Potential of ASAR/ENVISAT for the characterization of soil surface parameters over bare agricultural fields - INSU - Institut national des sciences de l'Univers Access content directly
Journal Articles Remote Sensing of Environment Year : 2005

Potential of ASAR/ENVISAT for the characterization of soil surface parameters over bare agricultural fields

Abstract

The objective of this investigation is to analyze the sensitivity of ASAR (Advanced Synthetic Aperture Radar) data to soil surface parameters (surface roughness and soil moisture) over bare fields, at various polarizations (HH, HV, and VV) and incidence angles (20°–43°). The relationships between backscattering coefficients and soil parameters were examined by means of 16 ASAR images and several field campaigns. We have found that HH and HV polarizations are more sensitive than VV polarization to surface roughness. The results also show that the radar signal is more sensitive to surface roughness at high incidence angle (43°). However, the dynamics of the radar signal as a function of soil roughness are weak for root mean square (rms) surface heights between 0.5 cm and 3.56 cm (only 3 dB for HH polarization and 43° incidence angle). The estimation of soil moisture is optimal at low and medium incidence angles (20°–37°). The backscattering coefficient is more sensitive to volumetric soil moisture in HH polarization than in HV polarization. In fact, the results show that the depolarization ratio σHH0/σHV0 is weakly dependent on the roughness condition, whatever the radar incidence. On the other hand, we observe a linear relationship between the ratio σHH0/σHV0 and the soil moisture. The backscattering coefficient ratio between a low and a high incidence angle decreases with the rms surface height, and minimizes the effect of the soil moisture.
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Dates and versions

hal-00077118 , version 1 (29-05-2006)

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Noha Holah, Nicolas Baghdadi, Mehrez Zribi, Ary Bruand, Christine King. Potential of ASAR/ENVISAT for the characterization of soil surface parameters over bare agricultural fields. Remote Sensing of Environment, 2005, 96 (1), pp.(1) 78-86. ⟨10.1016/j.rse.2005.01.008⟩. ⟨hal-00077118⟩
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