Title :
Application of the ICF Coherence Time Method for Ocean Remote Sensing Using Digital Communication Satellite Signals
Author :
Shah, Rohan ; Garrison, James L.
Author_Institution :
Sch. of Aeronaut. & Astronaut., Purdue Univ., West Lafayette, IN, USA
Abstract :
This paper applies an ocean remote sensing method, first developed for reflected Global Navigation Satellite System (GNSS-R) signals, to reflected digital communication satellite signals. The fundamental observation is the time series of the Interferometric Complex Field (ICF) of the reflected signal. A relationship is derived between the coherence time of the ICF time series and the significant wave height (SWH) and mean wave period (MWP) of the ocean. Direct and reflected signals from the S-band satellite transmissions providing the commercial XM radio service were recorded at Platform Harvest over a 65-day period. In situ measurements from a nearby buoy were used to calibrate this measurement by determining coefficients of a semi-empirical model. SWH retrievals using this model on 1 min of reflected signal observations were found to have a standard deviation of 0.38 m over the range from 1 to 4.5 m. An error analysis was done to show that the primary contribution to this error was uncertainty in the relationship between MWP and SWH, and to quantify the retrieval error from different forward models.
Keywords :
calibration; oceanographic techniques; remote sensing; satellite navigation; time series; GNSS-R signals; Global Navigation Satellite System; ICF coherence time method; ICF time series; Interferometric Complex Field; Platform Harvest; buoy; calibration; digital communication satellite signals; error analysis; mean wave period; ocean remote sensing; significant wave height; Coherence; Correlation; Satellite broadcasting; Satellites; Sea surface; Surface waves; Bistatic remote sensing; coherence time; digital communication; ocean remote sensing; satellite communications; significant wave height (SWH);
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
DOI :
10.1109/JSTARS.2014.2314531