结合SBAS技术的鲁西南地区地面沉降监测
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摘要
利用2016年8月—2017年8月的14景Sentinel-1雷达影像,采用小基线集(SBAS)技术,提取了鲁西南地区地面沉降信息,并结合公路和铁路等专题数据开展了沉降影响分析。研究结果表明:鲁西南地区地面沉降严重且覆盖范围较大,最大沉降漏斗位于郓城县主城区,沉降速率达-134.06 mm/a;同时地面沉降对铁路有一定影响,特别对公路影响较大;并与水准测量数据进行对比,验证了SBAS用于沉降监测的准确性和时效性。
In this paper,we use the Sentinel-1 radar image of 14 scenes from August 2016 to August 2017,and use the small baseline set( SBAS) technique to extract ground subsidence information in the southwest of Shandong Province. Combined with special data such as roads and railways,settlement impact analysis is carried out. The results show that the ground subsidence is serious and covers a large area in the southwest of Shandong Province. The largest settlement funnel is located in the main urban area of Yancheng County,with a settlement rate of-134.06 mm/a. At the same time,ground subsidence has a certain impact on the railway,especially the larger impact on the highway. We compare with level data to verify the accuracy and timeliness of SBAS technology for settlement monitoring.
In this paper,we use the Sentinel-1 radar image of 14 scenes from August 2016 to August 2017,and use the small baseline set( SBAS) technique to extract ground subsidence information in the southwest of Shandong Province. Combined with special data such as roads and railways,settlement impact analysis is carried out. The results show that the ground subsidence is serious and covers a large area in the southwest of Shandong Province. The largest settlement funnel is located in the main urban area of Yancheng County,with a settlement rate of-134.06 mm/a. At the same time,ground subsidence has a certain impact on the railway,especially the larger impact on the highway. We compare with level data to verify the accuracy and timeliness of SBAS technology for settlement monitoring.
引文
[1]崔振东,唐益群.国内外地面沉降线状与研究[J].西北地震学报,2007,29(3):275-278.
[2]武健强,吴曙亮,闵望,等.苏锡常地区地面沉降防控最新进展评述[J].地质学刊,2014,38(2):319-323.
[3]陶福平,陶虹,李辉.西安市地面沉降数值模拟研究[J].地质学刊,2015,39(4):686-690.
[4]刘波,晏王波,范雪婷,等.基于SBAS技术的武进区地面沉降监测应用研究[J].现代测绘,2016,39(4):9-12.
[5]陈志谋,陈金座,罗楚楚,等.利用小基线集技术(SBAS)监测泉州地区地表形变[J].测绘工程,2017,26(7):36-40.
[6]郭乐萍,岳建平,岳顺.SBAS技术在南京河西地表沉降监测中的应用[J].测绘通报,2017(3):26-28.
[7]周洪月,汪云甲,闫世勇,等.沧州地区地面沉降现状Sentinel-1A/B时序In SAR监测与分析[J].测绘通报,2017(7):89-93.
[8]郭炳跃,何敏,刘建东.利用In SAR技术监测徐州市矿区地表变形[J].地质学刊,2012,36(1):99-103.
[9]鲍金杰,汪云甲.In SAR测量技术在矿区地表沉降监测中的应用[J].煤炭科学技术,2012,40(5):96-99.
[10]朱煜峰.矿区地面沉降的In SAR监测及参数反演[D].长沙:中南大学,2013.
[11]刘一霖,张勤,黄海军,等.矿区地表大量级沉陷形变短基线集In SAR监测分析[J].国土资源遥感,2017,29(2):144-151.
[12]朱叶飞,朱锦旗,詹雅婷,等.基于小基线In SAR技术监测九台营城矿区2012年地表形变[J].遥感技术与应用,2015,30(2):370-375.
[13]邱志伟,岳建平,汪学琴,等.基于短基线集技术的城市地表沉降监测研究[J].测绘通报,2016(7):25-29.
[14]彭鹏.基于SBAS技术的亳州市地面沉降遥感监测应用研究[J].西部资源,2016(4):152-155.
[15]于胜文,王志伟,刘国林,等.In SAR技术在沂沭断裂带地表形变监测中的应用研究[J].测绘科学技术学报,2016,33(2):150-156.
[16]王志勇,张继贤,黄国满.基于In SAR的济宁矿区沉降精细化监测与分析[J].中国矿业大学学报,2014,43(1):169-174.
[17]陈基伟.利用GPS-InSAR合成方法进行地面沉降研究的现状与展望[J].测绘科学,2003,28(4):69-71.
[18]尹宏杰,朱建军,李志伟,等.基于SBAS的矿区形变监测研究[J].测绘学报,2011,40(2):52-58.
[19]何秀凤,仲海蓓,何敏.基于PS-InSAR和GIS空间分析的南通市区地面沉降监测[J].同济大学学报(自然科学版),2011,39(1):129-134.
[20]姜德才,张继贤,张永红,等.百年煤城地表沉降融合PS/SBAS In SAR监测——以徐州市为例[J].测绘通报,2017(1):58-64.
[21] BERARDINO P,FORNARO G,LANARI R,et al.A new algorithm for surface deformation monitoring based on small baseline differential interferograms[J]. IEEE Transactions on Geo-science and Remote Sensing,2002,40(11):2375-2383.
[22]朱叶飞,陈火根,李向前,等.基于SBAS的兰西县城区地面沉降监测研究[J].遥感信息,2014,29(4):76-79.
[23]杨艳,贾三满,王海刚,等.北京规划新城地面沉降影响分析[J].城市规划,2013(11):67-71.
[2]武健强,吴曙亮,闵望,等.苏锡常地区地面沉降防控最新进展评述[J].地质学刊,2014,38(2):319-323.
[3]陶福平,陶虹,李辉.西安市地面沉降数值模拟研究[J].地质学刊,2015,39(4):686-690.
[4]刘波,晏王波,范雪婷,等.基于SBAS技术的武进区地面沉降监测应用研究[J].现代测绘,2016,39(4):9-12.
[5]陈志谋,陈金座,罗楚楚,等.利用小基线集技术(SBAS)监测泉州地区地表形变[J].测绘工程,2017,26(7):36-40.
[6]郭乐萍,岳建平,岳顺.SBAS技术在南京河西地表沉降监测中的应用[J].测绘通报,2017(3):26-28.
[7]周洪月,汪云甲,闫世勇,等.沧州地区地面沉降现状Sentinel-1A/B时序In SAR监测与分析[J].测绘通报,2017(7):89-93.
[8]郭炳跃,何敏,刘建东.利用In SAR技术监测徐州市矿区地表变形[J].地质学刊,2012,36(1):99-103.
[9]鲍金杰,汪云甲.In SAR测量技术在矿区地表沉降监测中的应用[J].煤炭科学技术,2012,40(5):96-99.
[10]朱煜峰.矿区地面沉降的In SAR监测及参数反演[D].长沙:中南大学,2013.
[11]刘一霖,张勤,黄海军,等.矿区地表大量级沉陷形变短基线集In SAR监测分析[J].国土资源遥感,2017,29(2):144-151.
[12]朱叶飞,朱锦旗,詹雅婷,等.基于小基线In SAR技术监测九台营城矿区2012年地表形变[J].遥感技术与应用,2015,30(2):370-375.
[13]邱志伟,岳建平,汪学琴,等.基于短基线集技术的城市地表沉降监测研究[J].测绘通报,2016(7):25-29.
[14]彭鹏.基于SBAS技术的亳州市地面沉降遥感监测应用研究[J].西部资源,2016(4):152-155.
[15]于胜文,王志伟,刘国林,等.In SAR技术在沂沭断裂带地表形变监测中的应用研究[J].测绘科学技术学报,2016,33(2):150-156.
[16]王志勇,张继贤,黄国满.基于In SAR的济宁矿区沉降精细化监测与分析[J].中国矿业大学学报,2014,43(1):169-174.
[17]陈基伟.利用GPS-InSAR合成方法进行地面沉降研究的现状与展望[J].测绘科学,2003,28(4):69-71.
[18]尹宏杰,朱建军,李志伟,等.基于SBAS的矿区形变监测研究[J].测绘学报,2011,40(2):52-58.
[19]何秀凤,仲海蓓,何敏.基于PS-InSAR和GIS空间分析的南通市区地面沉降监测[J].同济大学学报(自然科学版),2011,39(1):129-134.
[20]姜德才,张继贤,张永红,等.百年煤城地表沉降融合PS/SBAS In SAR监测——以徐州市为例[J].测绘通报,2017(1):58-64.
[21] BERARDINO P,FORNARO G,LANARI R,et al.A new algorithm for surface deformation monitoring based on small baseline differential interferograms[J]. IEEE Transactions on Geo-science and Remote Sensing,2002,40(11):2375-2383.
[22]朱叶飞,陈火根,李向前,等.基于SBAS的兰西县城区地面沉降监测研究[J].遥感信息,2014,29(4):76-79.
[23]杨艳,贾三满,王海刚,等.北京规划新城地面沉降影响分析[J].城市规划,2013(11):67-71.