Niko E. C. Verhoest

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Radar remote sensing has shown its potential for retrieving soil moisture from bare soil surfaces. Since the backscattering process is also determined by the soil roughness , the characterisation of the roughness is crucial for an accurate soil moisture retrieval. However, several field experiments have shown a large variability of the roughness parameters.(More)
—It is widely recognized that Synthetic Aperture Radar (SAR) data are a very valuable source of information for the modeling of the interactions between the land surface and the atmosphere. During the last couple of decades, most of the research on the use of SAR data in hydrologic applications has been focused on the retrieval of land and biogeophysical(More)
—Soil roughness plays an essential role in the reflection of the incoming radar signal at the soil surface and is, therefore, highly important in the retrieval of the soil moisture information from the backscattered radar signal. However, soil roughness, generally described by means of the root mean square (rms) height and the correlation length, remains(More)