Name
Title | ||
|---|---|---|
Comparison of two retrieval methods with combined passive and active microwave remote sensing observations for soil moisture |
Abstract | ||
|---|---|---|
The brightness temperature (BT) and backscattering coefficient (BSC) measured simultaneously by passive and active microwave sensors have great potential for the estimation of land surface soil moisture (SM). Several methods with combined passive and active microwave remote sensing observations for SM have been reported. Usually, the use of these methods, requires an accurate roughness condition, especially when dealing over the bare surface or surface with low vegetation. In this paper, two different retrieval methods for estimating SM using synthetic microwave remote sensing data were compared. The difference between the two methods is the way to estimate the roughness parameter. The three-parameter retrieval approach (THRA) takes the roughness parameter as a variable to be retrieved, and derives land surface parameters (e.g., SM, surface temperature (ST) and roughness) simultaneously from BT and BSC using nonlinear algorithms. The two-parameter retrieval approach (TWRA) retrieves roughness from BSC firstly, then takes the roughness as an input parameter to retrieve SM and ST from BT. The two retrieval methods were applied on AMSR-E (Advance Microwave Scanning Radiometer for EOS) and QuikSCAT/Seawinds (The Seawinds scatterometer on NASA's (National Aeronautics and Space Administration) Quick Scatterometer) observations which have been carried out for the SMEX03 (Soil Moisture Experiment 2003) region in ON, the north of Oklanoma. The comparison results shows TWRA has achieved a higher accuracy than THRA in dealing with the active and passive microwave observations at different overpass times. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.mcm.2010.11.052 | Mathematical and Computer Modelling |
Keywords | Field | DocType |
retrieves roughness,bare surface,active microwave,roughness,quikscat/seawinds,active microwave sensor,surface temperature,accurate roughness condition,combined passive,roughness parameter,land surface parameter,amsr-e,different retrieval method,soil moisture,land surface soil moisture,brightness temperature | Meteorology,Microwave,Brightness temperature,Microwave remote sensing,Backscatter,Remote sensing,Scatterometer,Surface finish,Water content,Mathematics,Radiometer | Journal |
Volume | Issue | ISSN |
54 | 3-4 | Mathematical and Computer Modelling |
Citations | PageRank | References |
0 | 0.34 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qin Li | 1 | 0 | 0.34 |
| Ruofei Zhong | 2 | 45 | 18.76 |
| Jianxi Huang | 3 | 10 | 13.31 |
| Huili Gong | 4 | 88 | 29.37 |