Evaluating an Improved Parameterization of the Soil Emission in L-MEB

• Published in: IEEE transactions on geoscience and remote sensing Vol. 49; no. 4; pp. 1177 - 1189
• Main Authors: Wigneron, J, Chanzy, A, Kerr, Y H, Lawrence, H, Jiancheng Shi, Escorihuela, M J, Mironov, V, Mialon, A, Demontoux, F, de Rosnay, P, Saleh-Contell, K
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-04-2011; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Accuracy; Algorithms; Calibration; Earth Sciences; Electromagnetism; Engineering Sciences; Geophysical measurements; Geophysics; L-band; Marine; Mathematical models; Microwave emission; Microwave remote sensing; Parametrization; Physics; radiometry; Recreational vehicles; Rough surfaces; Roughness; Sciences of the Universe; Soil; Soil (material); Soil measurements; soil moisture (SM); Soil Moisture and Ocean Salinity (SMOS); soil surface; Standard deviation; Studies; Surface roughness; Temperature measurement; Geophysical measurements; soil surface; Surface roughness; Rough surfaces; Soil Moisture and Ocean Salinity (SMOS); soil moisture (SM); L-band; Temperature measurement; Soil measurements; roughness; radiometry; Soil; Microwave remote sensing
• ISSN: 0196-2892; 1558-0644
• DOI: 10.1109/TGRS.2010.2075935

In the forward model [L-band microwave emission of the biosphere (L-MEB)] used in the Soil Moisture and Ocean Salinity level-2 retrieval algorithm, modeling of the roughness effects is based on a simple semiempirical approach using three main "roughness" model parameters: HR, QR, and NR. In many studies, the two parameters QR and NR are set to zero. However, recent results in the literature showed that this is too approximate to accurately simulate the microwave emission of the rough soil surfaces at L-band. To investigate this, a reanalysis of the PORTOS-93 data set was carried out in this paper, considering a large range of roughness conditions. First, the results confirmed that QR could be set to zero. Second, a refinement of the L-MEB soil model, considering values of NR for both polarizations (namely, N RV and N RH ), improved the model accuracy. Furthermore, simple calibrations relating the retrieved values of the roughness model parameters HR and (N RH - N RV ) to the standard deviation of the surface height were developed. This new calibration of L-MEB provided a good accuracy (better than 5 K) over a large range of soil roughness and moisture conditions of the PORTOS-93 data set. Conversely, the calibrations of the roughness effects based on the Choudhury approach, which is still widely used, provided unrealistic values of surface emissivities for medium or large roughness conditions.