ESTIMATING TSUNAMI INUNDATION DEPTH USING TERRASAR-X DATA

被引:0
|
作者
Gokon, Hideomi [1 ]
Koshimura, Shunichi [2 ]
Meguro, Kimiro [3 ]
机构
[1] JAIST, Nomi, Japan
[2] Tohoku Univ, Int Res Inst Disaster Sci, Sendai, Miyagi, Japan
[3] Univ Tokyo, Inst Ind Sciance, Tokyo, Japan
关键词
The 2011 Tohoku earthquake tsunami; Building damage; Remote sensing; TerraSAR-X; Tsunami inundation depth; EARTHQUAKE;
D O I
10.1109/igarss.2019.8899127
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In this study, a function to estimate tsunami inundation depth using pre- and post-event high-resolution synthetic aperture radar (TerraSAR-X) data was derived and the performance was evaluated. After the tsunami disaster, it is important to identify an extensive impact caused by a tsunami disaster. Tsunami inundation depth is an important index to expect building damage because it has a strong correlation with the amount of building damage. However, it was diffcult to estimate the tsunami inundation depth from satellite image. This study aims at developing a method to estimate tsunami inundation depth by integrating remote sensing technology and tsunami engineering. The method for estimating tsunami inundation depth consists of two steps, 1) Change detection of pre- and post-event TerraSAR-X data that captured affected areas due to the 2011 Tohoku earthquake and tsunami, 2) Estimation of tsunami inundation depth. The new function showed good performance with the corrrelation coefficient of R = 0.68.
引用
收藏
页码:4845 / 4848
页数:4
相关论文
共 50 条
  • [41] CLASSIFICATION OF TUNDRA REGIONS WITH POLARIMETRIC TERRASAR-X DATA
    Widhalm, Barbara
    Bartsch, Annett
    Roth, Achim
    Leibman, Marina
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 8551 - 8554
  • [42] SURFACE CURRENT RETRIEVAL FROM TERRASAR-X DATA USING DOPPLER MEASUREMENTS
    Rossi, Cristian
    Runge, Hartmut
    Breit, Helko
    Fritz, Thomas
    2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 3055 - 3058
  • [43] Flood Extent Mapping Based on TerraSAR-X Data
    Cruz, Virginia Herrera
    Mueller, Marc
    Weise, Christian
    PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION, 2010, (06): : 475 - 488
  • [44] OPERATIONAL STACKING OF TERRASAR-X SCANSAR AND TOPS DATA
    Yaguee-Martinez, Nestor
    Balss, Ulrich
    Breit, Helko
    Gonzalez, Fernando Rodriguez
    Fritz, Thomas
    Lachaise, Marie
    Adam, Nico
    2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 888 - 890
  • [45] Status of the TerraSAR-X mission
    Roth, A
    Weminghatis, R
    IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 4868 - 4869
  • [46] TerraSAR-X mission status
    Weminghaus, R.
    Buckreuss, S.
    Pitz, W.
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 3927 - +
  • [47] TerraSAR-X: Predicted performance
    Mittermayer, J
    Alberga, V
    Buckreuss, S
    Riegger, S
    SENSORS, SYSTEMS AND NEXT-GENERATION SATELLITES VI, 2003, 4881 : 244 - 255
  • [48] The TerraSAR-X satellite project
    Buckreuss, S
    Balzer, W
    Mühlbauer, P
    Werninghaus, R
    Pitz, W
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 3096 - 3098
  • [49] Method for soil moisture retrieval in arid prairie using TerraSAR-X data
    Bai, Xiaojing
    He, Binbin
    Xing, Minfeng
    Li, Xiaowen
    JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
  • [50] IMAGING GEODESY WITH TERRASAR-X
    Eineder, Michael
    Cong, Xiaoying
    Minet, Christian
    Steigenberger, Peter
    Fritz, Thomas
    Jaber, Wael Abdel
    2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 4827 - 4830