Name
Title | ||
|---|---|---|
Estimation of sea surface current derived from TRMM sea surface temperature using feature tracking techniques |
Abstract | ||
|---|---|---|
We estimated Sea Surface Velocity (SSV) derived from daily Sea Surface Temperature (SST) measured during Tropical Rainfall Measure Mission (TRMM) in the South China Sea (SCS) from January 1999 to September 2004. In order to estimate SSV from consecutive SSTs, we used two feature tracking techniques: Maximum Cross Correlation (MCC) and Shape Matching Method (SMM). Because the advantages and disadvantages of two methods compensate each other, we incorporated the two SSV vector fields to obtain more SSV features including translation, rotation, and scaling. Using the daily SSV flow fields produced from MCC and SMM methods, we identified the following features in the SCS: (1) SSV patterns driven by summer and winter monsoon, (2) meridional and zonal velocity variation at the Luzon Strait, and (3) the formation of a jet-like meandering off the coast of Vietnam due to coastal upwelling. These features were compared to SSV fields from Princeton Ocean Model (POM), which displayed similar feature. © 2005 IEEE. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/IGARSS.2005.1525511 | IGARSS |
Keywords | Field | DocType |
satellites,temperature measurement,meteorology,ocean temperature,sea surface temperature,remote sensing | Satellite,Sea surface temperature,Remote sensing,Ocean surface topography,Geology,Temperature measurement,Feature tracking | Conference |
Volume | Issue | ISBN |
4 | null | 0-7803-9050-4 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young-Heon Jo | 1 | 9 | 3.16 |
| Xiao-Hai Yan | 2 | 20 | 7.36 |
| Homan Lee | 3 | 1 | 0.71 |
| Mingxia He | 4 | 26 | 8.06 |
| W. Timothy Liu | 5 | 0 | 0.34 |