Surface deformation monitoring system based on GAMMA software

doi:10.13474/j.cnki.11-2246.2024.1027.

Abstract

Abstract: InSAR technology has the advantages of large range, high precision, all-day and all-weather. It has been widely used in surface deformation monitoring and elevation acquisition. The GAMMA software has the advantages of supporting rich data sources, comprehensive processing functions, reliable result accuracy and high efficiency. GAMMA is currently a commonly used InSAR data processing software in the world. However, GAMMA uses a command line user interface for interaction, which leads its complicated operating and high professionalism requirements. So it is difficult for non-professional users to use. In order to solve the above problems, this paper uses the user-friendly and open source QGIS to carry out secondary development of GAMMA, combines the py＿gamma library provided by GAMMA and the py_QGIS API interface provided by QGIS, taking the development of InSAR deformation monitoring system as a case, and taking the 106 Sentinel-1 in Warda area,Xizang No. is processing the experiment, which proves the feasibility and reliability of secondary development based on QGIS and GAMMA in terms of software performance and processing results. At the same time, the development adopts technologies such as modular design and algorithm parallel optimization. Relevant content can provide reference for converting command line user interface software to graphical user interface.

Key words: synthetic aperture radar interferometry, QGIS, GAMMA, secondary development

CLC Number:

P237

ZENG Wei, WANG Zeping, YANG Honglei. Surface deformation monitoring system based on GAMMA software[J]. Bulletin of Surveying and Mapping, 2024, 0(10): 163-167.

References

[1] 朱建军,李志伟,胡俊.InSAR变形监测方法与研究进展[J].测绘学报,2017,46(10):1717-1733.
[2] HOOPER A.A multi-temporal InSAR method incorporating both persistent scatterer and small baseline approaches[J].Geophysical Research Letters,2008,35(16):L16302.
[3] SANDWELL D,MELLORS R,TONG X P,et al.Open radar interferometry software for mapping surface Deformation[J].Eos,Transactions American Geophysical Union,2011,92(28):234.
[4] ROSEN P A,HENSLEY S,PELTZER G,et al.Updated repeat orbit interferometry package released[J].Eos,Transactions American Geophysical Union,2004,85(5):47.
[5] KNIOTEK M,MIREK K.Introduction to interferometry processing with Doris:the Delft object-oriented radar interferometric software[J].Geology,Geophysics and Environment,2012,38(4):480-481.
[6] WERNER C,WEGMÜLLER U,STROZZI T,et al.Gamma sar and interferometric processing software[J].Engineering,Environment Science 2000:28598270.
[7] JIANG H,ZHANG G,FAN J P.Structure analysis and generation of X.509 digital certificate based on national secret[J].Journal of Physics:Conference Series,2019,1187(4):042067.
[8] LAWHEAD J.QGIS python programming cookbook-second edition[M].[S.l.]:Packt Publishing,2017.
[9] SHERMAN G.The Pyqgis programmer's guide[M].[S.l.]:Locate Press,2014.
[10] CROSETTO M,MONSERRAT O,IGLESIAS R,et al.Persistent scatterer interferometry[J].Photogrammetric Engineering & Remote Sensing,2010,76(9):1061-1069.
[11] LANARI R,CASU F,MANZO M,et al.An overview of the small BAseline subset algorithm:a DInSAR technique for surface deformation analysis[J].Pure and Applied Geophysics,2007,164(4):637-661.
[12] WERNER C,WEGMULLER U,STROZZI T,et al.Interferometric point target analysis for deformation mapping[C]//Proceedings of 2003 IEEE International Geoscience and Remote Sensing Symposium.Toulouse,France:IEEE,2003.
[13] 任丽垒.基于PYQT的水压致裂地应力测量软件设计与实现[D].北京:中国地质大学(北京),2021.
[14] 杨红磊,刘杰,彭军还,等.一种基于高分辨率的时序InSAR形变监测方法及系统:中国,CN111059998A[P].2020-04-24.
[15] 杨红磊,杜柏林,刘杰.基于地基干涉雷达数据的地表形变实时监测方法及系统:中国,CN111854596A[P].2020-10-30.
[16] 董春,袁卫平,亢晓琛,等.地理国情大数据基本统计的多进程并行计算[J].测绘科学,2014,39(5):13-17.
[17] 杨霄翼.基于Python的“地理处理” 并行方案[J].地理信息世界,2017,24(6):117-121.
[18] 王士正.联合升降轨SAR数据的滑坡二维形变监测及分析[D].北京:中国地质大学(北京),2021.