MAPPING THE RATE OF CARBON MINERALIZATION IN OMAN OPHIOLITES USING SENTINEL-1 InSAR TIME SERIES

被引:0
|
作者
Zebker, Molly [1 ]
Chen, Jingyi [1 ]
Hesse, Marc [1 ]
机构
[1] Univ Texas Austin, Austin, TX 78712 USA
关键词
InSAR; remote sensing; surface deformation; Oman Ophiolite;
D O I
10.1109/IGARSS39084.2020.9323764
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Interferometric Synthetic Aperture Radar (InSAR) measurements reveal ground deformation following a rainfall event in the Samail Ophiolite in Oman. Due to the absence of usual tectonic and hydrologic forcings, we hypothesize that deformation is a result of chemical reactions and associated fracturing in the subsurface. When the ultramafic rocks in the ophiolite are exposed to air and water, they undergo carbonation which increases the rock volume and fractures the rock, resulting in observable ground surface uplift. A pilot study using 41 Sentinel-1 SAR images between 2016/11/15 and 2018/03/22 shows up to 4 cm of uplift in the several weeks following a major rainfall event, suggesting that carbonation is limited by rainfall. The uplift signal eventually recedes back to the noise level thus a longer time series with more rainfall events will better confirm this hypothesis. An eventual InSAR time series from 2015-present and an associated groundwater table model may improve the current estimates of CO2 captured by the carbonation, and its rate, in ultramafic rocks.
引用
收藏
页码:1000 / 1002
页数:3
相关论文
共 50 条
  • [1] IRRIGATION MAPPING USING SENTINEL-1 TIME SERIES
    Bazzi, Hassan
    Baghdadi, Nicolas
    Ienco, Dino
    Zribi, Mehrez
    Belhouchette, Hatem
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 4711 - 4714
  • [2] IRRIGATION MAPPING USING STATISTICS OF SENTINEL-1 TIME SERIES
    Gao, Q.
    Zribi, M.
    Escorihuela, M. J.
    Baghdadi, N.
    Quintana-Segui, P.
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 112 - 115
  • [3] RAPESEED FIELDS MAPPING USING SENTINEL-1 TIME SERIES
    Baghdadi, Nicolas
    Maleki, Saeideh
    Dantas, Cassio Fraga
    Najem, Sami
    Bazzi, Hassan
    Ienco, Dino
    Zribi, Mehrez
    IGARSS 2024-2024 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IGARSS 2024, 2024, : 4836 - 4840
  • [4] Irrigation Mapping Using Sentinel-1 Time Series at Field Scale
    Gao, Qi
    Zribi, Mehrez
    Jose Escorihuela, Maria
    Baghdadi, Nicolas
    Segui, Pere Quintana
    REMOTE SENSING, 2018, 10 (09)
  • [5] Amazon Rainforest Mapping using Sentinel-1 Short Time Series
    Pulella, Andrea
    Sica, Francescopaolo
    Rizzoli, Paola
    13TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR, EUSAR 2021, 2021, : 296 - 299
  • [6] OPERATIVE MAPPING OF IRRIGATED AREAS USING SENTINEL-1 AND SENTINEL-2 TIME SERIES
    Bazzi, Hassan
    Baghdadi, Nicolas
    Zribi, Mehrez
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 5796 - 5799
  • [7] Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain
    Bazzi, Hassan
    Baghdadi, Nicolas
    Ienco, Dino
    El Hajj, Mohammad
    Zribi, Mehrez
    Belhouchette, Hatem
    Jose Escorihuela, Maria
    Demarez, Valerie
    REMOTE SENSING, 2019, 11 (15)
  • [8] Flood Extent Mapping in the Caprivi Floodplain Using Sentinel-1 Time Series
    Bangira, Tsitsi
    Iannini, Lorenzo
    Menenti, Massimo
    van Niekerk, Adriaan
    Vekerdy, Zoltan
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 5667 - 5683
  • [9] 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
  • [10] 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