摘要
以昆明市官渡区为研究区,基于PS-InSAR技术,结合2019年1月—2021年12月覆盖官渡区的36幅Sentinel-1A升轨数据和36幅Sentinel-1A降轨数据,提取研究区内沿雷达视线向地表形变速率,并结合地理探测器对坡度、坡向、高程、降雨量、土地覆被类型、道路密度、距铁路的距离以及距地铁的距离进行单因子和多因子交互的驱动力分析。结果表明,升轨形变速率范围为-30.67~18.27 mm/a,降轨形变速率范围为-24.58~24.36 mm/a,共识别出4个沉降漏斗;通过升降轨数据的交叉验证,证明了利用PS-InSAR技术监测地表形变的可行性;距铁路的距离对官渡区地表形变空间分异的影响最强,同时多因子交互作用增强了地表形变的空间分异。
Based on PS-InSAR technology,we extracted the deformation rate along the radar line of sight to the surface through 36 Sentinel-1A ascending data and 36 Sentinel-1A descending data of Guandu District in Kunming from January 2019 to December 2021.And then,we used geographical detector to analyze the driving force of single-factor and multi-factor interactions on slope,aspect,elevation,rainfall,land cover type,road density,distance from railway and distance from subway.The results indicate that the deformation rate of ascending track ranges from-30.67 to 18.27 mm/a.The deformation rate of descending track ranges from-24.58 to 24.36 mm/a.Four subsidence funnels have been detected.The cross-validation analysis through ascending track and descending track data proves that it is feasible to use PS-InSAR technology to monitor surface deformation.At the same time,the distance from railway is the strongest influence factor on the spatial differentiation of surface deformation in the Guandu District,and the interaction of multiple factors enhances the spatial differentiation of surface deformation.
作者
李益敏
计培琨
杨雪
李媛婷
冯显杰
向倩英
LI Yiming;JI Peikun;YANG Xue;LI Yuanting;FENG Xianjie;XIANG Qianying(School of Earth Science,Yunnan University,Kunming 650500,China;Research Center of Domestic High-resolution Satellite Remote Sensing Geological Engineering,Kunming 650500,China;Institute of International River and Eco-security,Yunnan University,Kunming 650500,China)
出处
《地理空间信息》
2024年第9期61-66,99,共7页
Geospatial Information
基金
国家自然科学基金资助项目(41161070)
教育部产学合作育人资助项目(202102245027、202102136010)
云南省科技厅—云南大学联合基金重点资助项目(2019FY003017)。
关键词
地表形变
PS-INSAR
地理探测器
升降轨
官渡区
surface deformation
PS-InSAR
geographical detector
ascending and descending track
Guandu District
