TOWARDS INSAR EVERYWHERE, ALL THE TIME, WITH SENTINEL-1

被引:19
|
作者
Li, Zhenhong [1 ]
Wright, Tim [2 ]
Hooper, Andrew [2 ]
Crippa, Paola [1 ]
Gonzalez, Pablo [2 ]
Walters, Richard [3 ]
Elliott, John [4 ]
Ebmeier, Susanna [5 ]
Hatton, Emma [2 ]
Parsons, Barry [4 ]
机构
[1] Newcastle Univ, Sch Civil Engn & Geosci, COMET, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[2] Univ Leeds, Sch Earth & Environm, COMET, Leeds LS2 9JT, W Yorkshire, England
[3] Univ Durham, Dept Earth Sci, COMET, Durham DH1 3LE, England
[4] Univ Oxford, Dept Earth Sci, COMET, Oxford OX1 3AN, England
[5] Univ Bristol, Sch Earth Sci, COMET, Bristol BS8 1RJ, Avon, England
来源
XXIII ISPRS Congress, Commission IV | 2016年 / 41卷 / B4期
关键词
Sentinel-1; TOPS; InSAR; ECMWF; Tectonics; Volcanoes;
D O I
10.5194/isprsarchives-XLI-B4-763-2016
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Sentinel-1A was launched in April 2014, and has been collecting data routinely over more than one year. Sentinel-1B is set for launch on 22 April 2016. The Sentinel-1 constellation has several advantages over previous radar missions for InSAR applications: (1) Data are being acquired systematically for tectonic and volcanic areas, (2) Images cover a wide footprint, 250 km from near to far range in Interferometric Wide Swath (TOPS) mode, (3) Small perpendicular and temporal baselines greatly improve interferometric coherence at C-band, (4) Data are freely available to all users, (5) The mission is planned to be operational for 20 years, with 1C and 1D planned for future launches. These features enable us to map geological processes occurring in any place at anytime using InSAR. We will review progress within COMET towards our ultimate goal of building a fully-automated processing system that provides deformation results and derived products to the wide InSAR and Geophysics communities. In addition to high-resolution-ECMWF-based atmospheric correction model, we will show results of a systematic analysis of interferometric coherence in tectonic and volcanic areas, and discuss the future goals and timeline for the COMET InSAR automated processing system.
引用
收藏
页码:763 / 766
页数:4
相关论文
共 50 条
  • [1] PERSPECTIVES OF SENTINEL-1 FOR INSAR APPLICATIONS
    Rocca, Fabio
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 1738 - 1740
  • [2] Benchmarking and inter-comparison of Sentinel-1 InSAR velocities and time series
    Sadeghi, Z.
    Wright, T. J.
    Hooper, A. J.
    Jordan, C.
    Novellino, A.
    Bateson, L.
    Biggs, J.
    REMOTE SENSING OF ENVIRONMENT, 2021, 256
  • [3] PREDICTION OF LONG-TERM SENTINEL-1 INSAR TIME SERIES ANALYSIS
    Abdikan, S.
    Coskun, S.
    Narin, O. G.
    Bayik, C.
    Calo, F.
    Pepe, A.
    Sanli, F. Balik
    39TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT ISRSE-39 FROM HUMAN NEEDS TO SDGS, VOL. 48-M-1, 2023, : 3 - 8
  • [4] On the Value of Sentinel-1 InSAR Coherence Time-Series for Vegetation Classification
    Nikaein, Tina
    Iannini, Lorenzo
    Molijn, Ramses A.
    Lopez-Dekker, Paco
    REMOTE SENSING, 2021, 13 (16)
  • [5] Offline-Online Change Detection for Sentinel-1 InSAR Time Series
    Hussain, Ekbal
    Novellino, Alessandro
    Jordan, Colm
    Bateson, Luke
    REMOTE SENSING, 2021, 13 (09)
  • [6] Time-Series Prediction Approaches to Forecasting Deformation in Sentinel-1 InSAR Data
    Hill, P.
    Biggs, J.
    Ponce-Lopez, V.
    Bull, D.
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2021, 126 (03)
  • [7] SENTINEL-1 INSAR COHERENCE AS AN INDICATOR OF MONITOR FARMING ACTIVITIES
    Huber, Manuel
    Kumar, Vineet
    Steele-Dunne, Susan C.
    Rommen, Bjorn
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 429 - 432
  • [8] Challenges and Opportunities of Sentinel-1 InSAR for Transport Infrastructure Monitoring
    Piter, Andreas
    Haghighi, Mahmud Haghshenas
    Motagh, Mahdi
    PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE, 2024, 92 (05): : 609 - 627
  • [9] Research on key algorithms for long-time-series deformation monitoring by Sentinel-1 InSAR
    Ma Z.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2024, 53 (02): : 397
  • [10] MAPPING THE RATE OF CARBON MINERALIZATION IN OMAN OPHIOLITES USING SENTINEL-1 InSAR TIME SERIES
    Zebker, Molly
    Chen, Jingyi
    Hesse, Marc
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 1000 - 1002