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https://opaj.napstic.cn/periodicalArticle/downloadReview/0120180801201259
基于StaMPS－InSAR的常州地区地表形变监测研究OA北大核心CSTPCD
Monitoring of ground surface deformation in Changzhou City based on StaMPS－InSAR method
针对常规大地测量监测城市区域形变结果无法全面揭示大范围地表形变机理的局限性,尝试采用2006年9月至2010年2月覆盖常州地区的31景ENVISAT ASAR数据,结合StaMPS－InSAR方法对常州地区的大范围地表形变进行监测.结果表明:地表的年沉降速率为－58～24 mm,沉降较大的区域主要集中在武进区,而主城区以地表回弹为主.同时将沉降值较大的区域结合光学影像进行分析,发现沉降值较大区域主要为工业生产区;对京沪铁路沿线的形变分析结果表明,StaMPS－InSAR方法目前在线性目标的监测方面效果也较好.最后利用监测区域同期水准数据与InSAR结果比较,验证了StaMPS－InSAR方法在大范围形变监测中的可靠性、准确性和精确性.
Aiming at the limitations that the traditional geodetic measurements results of urban areas cannot completely reveal the deformation mechanism in large regions,Envisat ASAR data(31 images from September 2006 to February 2012)were ana-lyzed,using the StaMPS－InSAR method,to investigate the spatial－temporal ground surface deformation in Changzhou City.It showed that the annual deformation rate inferred from SAR images ranged from －58 mm to 24 mm per year,serious subsidence areas were mainly distributed in Wujin District and land rise areas were found in the downtown area.Areas suffered from serious land subsidence were concentrated in the industrial production areas.The InSAR results along the Beijing－Shanghai railway in-dicated that StaMPS－InSAR method has good effect on linear project monitoring.At last,contemporaneous levelling data were compared with the InSAR measurements,and it proved that StaMPS－InSAR method had high reliability,accuracy and precision in monitoring ground surface deformation over a large area.
陈德良;陆燕燕;贾东振
南京邮电大学 地理与生物信息学院,江苏 南京 210023南京大学 地理与海洋科学学院,江苏 南京210023南京大学 地理与海洋科学学院,江苏 南京210023
建筑与水利
StaMPS－InSAR地表形变沉降速率常州市
StaMPS－InSARground deformationdeformation rateChangzhou City
《人民长江》 2018 (12)
基于视觉注意的车载激光点云数据城市目标自动提取方法研究
59-65,7
国家自然科学基金项目(41601497,41474001)江苏省测绘地理信息科研项目(JSCHKY201604)南京邮电大学引进人才科研启动基金项目(NY214195)中国博士后科学基金面上资助项目(2017M62176)
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