精度、周期短等优势,可为城市地面沉降监测提供有效的技术手段。本文选用ENVISAT-1卫星SAR数据监测研究2004-2005年北京来广营地区地面沉降,利用InSAR差分技术得到该地区地面沉降监测结果。     

多源遥感数据反演土壤水分方法

基于ASAR-APP影像数据和光学影像数据,根据水云模型研究了小麦覆盖下地表土壤含水量的反演方法。利用TM和MODIS影像构建的植被生物、物理参数与实测小麦含水量进行回归分析,发现TM影像提取的归一化水分指数(NDWI)反演精度较好,相关系数达到0.87。根据这一关系,结合水云模型并联立裸露地表土壤湿度反演模型,建立了基于多源遥感数据的土壤含水量反演模型和参数统一求解方案。反演结果表明:该方案可得到理想的土壤水分反演精度,并可控制参数估计的误差。反演土壤含水量和准同步实测数据的相关系数为0.9,均方根误差为3.83%。在此基础上,分析了模型参数的敏感性,并制作了研究区土壤缺水量分布图。     

Measuring precursory movements of the recent Xinmo landslide in Mao County,China with Sentinel-1 and ALOS-2 PALSAR-2 datasets

The Xinmo landslide occurred in the early morning of 24 June 2017 at about 5:38 am local time. This catastrophic event caused enormous casualties and huge economic losses in Xinmo Village, Mao County, Sichuan Province, China. In this study, Synthetic Aperture Radar (SAR) datasets acquired by X-band TerraSAR-X, Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) aboard the Advanced Land Observing Satellite-2 (ALOS-2), and C-band Sentinel-1 over the disaster area were collected and analyzed to characterize this landslide. The high-resolution TerraSAR-X intensity images were used to evaluate the landslide disaster and delineate the sliding area. Afterwards, two ALOS-2 PALSAR-2 image pairs and a stack of 45 Sentinel-1 images were processed to detect precursory movements of the landslide surface, using the conventional differential InSAR (DInSAR) method and advanced time series InSAR analysis. The unstable source area near the ridge was identified from the displacement rate map derived from Sentinel-1 datasets. The maximum displacement rate detected at the source area was ?35mm/year along the radar line of sight (LOS) direction. The time series of LOS displacements over 2 years presents an easily discerned seasonal evolution pattern. In particular, a sudden acceleration of the displacement, dozens of days before the collapse was clearly captured by the Sentinel-1 observations, which might suggest that early warning of landslide disasters is possible given the availability of operational SAR data acquired in frequent repeat-pass mode, such as the Sentinel-1 twin-satellite constellation.     

新技术在城市地面沉降研究中的应用：遥感卫星雷达干涉测量（InSAR）

本文综述了遥感卫星合成孔径雷达（SAR）干涉测量及差分干涉测量的基本原理，针对近年来国外InSAR在地面沉降方面的研究成果，重点讨论了D－InSAR在国内大中城市进行地面沉降监测应用的可能性，对SAR数据的获取方法进行了阐述，并对这种方法目前的进展及未来应用前景进行了探讨。     

Geological mapping of Santorini Volcanic island (Greece), with the combined use of Pleiades 1A and ENVISAT satellite images

Very high-resolution (VHR) Pleiades 1A and ENVISAT/ASAR (Advanced Synthetic Aperture Radar) satellite images were used for lithological and tectonic mapping respectively of Santorini island complex, South Aegean, Greece. The results were compared to the existing geological maps of the study area. The extracted, quantitative results within GIS environment, followed by a ground-truth visit, showed that there is some variance in the delineation of the boundaries of certain lithological units on the geological map compared to those on the Pleiades 1A image and that a number of lineaments detected on the ENVISAT image could be incorporated to the faults’ population. As a general conclusion, new findings can be embodied to the existing geological maps.     

Ground motion phenomena in Caltanissetta (Italy) investigated by InSAR and geological data integration

Urban areas are frequently affected by ground instabilities of various origins. The location of urban zones affected by ground instability phenomena is crucially important for hazard mitigation policies. Satellite-based Interferometric Synthetic Aperture Radar (InSAR) has demonstrated its remarkable capability to detect and quantify ground and building motion in urban areas, especially since the development of Advanced Differential Interferometric SAR techniques (A-DInSAR). In fact, the high density of reflectors like buildings and infrastructures in urban areas improves the quality of the InSAR signal, allowing sub-centimetric displacements to be reliably detected. The A-DInSAR techniques allow urban zones affected by ground deformation to be located and mapped, but clearly they are not able to point out the causes of the instability phenomena. These can only be highlighted by an integrated analysis of multidisciplinary data, like geological, geotechnical, SAR interferometric and historical data. The overlay of these data, which is possible within a Geographic Information System (GIS), is a useful tool to identify ground motion phenomena affecting urban zones. In this study we apply this kind of approach to Caltanissetta, a provincial capital in Sicily (Italy), where local damage has been detected. The reconstruction of the local near-surface geology shows the presence of zones affected by local natural hazard factors, essentially due to the local presence of soils with poor mechanical properties or swelling soils, high topographic gradients and steep slopes on loose soils. Processing 17 ASAR-ENVISAT SAR images covering the time interval October 2002–December 2005 by means of an A-DInSAR procedure, the Caltanissetta deformation map has been realized. It shows that most of the city is stable, with the exception of three zones, situated in the northwestern, northeastern and southern parts of the city, respectively. Two of them, characterized by high topographic gradients and steep slopes on sandy soils, are affected by subsidence ground motion. An uplift motion is recognized in the other zone, characterized by the local presence of expansible clays. Geotechnical swelling tests carried out on them have shown a swelling behavior. On site surveys have highlighted the presence of damage in the zones affected by ground motion.     

InSAR技术及其在沧州地面沉降监测中的应用

随着城市建设的飞速发展,地面沉降危害日益显著,常规的测量方法尽管精度高,但是成本高、采样精度低、测量时间周期长,已经无法满足当今社会的要求。合成孔径雷达干涉测量(InSAR)已成为测量地球表面变化极具潜力的技术,它可以大面积的采样、测量时间短,同时成本也很低。沧州地区至2001年沉降中心累计沉降量已达2236mm。文中介绍用合成孔径雷达干涉测量进行沧州地区地面沉降监测的试验,最后利用InSAR的差分技术得到的沧州地区的地面沉降监测结果,并据此得到一些初步认识。     

Investigating slow-moving landslides in the Zhouqu region of China using InSAR time series

In the Zhouqu region (Gansu, China), landslide distribution and activity exploits geological weaknesses in the fault-controlled belt of low-grade metamorphic rocks of the Bailong valley and severely impacts lives and livelihoods in this region. Landslides reactivated by the Wenchuan 2008 earthquake and debris flows triggered by rainfall, such as the 2010 Zhouqu debris flow, have caused more than 1700 casualties and estimated economic losses of some US$0.4 billion. Earthflows presently cover some 79% of the total landslide area and have exerted a strong influence on landscape dynamics and evolution in this region. In this study, we use multi-temporal Advanced Land Observing Satellite and Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) data and time series interferometric synthetic aperture radar to investigate slow-moving landslides in a mountainous region with steep topography for the period December 2007–August 2010 using the Small Baseline Subsets (SBAS) technique. This enabled the identification of 11 active earthflows, 19 active landslides with deformation rates exceeding 100 mm/year and 20 new instabilities added into the pre-existing landslide inventory map. The activity of these earthflows and landslides exhibits seasonal variations and accelerated deformation following the Wenchuan earthquake. Time series analysis of the Suoertou earthflow reveals that seasonal velocity changes are characterized by comparatively rapid acceleration and gradual deceleration with distinct kinematic zones with different mean velocities, although velocity changes appear to occur synchronously along the landslide body over seasonal timescales. The observations suggest that the post-seismic effects (acceleration period) on landslide deformation last some 6–7 months.     

Modelling of piping collapses and gully headcut landforms:Evaluating topographic variables from different types of DEM

The geomorphic studies are extremely dependent on the quality and spatial resolution of digital elevation model(DEM)data.The unique terrain characteristics of a particular landscape are derived from DEM,which are responsible for initiation and development of ephemeral gullies.As the topographic features of an area significantly influences on the erosive power of the water flow,it is an important task the extraction of terrain features from DEM to properly research gully erosion.Alongside,topography is highly correlated with other geo-environmental factors i.e.geology,climate,soil types,vegetation density and floristic composition,runoff generation,which ultimately influences on gully occurrences.Therefore,terrain morphometric attributes derived from DEM data are used in spatial prediction of gully erosion susceptibility(GES)mapping.In this study,remote sensing-Geographic information system(GIS)tech-niques coupled with machine learning(ML)methods has been used for GES mapping in the parts of Semnan province,Iran.Current research focuses on the comparison of predicted GES result by using three types of DEM i.e.Advanced Land Observation satellite(ALOS),ALOS World 3D-30 m(AW3D30)and Advanced Space borne Thermal Emission and Reflection Radiometer(ASTER)in different resolutions.For further progress of our research work,here we have used thirteen suitable geo-environmental gully erosion conditioning factors(GECFs)based on the multi-collinearity analysis.ML methods of conditional inference forests(Cforest),Cubist model and Elastic net model have been chosen for modelling GES accordingly.Variable's importance of GECFs was measured through sensitivity analysis and result show that elevation is the most important factor for occurrences of gullies in the three aforementioned ML methods(Cforest=21.4,Cubist=19.65 and Elastic net=17.08),followed by lithology and slope.Validation of the model's result was performed through area under curve(AUC)and other statistical indices.The validation result of AUC has shown that Cforest is the most appropriate model for predicting the GES assessment in three different DEMs(AUC value of Cforest in ALOS DEM is 0.994,AW3D30 DEM is 0.989 and ASTER DEM is 0.982)used in this study,followed by elastic net and cubist model.The output result of GES maps will be used by decision-makers for sustainable development of degraded land in this study area.