Ocean Surface Wind Speed Retrieval Using Spaceborne GNSS-R

YANG Dongkai; LIU Yi; WANG Feng

doi:10.11999/JEIT170490

Volume 40 Issue 2

Feb. 2018

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(2): 462-469

YANG Dongkai, LIU Yi, WANG Feng. Ocean Surface Wind Speed Retrieval Using Spaceborne GNSS-R[J]. Journal of Electronics & Information Technology, 2018, 40(2): 462-469. doi: 10.11999/JEIT170490

Citation:

YANG Dongkai, LIU Yi, WANG Feng. Ocean Surface Wind Speed Retrieval Using Spaceborne GNSS-R[J]. Journal of Electronics & Information Technology, 2018, 40(2): 462-469. doi: 10.11999/JEIT170490

YANG Dongkai, LIU Yi, WANG Feng. Ocean Surface Wind Speed Retrieval Using Spaceborne GNSS-R[J]. Journal of Electronics & Information Technology, 2018, 40(2): 462-469. doi: 10.11999/JEIT170490

Citation:

YANG Dongkai, LIU Yi, WANG Feng. Ocean Surface Wind Speed Retrieval Using Spaceborne GNSS-R[J]. Journal of Electronics & Information Technology, 2018, 40(2): 462-469. doi: 10.11999/JEIT170490

PDF( 2236 KB)

Ocean Surface Wind Speed Retrieval Using Spaceborne GNSS-R

doi: 10.11999/JEIT170490

Received Date: 2017-05-22
Rev Recd Date: 2017-10-06
Publish Date: 2018-02-19

Abstract

Abstract

For spaceborne GNSS-R, Delay-Doppler Map (DDM) shape is less sensitive to wind speed, resulting in poor retrieval accuracy measured by fitting theoretical DDM to the measured one. To solve this problem, a method directly linking the individual DDM power measurement to wind speed is developed to obtain wind speed. Scattered power is normalized by correction factor and its simplified form based on Zavorotny-Voronovich (Z-V) model, respectively. Empirical geophysical model functions linking both normalized scattered power and its simplified form to ocean surface wind speed are derived using spaceborne data on UK TechDemoSat-1 (TDS-1) together with in-situ Advanced Scatterometer (ASCAT) wind measurements. The Root-Mean-Square Error (RMSE) of wind speeds retrieved utilizing normalized scattered power is 2.11 m/s at 0~20 m/s. Simplified normalized scattered power by which wind speed accuracy retrieved is the same level with normalized scattered power is more suitable for real-time processing on-board.
- Spaceborne GNSS-R,
- Ocean surface wind speed,
- TDS-1,
- Empirical model

FullText(HTML)

References(30)

References

GARRISON J L, KOMJATHY A, ZAVOROTNY V U, et al. Wind speed measurement using forward scattered GPS signals[J]. IEEE Transactions on Geoscience Remote Sensing, 2002, 40(1): 50-65. doi: 10.1109/36.981349.

周旋, 叶小敏, 于暘, 等. 基于GNSS-R的海面风速探测技术研究[J]. 电子与信息学报, 2013, 35(7): 1575-1580. doi: 10.3724/SP.J.1146.2012.01396.

ZHOU Xuan, YE Xiaomin, YU Yang, et al. Sea surface wind speed measurement using GNSS reflection signal[J]. Journal of Electronics Information Technology, 2013, 35(7): 1575-1580. doi: 10.3724/SP.J.1146.2012.01396.

KOMJATHY A, MASLANIK J, ZAVOROTNY V U, et al. Sea ice remote sensing using surface reflected GPS signals[C]. IEEE International Geoscience and Remote Sensing Symposium, Hawaii, 2000, 7: 2855-2857.

高洪兴, 杨东凯, 张波, 等. 基于GNSS卫星反射信号的海冰厚度探测[J]. 电子与信息学报, 2017, 39(5): 1096-1100. doi: 10.11999/JEIT160765.

GAO Hongxin, YANG Dongkai, ZHANG Bo, et al. Remote sensing of sea ice thickness with GNSS reflected signal[J]. Journal of Electronics Information Technology, 2017, 39(5): 1096-1100. doi: 10.11999/JEIT160765.

RODRIGUEZ-ALVAREZ N, BOSCH-LLUIS X, CAMPS A, et al. Soil moisture retrieval using GNSS-R techniques: Experimental results over a bare soil field[J]. IEEE Transactions on Geoscience Remote Sensing, 2009, 47(11): 3616-3624. doi: 10.1109/TGRS.2009.2030672.

Mironov V L and Muzalevskiy K V. The new algorithm for retrieval of soil moisture and surface roughness from GNSS reflectometry[C]. IEEE International Geoscience and Remote Sensing Symposium, Munich, 2012: 7530-7532.

GARRISON J L, KATZBERG S J, and HILL M I. Effect of sea roughness on bistatically scattered range coded signals from the Global Positioning System[J]. Geophysical Research Letters, 1998, 25(13): 2257-2260. doi: 10.1029/98GL51615.

ZAVOROTNY V U and VORONOVICH A G. Scattering of GPS signals from the ocean with wind remote sensing application[J]. IEEE Transactions on Geoscience Remote Sensing, 2000, 38(2): 951-964. doi: 10.1109/36.841977.

LOWE S T, LABRECQUE J L, ZUFFADA C, et al. First spaceborne observation of an Earth-reflected GPS signal[J]. Radio Science, 2002, 37(1): 1-28. doi: 10.1029/2000RS002539.

GLEASON S, HODGART S, SUN Y, et al. Detection and processing of bistatically reflected GPS signals from low Earth orbit for the purpose of ocean remote sensing[J]. IEEE Transactions on Geoscience Remote Sensing, 2005, 43(6): 1229-1241. doi: 10.1109/TGRS.2005.845643.

GLEASON S. Remote sensing of ocean, ice and land surfaces using bistatically scattered GNSS signals from low earth orbit[D]. [Ph.D. dissertation], University of Surrey, 2006.

CLARIZIA M P, RUF C S, JALES P, et al. Spaceborne GNSS-R minimum variance wind speed estimator[J]. IEEE Transactions on Geoscience Remote Sensing, 2014, 52(11): 6829-6843. doi: 10.1109/TGRS.2014.2303831.

FOTI G, GOMMENGINGER C, JALES P, et al. Spaceborne GNSS reflectometry for ocean winds: first results from the UK TechDemoSat-1 mission[J]. Geophysical Research Letters, 2015, 42(13): 5435-5441. doi: 10.1002/2015GL064204.

WANG Xin, SUN Qiang, ZHANG Xunxie, et al. First China ocean reflection experiment using coastal GNSS-R[J]. Science Bulletin, 2008, 53(7): 1117-1120. doi: 10.1007/S11434-008- 0110-2.

LI W Q, YANG D K, FABRA F, et al. Typhoon wind speed observation utilizing reflected signals from Beidou Geo satellites[C]. China Satellite Navigation Conference (CSNC), Nanjing, 2014: 191-200.

WANG F, YANG D K, ZHANG B, et al. Wind speed retrieval using coastal ocean-scattered GNSS signals[J]. IEEE Journal of Selected Topics in Applied Earth Observations Remote Sensing, 2016, 9(11): 5272-5283. doi: 10.1109/ JSTARS.2016.2611598.

杨东凯, 张益强, 张其善, 等. 基于GPS散射信号的机载海面风场反演系统[J]. 航空学报, 2006, 27(2): 310-313.

YANG Dongkai, ZHANG Yiqiang, ZHANG Qishan, et al. Airborne ocean wind-field retrieval system based on GPS scattering signals[J]. Acta Aeronautica Et Astronautica Sinica, 2006, 27(2): 310-313.

YANG D K, ZHANG Y Q, LU Y, et al. GPS reflections for sea surface wind speed measurement[J]. IEEE Geoscience Remote Sensing Letters, 2008, 5(4): 569-572. doi: 10.1109/ LGRS.2008.2000620.

李伟强, 杨东凯, 李明里, 等. 面向遥感的GNSS反射信号接收处理系统及实验[J]. 武汉大学学报信息科学版, 2011, 36(10): 1204-1208.

LI Weiqiang, YANG Dongkai, LI Mingli, et al. Design and experiments of GNSS-R receiver system for remote sensing[J]. Geomatics Information Science of Wuhan University, 2011, 36(10): 1204-1208.

RODRIGUEZ-ALVAREZ N and GARRISON J L. Generalized linear observables for ocean wind retrieval from calibrated GNSS-R delay-doppler maps[J]. IEEE Transactions on Geoscience Remote Sensing, 2015, 54(2): 1142-1155. doi: 10.1109/TGRS.2015.2475317.

UNWIN M, JALES P, TYE J, et al. Spaceborne GNSS- reflectometry on TechDemoSat-1: Early mission operations and exploitation[J]. IEEE Journal of Selected Topics in Applied Earth Observations Remote Sensing, 2016, 9(10): 4525-4539. doi: 10.1109/JSTARS.2016.2603846.

TYE J, JALES P, UNWIN M, et al. The first application of stare processing to retrieve mean square slope using the SGR-ReSI GNSS-R experiment on TDS-1[J]. IEEE Journal of Selected Topics in Applied Earth Observations Remote Sensing, 2016, 9(10): 4669-4677. doi: 10.1109/JSTARS.2016. 2542348.

SOISUVARN S, JELENAK Z, SAID F, et al. The GNSS reflectometry response to the ocean surface winds and waves[J]. IEEE Journal of Selected Topics in Applied Earth Observations Remote Sensing, 2016, 9(10): 4678-4699. doi: 10.1109/JSTARS.2016.2602703.

CLARIZIA M P and RUF C S. Wind speed retrieval algorithm for the cyclone global navigation satellite system (CYGNSS) mission[J]. IEEE Transactions on Geoscience Remote Sensing, 2016, 54(8): 4419-4432. doi: 10.1109/TGRS. 2016.2541343.

杨东凯, 张其善. GNSS反射信号处理基础与实践[M]. 北京:电子工业出版社, 2012: 90-91.

YANG Dongkai and ZHANG Qishan. GNSS Reflected Signal Processing: Fundamentals and Applications[M]. Beijing: Publishing House of Electronics Industry, 2012: 90-91.

Relative Articles

Supplements(0)

Cited By

Proportional views