Abstract—Vegetation affects the mean and turbulent flow structure. It may increase flood risks and sediment transport. Therefore, it is important to develop analytical approaches for the bed shear stress on vegetated bed, to predict resistance caused by vegetation. In the recent years, experimental and numerical models have both been developed to model the effects of submerged vegetation on ope...

Most of the approaches to retrieve surface soil moisture (SSM) by optical and thermal infrared (TIR) spectroscopies are purposed calculate various characteristic bands/indices then establish regression relationship between them in combination with measurement data. However, due combined impact many factors, often shows nonlinearity. Moreover, single temporal image measured data not transplantab...

Soil moisture was assessed with quad-polarimetric TerraSAR-X and dual-polarimetric (HH/VV) TanDEM-X data from the agricultural region of Wallerfing, Germany. The investigations included a bare soil case in April 2009 (TerraSAR-X) and a time series of 04-07/2011 (TanDEM-X) to estimate soil moisture on bare and vegetated soils including different agricultural crop types at various phenological st...

We determine the soil iron content in a semiarid region of Spain using airborne imaging, field and laboratory based spectroscopy. By assessing the influence of vegetation fractional and fully covered areas are separated for specific analysis each. The derived distribution of soil iron content is spatially discontinuous so spatially discontinuous quality indicators are assigned depending on the ...

Mapping of landslides, quickly providing information about the extent of the affected area and type and grade of damage, is crucial to enable fast crisis response, i.e., to support rescue and humanitarian operations. Most synthetic aperture radar (SAR) data-based landslide detection approaches reported in the literature use change detection techniques, requiring very high resolution (VHR) SAR i...

1  Abstract— A simple approach for correcting the effect of vegetation in the estimation of the surface soil moisture (w S) from L-band passive microwave observations is presented in this study. The approach is based on semi-empirical relationships between soil moisture and the polarized reflectance including the effect of the vegetation optical depth which is parameterized here as a function ...