Abstract
The purpose of this paper is to simulate the backscattered signal by experimental data and field working then, comparing with the backscattered signal from actual L-band SAR data over arid to semi-arid environments. The experimental data included the laboratory-measured dielectric constant of soil samples and the roughness parameter. A backscattering model used to simulate the backscattering coefficient in sparse vegetation land cover. The backscattering coefficient (σ0) simulated using the AIEM (advanced integral equation model) based on the experimental data. The roughness data were considered by the field observation, chain method measuring and photogrammetry simulation technique by stereo image of ground real photography. The simulated backscattering coefficients were compared with the real extracted backscattering coefficient (σ0) from the ALOS PALSAR single and dual polarization mode data. The most problem in backscattering simulation was the vegetation water content. Therefore, the water-cloud model using the water index result of optical data applied on the simulated backscatter model for enhancement the backscattering heterogeneity from vegetation water contents due to the mix pixel of vegetation in spars vegetation. At the results the AIEM model overestimated the backscattering simulation, it might be cause of high sensitivity of this model to roughness. The ALOS PALSAR HV polarization mode is more sensitive than the HH mode to vegetation water content. The water-cloud model could improve the result and the correlation function of the samples was increased but, the difficulties were the input the A and B parameters to model.
Highlights
A numbers of radar backscattering models have been reported in the past several years
The backscattering coefficients of the ALOS PALSAR images after speckle noise removing and radiation calibration for conversion in dB were extracted according to the coordinates of ground truth samples for comparison
The most result of this research is focus on backscattering simulation using experiment data and its characteristics over sparse vegetation of land cover in arid environment
Summary
A numbers of radar backscattering models have been reported in the past several years. The backscattering model in literature developed to estimate the soil surface parameter Those of them most frequently used by other researcher included the two semi-empirical models by Oh et al [1]-[4], and Dubois et al [5] and the physical model the Integral Equation Model (IEM) developed by Fung et al [6]. These models are supposed to regenerate the radar backscattering coefficient (σ) by forward model. The advanced integral equation model (AIEM) proposed by Fung et al, [15]
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