DocumentCode
36411
Title
Compensating the PTR and LPF Features of the HY-2A Satellite Altimeter Utilizing Look-Up Tables
Author
Xi-Yu Xu ; Ke Xu ; Zhen-Zhan Wang ; He-Guang Liu ; Lei Wang
Author_Institution
CAS Key Lab. of Microwave Remote Sensing (MiRSLab), Nat. Space Sci. Center (NSSC), Beijing, China
Volume
8
Issue
1
fYear
2015
fDate
Jan. 2015
Firstpage
149
Lastpage
159
Abstract
The point target response (PTR) and low-pass filter (LPF) features of the altimeter (ALT) onboard China´s HY-2A satellite are presented and analyzed. Via Monte-Carlo simulation, the look-up tables (LUTs) of the range (epoch), significant wave height (SWH), and backscatter (Sigma0) biases with respect to SWH and attitude angle (ATT) are calculated accounting for the instrument PTR and LPF features using two distinct retracking algorithms (MLE3 and MLE4). The performance of both retracking algorithms are also evaluated in terms of the size of the biases (corrections) produced, and MLE4 is found better. The actual PTR and the Bessel-expression flat surface impulse response (FSIR) are integrated in the simulation procedure to achieve more accurate results. The simulated biases are tabulated by very fine grids of SWH and ATT so that they can be used as corrections in the ground preprocessing procedure (processing prior to Level 2 product) to get better operational ocean products. As verified by the crossover analysis with the Jason-2 ALT, the corrections pertaining to the instrument features significantly improve the accuracy of HY-2A ALT sea level products.
Keywords
Bessel functions; altimeters; low-pass filters; ocean waves; oceanographic techniques; radar altimetry; radioaltimeters; remote sensing by radar; table lookup; Bessel-expression flat surface impulse response; HY-2A satellite altimeter; Jason-2 ALT; backscatter biases; look-up tables; low-pass filter features; point target response features; retracking algorithms; significant wave height biases; Instruments; Receivers; Remote sensing; Satellites; Sea surface; Table lookup; Low-pass filter (LPF); Monte Carlo methods; maximum likelihood estimation; measurement errors; radar altimetry;
fLanguage
English
Journal_Title
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher
ieee
ISSN
1939-1404
Type
jour
DOI
10.1109/JSTARS.2014.2364026
Filename
6953137
Link To Document