TIME-SERIES LANDSLIDE MONITORING BASED ON STAMPS-SBAS: A CASE STUDY IN LUSHAN, TAIWAN

被引：0
|
作者：
Du, Yanan [1 ]
Liu, Lin [1 ]
Feng, Guangcai [2 ]
Peng, Xing [2 ]
Liang, Hongyu [3 ]
Zhu, Yuanhui [1 ]
机构：
[1] Guangzhou Univ, Sch Geog Sci, Guangzhou, Peoples R China
[2] Cent South Univ, Sch Geosci & Infophys, Changsha, Peoples R China
[3] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China
来源：
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Landslide; MTInSAR; time-series deformation;
D O I：
10.1109/igarss.2019.8898341
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Multiple temporal InSAR (MTInSAR) is a useful tool that has been widely used in slow-moving landslides detection and monitoring. However, the serious decorrelation can affect the scatterer selection and phase unwrapping during the procedures of MTInSAR when the amount of SAR images is small. In this study, a modified StaMPS-SBAS is provided to time-series deformation monitoring for landslides detection and monitoring. Multilook and nonlocal filtering operations are adopted to improve the coherence and phase quality before StaMPS-SBAS. The time-series deformation is validated with three collected GPS stations. The results found that: (1) Several landslides with average rate over 40mm/yr in the research of interest are observed. (2) The reginal maximum rate reached to - 92.7mm/yr. (3) The RMSE of time-series deformation in the selected GPS station is 4.4 mm.
引用
收藏
页码：9622 / 9625
页数：4
相关论文
共 50 条
  • [11] RADARSAT-1 Deformation Time-Series Analysis Based on the SBAS-DInSAR Algorithm
    Bonano, M.
    Pepe, A.
    Euilades, L. D.
    Sansosti, E.
    Berardino, P.
    Lanari, R.
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 3253 - +
  • [12] Implementation of a Time-Series Imagery Service Framework Based on GeoServer A Case Study of Water Quality Monitoring Map
    Wang, Kan
    2024 5TH INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND APPLICATION, ICCEA 2024, 2024, : 1076 - 1082
  • [13] Time-Series SBAS Pixel Offset Tracking Method for Monitoring Three-Dimensional Deformation in a Mining Area
    Huang, Jilei
    Bai, Yang
    Lei, Shaogang
    Deng, Kazhong
    IEEE ACCESS, 2020, 8 : 118787 - 118798
  • [14] Spatiotemporal prediction of landslide displacement using deep learning approaches based on monitored time-series displacement data: a case in the Huanglianshu landslide
    Xi, Ning
    Zang, Mingdong
    Lin, Ruoshen
    Sun, Yingjie
    Mei, Gang
    GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS, 2023, 17 (01) : 98 - 113
  • [15] Urban Subsidence Monitoring in Ulsan City Using GACOS Based Tropospheric Delay Corrected Time-series SBAS-InSAR Technique
    Vadivel, Suresh Krishnan Palanisamy
    Kim, Duk-jin
    Lee, Jung-hoon
    Song, Juyoung
    Kim, Junwoo
    KOREAN JOURNAL OF REMOTE SENSING, 2022, 38 (06) : 1081 - 1089
  • [16] Study and application of monitoring plane displacement of a similarity model based on time-series images
    Xu Jiankun~a
    International Journal of Mining Science and Technology, 2011, 21 (04) : 501 - 505
  • [17] Study and application of monitoring plane displacement of a similarity model based on time-series images
    Xu JiankunabcWang EnyuanabLi ZhonghuiabWang Chaoab aState Key Laboratory of Coal Resources and Mine SafetyXuzhou China bSchool of Safety EngineeringChina University of Mining TechnologyXuzhou China cSchool of MinesChina University of Mining TechnologyXuzhou China
    MiningScienceandTechnology, 2011, 21 (04) : 501 - 505
  • [18] Slow Deformation Time-Series Monitoring for Urban Areas Based on the AWHPSPO Algorithm and TELM: A Case Study of Changsha, China
    Xing, Xuemin
    Zhang, Jihang
    Zhu, Jun
    Zhang, Rui
    Liu, Bin
    REMOTE SENSING, 2023, 15 (06)
  • [19] Dimensionality Reduction of Service Monitoring Time-Series: An Industrial Use Case
    Anowar F.
    Sadaoui S.
    Dalal H.
    SN Computer Science, 4 (1)
  • [20] Monitoring of Volcanic Activity of Augustine Volcano, Alaska Using TCPInSAR and SBAS Time-series Techniques for Measuring Surface Deformation
    Cho, Minji
    Zhang, Lei
    Lee, Chang-Wook
    KOREAN JOURNAL OF REMOTE SENSING, 2013, 29 (01) : 21 - 34
12345