Next Article in Journal
Characterizing and Monitoring Ground Settlement of Marine Reclamation Land of Xiamen New Airport, China with Sentinel-1 SAR Datasets
Previous Article in Journal
Entrance Pupil Irradiance Estimating Model for a Moon-Based Earth Radiation Observatory Instrument
Open AccessArticle

Significant Wave Height Estimation from Space-Borne Cyclone-GNSS Reflectometry

by 1,2 and 2,3,*
1
School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
2
Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
3
School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(5), 584; https://doi.org/10.3390/rs11050584
Received: 26 January 2019 / Revised: 4 March 2019 / Accepted: 6 March 2019 / Published: 11 March 2019
(This article belongs to the Section Ocean Remote Sensing)
The significant wave height (SWH) of the sea is an important parameter and plays an important role in the prediction of waves and ocean dynamics. However, traditional methods, e.g., buoys or traditional remote sensing techniques such as X-band radar image have small measurement range and high cost. Recently, Global Navigation Satellite System-Reflectometry (GNSS-R) has provided a new opportunity to estimate the SWH, especially the space-borne Cyclone-GNSS (CYGNSS) launched on December 15, 2016. The GNSS-R uses the GNSS-reflected signal received by the receiver to invert ground physical parameters with all-weather, global fast coverage, high resolution, high precision, high long-term stability, rich signal sources, passive detection, and strong concealment. In this paper, the global ocean significant wave height is estimated using space-borne CYGNSS GNSS-R data for the first time though the relationship between the square root of the signal-to-noise ratio (SNR) data of CYGNSS delayed Doppler map (DDM) and the SWH. Then, the estimated significant wave height is compared with the satellite altimeter and buoy data. Compared with the AVISO SWH observation, the standard deviation value reaches 0.3080 m and the correlation coefficient reaches 0.9473 m. The correlation coefficient with the buoy SWH observation is 0.9539 m and the standard deviation is 0.2761 m. The SWH estimations from CYGNSS can provide important support in ocean shipping development, marine environmental protection, marine disaster warning and forecasting. View Full-Text
Keywords: significant wave height; delayed Doppler map; signal-to-noise ratio; Cyclone-GNSS; Global Navigation Satellite System-Reflectometry significant wave height; delayed Doppler map; signal-to-noise ratio; Cyclone-GNSS; Global Navigation Satellite System-Reflectometry
Show Figures

Graphical abstract

MDPI and ACS Style

Peng, Q.; Jin, S. Significant Wave Height Estimation from Space-Borne Cyclone-GNSS Reflectometry. Remote Sens. 2019, 11, 584. https://doi.org/10.3390/rs11050584

AMA Style

Peng Q, Jin S. Significant Wave Height Estimation from Space-Borne Cyclone-GNSS Reflectometry. Remote Sensing. 2019; 11(5):584. https://doi.org/10.3390/rs11050584

Chicago/Turabian Style

Peng, Qin; Jin, Shuanggen. 2019. "Significant Wave Height Estimation from Space-Borne Cyclone-GNSS Reflectometry" Remote Sens. 11, no. 5: 584. https://doi.org/10.3390/rs11050584

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop