Abstract

The spatial sampling interval, as related to the ability to digitize a soil profile with a certain number of features per unit length, depends on the profiling technique itself. From a variety of profiling techniques, roughness parameters are estimated at different sampling intervals. Since soil profiles have continuous spectral components, it is clear that roughness parameters are influenced by the sampling interval of the measurement device employed. In this work, we contributed to answer which sampling interval the profiles needed to be measured at to accurately account for the microwave response of agricultural surfaces. For this purpose, a 2-D laser profiler was built and used to measure surface soil roughness at field scale over agricultural sites in Argentina. Sampling intervals ranged from large (50 mm) to small ones (1 mm), with several intermediate values. Large- and intermediate-sampling-interval profiles were synthetically derived from nominal, 1 mm ones. With these data, the effect of sampling-interval-dependent roughness parameters on backscatter response was assessed using the theoretical backscatter model IEM2M. Simulations demonstrated that variations of roughness parameters depended on the working wavelength and was less important at L-band than at C- or X-band. In any case, an underestimation of the backscattering coefficient of about 1-4 dB was observed at larger sampling intervals. As a general rule a sampling interval of 15 mm can be recommended for L-band and 5 mm for C-band.

Highlights

  • It is well-established the importance of accurately accounting for surface roughness conditions over agricultural lands as a requirement for retrieving near-surface soil moisture from microwave remotely-sensed Synthetic Aperture Radar (SAR) images

  • Surface roughness is induced in tillage activities by a variety of implements used for different purposes

  • The effect of sampling-interval-dependent roughness paramIn this paper, we contributed to answering the question of which sampling interval the profiles needed to be measured at to accurately account for the microwave response of agricultural surfaces

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Summary

Introduction

It is well-established the importance of accurately accounting for surface roughness conditions over agricultural lands as a requirement for retrieving near-surface soil moisture from microwave remotely-sensed Synthetic Aperture Radar (SAR) images. This soil roughness can be considered as the stochastic varying height of the soil surface towards a reference surface [3] (Volume II). This reference surface can be the unperturbed surface of a periodic pattern or can be the mean surface if only random variations exist. In dealing with microwave remote sensing a range of surface roughness components are involved in the scattering response of agricultural lands. Roughness can be considered as the sum of different soil components corresponding to different scales [4]:

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