Tsunami Detection and Parameter Estimation From GNSS-R Delay-Doppler Map

被引:32
作者
Yan, Qingyun [1 ]
Huang, Weimin [1 ]
机构
[1] Mem Univ, Fac Engn & Appl Sci, St John, NF A1B 3X9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Delay-Doppler map (DDM); Global Navigation Satellite System-Reflectometry (GNSS-R); sea surface height anomalies (SSHA); tsunami detection; tsunami parameter estimation; GPS SIGNALS; OCEAN ALTIMETRY; REFLECTOMETRY; SYSTEM; FEASIBILITY; RETRIEVAL; ALGORITHM;
D O I
10.1109/JSTARS.2016.2524990
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, a scheme is developed to detect tsunamis and estimate tsunami parameters from Global Navigation Satellite System-Reflectometry (GNSS-R) delay-Doppler maps (DDMs) of a tsunami-dominant sea surface. First, a procedure to determine tsunami-induced sea surface height anomalies (SSHAs) from DDMs is presented, and a tsunami detection precept is proposed. Subsequently, the tsunami parameters (wave amplitude, direction and speed of propagation, wavelength, and the tsunami source location) are estimated based upon the detected tsunami-induced SSHAs. In application, the sea surface scattering coefficients are unambiguously retrieved by employing the spatial integration approach (SIA) and the dual-antenna technique. Next, the effective wind speed distribution can be restored from the scattering coefficients. Assuming that all DDMs are of a tsunami-dominated sea surface, the tsunami-induced SSHAs can be derived with the knowledge of background wind speed distribution. In addition, the SSHA distribution resulting from the tsunami-free DDM (which is supposed to be zero) is considered as an error map introduced during the overall retrieving stage and is utilized to mitigate such errors from influencing subsequent SSHA results. In particular, a tsunami detection procedure is conducted to judge the SSHAs to be truly tsunami-induced or not through a fitting process, which makes it possible to decrease the false alarm. After this step, tsunami parameter estimation is processed based upon the fitted results in the former tsunami detection procedure. Furthermore, an additional method is proposed for estimating tsunami propagation velocity and is believed to be more desirable in real-world scenarios. The above-mentioned tsunami detection precept and parameter estimation have been tested with simulated data based on the 2004 Sumatra-Andaman tsunami event. The errors of estimated tsunami wave amplitude, propagation direction and velocity, wavelength, and source location are 0.03 cm, 1.16., 1.45 m/s, 5.82 km, and (-0.22 degrees N, -0.67 degrees E), respectively.
引用
收藏
页码:4650 / 4659
页数:10
相关论文
共 30 条
[1]  
Clarizia M. P., 2009, IEEE GEOSCI REMOTE S, V36
[2]   MEASUREMENT OF THE ROUGHNESS OF THE SEA SURFACE FROM PHOTOGRAPHS OF THE SUNS GLITTER [J].
COX, C ;
MUNK, W .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA, 1954, 44 (11) :838-850
[3]  
Egido A., 2007, P 1 C SCI FUND ASP G
[4]   An Efficient Algorithm to the Simulation of Delay-Doppler Maps of Reflected Global Navigation Satellite System Signals [J].
Fernando Marchan-Hernandez, Juan ;
Camps, Adriano ;
Rodriguez-Alvarez, Nereida ;
Valencia, Enric ;
Bosch-Lluis, Xavier ;
Ramos-Perez, Isaac .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (08) :2733-2740
[5]   Wind speed measurement using forward scattered GPS signals [J].
Garrison, JL ;
Komjathy, A ;
Zavorotny, VU ;
Katzberg, SJ .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (01) :50-65
[6]   Towards Sea Ice Remote Sensing with Space Detected GPS Signals: Demonstration of Technical Feasibility and Initial Consistency Check Using Low Resolution Sea Ice Information [J].
Gleason, Scott .
REMOTE SENSING, 2010, 2 (08) :2017-2039
[7]   Variations in sea surface roughness induced by the 2004 Sumatra-Andaman tsunami [J].
Godin, O. A. ;
Irisov, V. G. ;
Leben, R. R. ;
Hamlington, B. D. ;
Wick, G. A. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2009, 9 (04) :1135-1147
[8]   Air-sea interaction and feasibility of tsunami detection in the open ocean [J].
Godin, OA .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2004, 109 (C5) :C050021-20
[9]   The 26 December 2004 tsunami measured by satellite altimetry [J].
Gower, J. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2007, 28 (13-14) :2897-2913
[10]   ON THE FEASIBILITY OF TSUNAMI DETECTION USING SATELLITE-BASED SEA SURFACE ROUGHNESS MEASUREMENTS [J].
Hamlington, B. D. ;
Leben, R. R. ;
Godin, O. A. ;
Irisov, V. G. .
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, :3035-3038