Title :
Ocean Surface´s Scattering Coefficient Retrieval by Delay–Doppler Map Inversion
Author :
Valencia, Enric ; Camps, Adriano ; Marchan-Hernandez, Juan Fernando ; Park, Hyuk ; Bosch-Lluis, Xavier ; Rodriguez-Alvarez, Nereida ; Ramos-Perez, Isaac
Author_Institution :
Dept. of Signal Theor. & Commun., Univ. Politec. de Catalunya, Barcelona, Spain
fDate :
7/1/2011 12:00:00 AM
Abstract :
Global navigation satellite system reflectometry of signals is a promising technique to remotely sense a number of Earth´s geophysical parameters, and it has been proposed for ocean monitoring applications such as mesoscale altimetry or sea state monitoring. So far, the following two main approaches have been considered to retrieve a sea state descriptor from measured delay waveforms or delay-Doppler (DD) maps (DDMs): 1) fitting the measurements to a model tuned with the desired parameter or 2) directly linking a property of the measurements with the parameter to be retrieved (e.g., volume of the normalized DDM). However, these approaches provide a single sea state descriptor related to the overall glistening zone where sea state conditions may not be homogeneous. In this letter, the relationship between the physical space and the DD domains is exploited, and a method to retrieve the bistatic scattering coefficient distribution over the observation ocean surface from measured DDMs is proposed.
Keywords :
oceanographic techniques; reflectometry; remote sensing; satellite navigation; Earth geophysical parameter; bistatic scattering coefficient distribution; delay-Doppler map inversion; glistening zone; global navigation satellite system; mesoscale altimetry; ocean surface scattering coefficient; reflectometry; remote sensing; sea state condition; sea state descriptor; sea state monitoring; Deconvolution; Noise; Remote sensing; Scattering; Sea measurements; Sea surface; Bistatic scattering coefficient; delay–Doppler map (DDM); global navigation satellite system reflectometry (GNSS-R); sea state;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2011.2107500