基于PSI技术的芜湖市地面沉降时空特征分析

城市的沉降监测有利于了解区域实时高程,可为地质灾害与防护部门提供数据依据,避免因高程损失而带来的地质灾害。基于2016年1月至2017年12月共22景Sentinel-1A干涉宽幅模式影像数据,利用永久散射体合成孔径雷达干涉测量技术以及合成孔径雷达差分干涉测量技术进行芜湖市地表形变监测,并分析研究区地面沉降的时空分布特征。空间上,阐述芜湖市地面沉降的整体格局,再以道路为专题,分析了道路的沉降分布格局。时间上,以时间为基线,逐月分析地面沉降部分在年内的具体变化。结果表明:空间上,芜湖市地面沉降主要集中在长江以东的范围,呈现出由西向东逐渐增加的趋势,长江以西呈现零星漏斗式沉降分布,其中,沉降累积量也与道路的密度与建设相关,道路汇集区与修建区域的沉降累积量较大;时间上,研究区整体沉降量各月变化较均匀,其中,沉降量变化范围在6月最大,10月与11月最小。     

基于PSI技术的芜湖市地面沉降时空特征分析

城市的沉降监测有利于了解区域实时高程，可为地质灾害与防护部门提供数据依据，避免因高程损失而带来的地质灾害。基于2016年1月至2017年12月共22景Sentinel-1A干涉宽幅模式影像数据，利用永久散射体合成孔径雷达干涉测量技术以及合成孔径雷达差分干涉测量技术进行芜湖市地表形变监测，并分析研究区地面沉降的时空分布特征。空间上，阐述芜湖市地面沉降的整体格局，再以道路为专题，分析了道路的沉降分布格局。时间上，以时间为基线，逐月分析地面沉降部分在年内的具体变化。结果表明：空间上，芜湖市地面沉降主要集中在长江以东的范围，呈现出由西向东逐渐增加的趋势，长江以西呈现零星漏斗式沉降分布，其中，沉降累积量也与道路的密度与建设相关，道路汇集区与修建区域的沉降累积量较大；时间上，研究区整体沉降量各月变化较均匀，其中，沉降量变化范围在6月最大，10月与11月最小。     

北京城区地表沉降监测与时空演化特征分析

地表沉降是我国平原地区的主要地质灾害,已经成为制约我国社会、经济可持续发展的重要灾种之一,是地理国情监测的重要监测内容之一。北京市作为我国首都,是拥有2000多万人口的特大型都市,城区人口密集,地下交通与市政管网发达,是重要的全国铁路公路交通枢纽,因此积极开展该地区地表沉降监测的研究与应用对城市的发展与安全具有重大意义。该文应用合成孔径雷达差分干涉测量DInSAR新技术之一的短基线集法,获取北京城区地表沉降的范围、时间序列累积沉降量和年平均形变速率等信息,针对监测结果进行了形变中心时空演化特征、影响因素的分析,为城市规划制定、国土资源开发及大型工程建设等提供参考依据,为政府部门掌握区域地面沉降的空间分布及变化规律、制定科学有效的沉降防控措施具有重要意义。     

北京平原区地面沉降PS-InSAR监测

地面沉降是北京平原区的主要地质灾害之一。针对地下水长期超量开采引发的大范围地面沉降,采用雷达遥感的技术方法对其进行监测分析:以2003~2010年间覆盖北京的31景ENVISAT ASAR数据为基础,采用永久散射体干涉测量技术对北京市平原区进行长时间序列的地面沉降监测,并对比地下水水位变化数据,通过GIS空间分析的方法讨论地面沉降的时空演化特征。结果表明:2003~2010年,北京市平原区地表形变速率范围为-52.1~8.2mm/yr,已经形成五大沉降漏斗(朝阳—通州沉降漏斗、天竺—金盏沉降漏斗、来广营沉降漏斗、高丽营沉降漏斗和昌平沉降漏斗),地面沉降发生区域与地下水漏斗形成区域基本一致。     

DInSAR沉降监测技术在铁路勘察设计中的应用

针对当前铁路勘察设计中面临铁路沿线地表区域历史沉降监测资料缺失、调查困难的问题,该文引入了合成孔径雷达差分干涉测量(DInSAR)技术对铁路勘察设计阶段区域沉降进行监测;结合铁路勘察设计对地表区域沉降需求特点,采用常规差分DInSAR和小基线集(SBAS)技术方案对铁路沿线进行区域沉降监测,并基于不同方案开展了相应实验。实验表明:利用常规差分干涉测量和基于时序的差分干涉测量方法,能够有效地监测到铁路沿线的地表区域沉降范围、沉降量和沉降速率,基于时序的差分干涉测量能够提供更加准确的监测结果,为铁路方案稳定性提供准确的区域沉降资料。     

COSMO-SkyMed数据在常州市地表形变监测中的应用

小基线集合成孔径雷达干涉测量技术(SBAS-InSAR)已成功应用于城市地表形变监测,并表现出极大的潜力和优势。X波段高分辨率雷达卫星在地表微小形变探测方面较C波段和L波段更为敏感。选取覆盖常州地区COSMO-SkyMed高分辨率SAR影像,采用SBAS-InSAR方法获得了地表形变时间序列,对比水准观测数据,分析了干涉测量结果的精度,根据历史地下水位监测数据,分析了地下水水位变化对地表形变的影响。结果表明:干涉测量结果与水准观测数据具有很好的一致性,沉降区域主要发生在武进区,最大沉降量超过-40mm,主城区出现了轻微的回弹现象,回弹达到+5mm;地下水水位持续上升与地面沉降减缓、地面回弹趋势一致,地下水水位变化仍然是常州市地表形变的主要影响因素。     

基于Sentinel-1A数据的天津地区PS-InSAR地面沉降监测与分析

为有效预防地面沉降带来的灾害,利用2015年4月~2018年2月天津地区的24景Sentinel-1A数据,进行了永久散射体干涉测量处理,并使用高精度轨道数据和TanDEM-X DEM修正残差相位,提取了3 a的地面沉降结果,结合土地利用类型、水文、地质和交通等数据,分析了多处沉降地区的特征和形成原因,最后和小基线集方法的监测结果进行对比分析。结果表明:近3 a来天津城区沉降治理效果显著,平均沉降速率在8 mm/a以内,郊区沉降仍然严重,沉降速率在50~70 mm/a,沉降最为严重的区域为武清区王庆坨镇,3 a累计沉降量超过200 mm,并且有和其他沉降漏斗连成片的趋势。地面沉降发生的区域与地下水漏斗形成的区域基本一致,且两种方法得到的累积形变量差值95%在5 mm以内,说明本研究结果可以为天津市地质灾害防治提供数据支撑和决策依据。     

基于PS-InSAR的天津地区沉降监测及分析

城市地面沉降监测是保障城市安全建设和健康发展的重要手段之一,而传统的沉降监测方法无法大尺度反映地面形变信息。针对近几年天津地区出现大面积沉降现象,利用Sentinel-1A数据基于永久散射体干涉测量技术开展城区大范围沉降监测研究并分析了地面沉降原因。结果表明：近年来天津地区多处出现地面沉降,严重沉降区集中天津的武清区、北辰区以及郊区乡镇结合区域的王庆坨镇、胜芳镇、左各庄镇、静海镇以及大寺镇,其最大沉降漏斗位于王庆坨镇,沉降速率为-63.2 mm/a。经分析发现天津地面沉降与地下水过度开采、大型工业区的迁移和建设以及活动断裂带地质活动有关。     

基于PS-InSAR的天津地区沉降监测及分析

城市地面沉降监测是保障城市安全建设和健康发展的重要手段之一，而传统的沉降监测方法无法大尺度反映地面形变信息。针对近几年天津地区出现大面积沉降现象，利用Sentinel-1A数据基于永久散射体干涉测量技术开展城区大范围沉降监测研究并分析了地面沉降原因。结果表明：近年来天津地区多处出现地面沉降，严重沉降区集中天津的武清区、北辰区以及郊区乡镇结合区域的王庆坨镇、胜芳镇、左各庄镇、静海镇以及大寺镇,其最大沉降漏斗位于王庆坨镇，沉降速率为-63.2 mm/a。经分析发现天津地面沉降与地下水过度开采、大型工业区的迁移和建设以及活动断裂带地质活动有关。     

北京市典型地区地面沉降空间格局分析

针对区域地面沉降空间演化格局分析较少问题,选用小基线雷达干涉测量技术(SBAS-InSAR)获取了北京典型地区的地面沉降数据,并利用全局Moran′s I和局部Moran′s I指数对研究区地面沉降格局特征进行分析。结果表明,研究区地面沉降速率最大值为-110mm/a,中部、东南部沉降严重,其他地区相对轻微;该区域地面沉降全局空间自相关十分显著,全局Moran′s I指数达到了0.8(p=0.001),局部空间格局包括3个亚区,分别是高集聚区、低集聚区以及非相关区;热点分析结果表明地面沉降存在过渡带,过渡带不仅是地面沉降的未来发展方向,同时还存在不均匀地面沉降,是未来地面沉降防治的重点关注区域。     

基于SBAS-InSAR技术的围填海区域地面沉降监测

以围填海活动为代表的沿海快速城市化过程,是引起地面沉降的重要影响因素之一。研究聚焦沿海围填海活动热点区域广州市南沙区,使用2015年6月~2018年4月共34景Sentinel-1数据,应用SBAS-InSAR技术,揭示了南沙区在研究时段内地面沉降的时空变化格局及演变特征。结果表明：①南沙区整体呈现持续沉降的趋势,沉降速率分化严重,平均沉降速率达到3.2 mm/a,圈层分析法显示中心圈层平均沉降速率为2.6 mm/a,最外层平均沉降速率为26.8 mm/a;②该区地面沉降在空间上呈现出异质性,主要分布在东部和南部,其中南部万顷沙、龙穴岛地面沉降最为严重,最大年沉降速率达到72.2 mm/a,在2015年6月~9月还出现地面沉降回弹现象,可能是台风天气带来季节性强降水变化影响。③基于不同极化方式的Sentinel-1数据进行交叉验证,VV极化、VH极化监测结果平均值分别为2.09 mm和1.01 mm,均方根误差分别为1.12 mm和2.65 mm。结果表明：SBAS-InSAR技术在提取围填海区域的地面沉降信息方面是有效可靠的,能更好地为监测沿海地区的地面沉降情况提供科学依据。     

基于NPSI方法的西安市地裂缝灾害链地表形变监测与演化态势分析

受构造背景、地下水采掘、活断层等因素的综合作用,西安市地裂缝于近年间不断加剧,引发多处不均匀地表沉降,并演化为对地表及地下建筑物均有强烈破坏作用的城市地质灾害链。为探明西安市地裂缝灾害链区域近年间的地表沉降态势、辨析不均匀沉降与地裂缝发育的联系,引入在城市地表形变监测精度和可靠性方面具有显著优势的网络化永久散射体时序雷达干涉测量（NPSI）方法,以2017年3月至2018年3月间成像的15期Sentinel-1A卫星SAR影像为数据源针对西安地区开展了时序监测分析,结合水准测量数据验证发现NPSI监测结果的精度达到 ±4.75 mm。实验结果表明：西安市地裂缝正向西南郊发育,地下水采掘及地上地下工程的建设在地裂缝发育趋势下加剧了不均匀沉降灾害,在形成地裂缝灾害链的鱼化寨、电子城、曲江新区以及地铁3号线等危害严重区域需要实时监测地裂缝发育趋势,并合理规划地下水开采及工程建设活动。相关研究结果可为路政、城建等部门的业务工作及相关研究提供参考信息。     

An analysis of land use/cover change in Indonesia

The phenomena of land use/ change were evaluated by using a remote sensing approach in a case study in Yogyakarta, Indonesia. The index of changes, which was calculated by the superimposition of land use/ images of 1972, 1984, and land use maps of 1990, were introduced to analyse the pattern of change in the area. The results demonstrated that the pattern of land use/ change in the study area was that of paddy coverage to open/ land to settlement. The annual growth ratios of new settlements to absorb paddy coverage, mixed vegetation, and open/ land were 16 per cent, 20 per cent, and 64 per cent respectively. The larger the percentage of the paddy coverage, the higher the tendency for settlement growth to absorb the paddy coverage, and the larger the percentage of open/ land, the higher the tendency for settlement growth to absorb open/ land. Settlement growth had a high correlation with road accessibility. The highest settlement growth was distributed mostly in suburban areas between 200 and 400 m from secondary roads. Without intelligent intervention by the government and public awareness, the loss of these agricultural land cannot be stopped and will jeopardize the local and regional economy.     

基于PS-InSAR技术的廊坊市地面沉降监测研究

随着城市化进程的加速发展,地面沉降危害不断加剧。以廊坊市城区为示范研究区,选取近5 a的ENVISat卫星ASAR数据,采用永久散射体干涉测量(PS-InSAR)技术,提取廊坊市城区2003~2007年时间序列地面沉降形变信息,并对廊坊市地面沉降空间分布特征进行初步分析。研究结果表明:廊坊市城区年平均沉降速率在-19.2~18.7mm/a之间变化,沉降中心主要分布在城区北部地区,对城市基础设施及施工建设产生严重影响。     

Characterization and causes of land subsidence in Beijing,China

Long-term overexploitation of groundwater is the primary factor causing regional land subsidence in the Beijing plain area, China. Currently, large subsidence funnels exist, one each in southern and northern Beijing. We adopted the multi-temporal interferometric synthetic aperture radar (MT-InSAR) method, incorporating both persistent scatterer (PS) and small baseline (SB) approaches on 47 Envisat Advanced Synthetic Aperture Radar (ASAR) single look complex (SLC) images to map land subsidence in the Beijing plain area. The temporal and spatial variations of land subsidence and its seasonal variation were explained by the MT-InSAR results. Then, the InSAR results were combined with the dynamic monitoring of groundwater level, extensometer measurements, and hydrogeological data; the characterization and causes of land subsidence were analysed with Geographic Information System (GIS) spatial analysis methods. The results show the following. 1) Land subsidence developed rapidly in the Beijing plain area from 2003 to 2010, with obviously uneven settlement; settlement rates exceeded 100 mm year^?1 in some areas. Seasonal variation in settlement rates may be affected by changes in the precipitation rates and the exploitation of groundwater. 2) The contribution of different aquifer systems to land subsidence varies. The variation in the groundwater level in the second confined aquifer, at a depth of 100–180 m, has the greatest impact on land subsidence. 3) The settlement is centred in the lower part of the Wenyu–Chaobai and Yongding alluvial fan areas, where the compressible layer is more than 100 m thick. Meanwhile, land subsidence forms a structural feature with larger differences in the deformation gradient on both sides of faults.     

Episodic ground deformation signals in Thessaly Plain (Greece) revealed by data mining of SAR interferometry time series

The Eastern Thessaly Plain presents an area of severe settlement phenomena, owing to the over-exploitation of the underground aquifer systems, causing significant damages to national infrastructures and private properties annually. Herein, both Persistent Scatterers (PS) and Small Baselines (SB) interferometric techniques were applied to study the history of ground deformation along the entire plain. Although the area consisted mostly of agricultural land, a sufficient number of point targets was obtained, well-distributed over the entire plain, permitting the recognition of spatial variations of the displacement field in addition to temporal trends. Our findings outline the southern part of the basin as the mostly affected area, whereas local subsidence patterns of lower magnitude were also recognized elsewhere. Episodes of significant ground subsidence, reaching several centimetres within a few months, characterize the deformation pattern of the area. Although average ground deformation rates do not exceed 2 cm year^?1, line-of-sight (LOS) displacements of up to 13 cm were observed, occurring during the summer–autumn periods. A geographic information system (GIS)-based post-processing approach for the analysis of synthetic aperture radar (SAR) time series is presented, by which these abrupt settlement episodes can be identified in both temporal and spatial domains. The analysis allows the separation between rapid subsidence phenomena during the summer–fall season and annual deformation rates, thereby providing valuable information regarding the actual deformation pattern of the area. The results confirm in situ geological observations, highlighting the unique behaviour of the area due to intense water pumping. The study underlines that average SAR displacement rate maps might be inadequate to describe complex deformation scenarios and could lead to misinterpretations. Exploitation of the full capacity of SAR time series by detailed examination of the displacement histories, through a tailored data-mining strategy, could provide valuable information to geotechnical engineers and planners.     

Comparison of landscape patterns between metropolises and small-sized cities: a gradient analysis with changing grain size in Shanghai and Zhangjiagang,China

Quantifying the urban landscape pattern and its change is fundamental for monitoring and assessing the ecological and socio-economic consequences of urbanization. Using Indian Remote Sensing Panchromatic (IRS-PAN) imagery of 2002 and combining gradient analysis with landscape metrics, we compared the landscape patterns between metropolises and small-sized cities with increasing grain size. Landscape metrics were computed along a 51?×?9 km transect cutting across Shanghai and a 16?×?2 km transect cutting across Zhangjiagang with a moving window. The results showed that fragmentation indices (patch density (PD), total edge (TE), landscape division (LD)) in land use transects of the two cities had many similarities, indicating the common characteristics of urbanization in different-sized cities. There were, however, some striking dissimilarities between the two cities, which did not support the hypothesis that PD increases exponentially along a landscape modification gradient. These differences may have three explanations: the proportion of urban roads area, the width of urban roads and land use change in suburban and rural areas. The proportion of urban road area and the width of urban roads, which should be considered in future research, are two main factors that have been identified to influence the landscape pattern analysis. In younger and smaller cities, spatial competition between local interest groups and imperfect land managerial systems result in an increase in fragmentation in the suburbs, and policymakers should pay more attention to future city planning and management. A bridge linking the urbanization landscape pattern and the process of urban fragmentation will be a key to urban landscape studies and planning.