Comparison of two retrieval methods with combined passive and active microwave remote sensing observations for soil moisture
The brightness temperature (BT) and backscattering coefficient (BSC) measured simulta-neously 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 differ-ence 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 NASAs (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.
AMSR-E QuikSCAT/Seawinds Soil moisture Surface temperature Roughness
Qin Li Ruofei Zhong Jianxi Huang Huili Gong
Key Lab of 3D Information Acquisition and Application. Capital Normal University, Beijing 100048, PR School of Information and Electrical Engineering, China Agricultural University, Beijing 100083, PR
国际会议
南昌
英文
1181-1193
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）