新汶矿区SBAS-StaMPS地表形变监测分析  被引量:3

Monitoring and analysis of ground surface deformation based on SBAS-StaMPS in Xinwen mining area

在线阅读下载全文

作  者:丛康林[1,2] 岳建平 董超[1] 方云波[3] Cong Kanglin;Yue Jianping;Dong Chao;Fang Yunbo(School of Information Science and Engineering,Shandong Agricultural University,Taian 271018,China;School of Earth Sciences and Engineering,Hohai University,Nanjing 211100,China;Shanghai Weichen Geomatics Technology Co.,Ltd.,Shanghai 200001,China)

机构地区:[1]山东农业大学信息科学与工程学院,山东泰安271018 [2]河海大学地球科学与工程学院,江苏南京211100 [3]上海卫宸测绘科技有限公司,上海200001

出  处:《矿山测量》2020年第6期1-5,共5页Mine Surveying

基  金:国家重点研发计划(2018YFC1508603)。

摘  要:针对新汶矿区,采用SBAS-StaMPS方法对2016~2020年48景Sentinel-1A影像进行时序分析,反演了4年的地表形变过程,提取了8个采煤区地表时序沉降量,最大沉降量达180 mm,最大沉降速率为44.49 mm/a,沉降区中心表现出匀速型、阶梯型和加速型三种趋势。结果表明SBASStaMPS方法能够有效应用于多植被覆盖的采矿沉陷区识别与监测,可作为矿区地表形变监测分析的有效手段。Time series analysis on 48 scenes of Sentinel-1 A images was analyzed by the SBAS-StaMPS method from 2016 to 2020 in Xinwen mining area.Surface deformation process was inverted for 4 years.The time series of surface subsidence was obtained in 8 coal mining areas.Maximum settlement was 180 mm,and the maximum deformation rate was 44.49 mm and acceleration.Results showed that the SBAS-StaMPS method could be effectively applied to the identification and monitoring of mining subsidence areas with a large amount of vegetation cover,providing the effective method for monitoring and analysis of surface deformation in mining areas.

关 键 词:StaMPS-MTI SBAS 矿区形变 沉降速率 新汶 

分 类 号:P237[天文地球—摄影测量与遥感] TD325[天文地球—测绘科学与技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象