Soil moisture content is a parameter of major importance for land applications at both watershed and regional scale such as hydrology and agriculture. In the past, a vast number of experimental and theoretical studies relating radar measurements to soil and vegetation parameters have been conducted. Such studies have widely demonstrated the sensitivity of Synthetic Aperture Radar (SAR) measurem...

This study provides results for the optimization strategy of highly parameterized models, especially with a high number of unknown input parameters and joint problems in terms of sufficient parameter space. Consequently, the uncertainty in model parameterization and measurements must be considered when highly variable nitrogen losses, e.g. N leaching, are to be predicted. The Bayesian calibrati...

Data assimilation (DA) methods are commonly used for finding a compromise between imperfect observations and uncertain model predictions. The estimation of model states and parameters has been widely recognized, but the convergence of estimated parameters has not been thoroughly investigated. The distribution of model state and parameter values is closely linked to convergence, which in turn im...

Soil physic-chemical properties differ at different depths; however, differences in afforestation-induced temporal changes at different soil depths are seldom reported. By examining 19 parameters, the temporal changes and their interactions with soil depth in a large chronosequence dataset (159 plots; 636 profiles; 2544 samples) of larch plantations were checked by multivariate analysis of cova...

in order to quantify and simulate the response of lemon balm (melissa officinalis l.) plants to cadmium (cd) concentrations in the soil, a pot experiment was conducted using completely randomized design (crd) with three replicates during 2014. the treatment consisted of twelve cd concentrations from 0 to 300 mg kg-1 of cd in the soil which was mixed with the experimental soil before planting. l...

In this paper, a procedure for the retrieval of the soil moisture values from SAR measurements, based on a Bayesian approach, is shown. This method offers a rigorous probabilistic framework to face up to the inversion problem. The followed procedure consisted first in evaluating the discrepancies between an analytical e.m. model simulations and the measured backscattering data useful for the ca...

The Pantanal is a biodiversity hotspot comprised of a mosaic of landforms that differ in vegetative assemblages and flooding dynamics. Tree islands provide refuge for terrestrial fauna during the flooding period and are particularly important to the regional ecosystem structure. Little soil CO₂ research has been conducted in this region. We evaluated soil CO₂ dynamics in relation to primary con...

The shear strength parameters of soil such as cohesion (C) and angle of internal friction (φ )govern the bearing capacity of shallow or deep foundations, the stability of the hill slopes as well as slopes of dams and embankments, design of retaining structures etc. in most of the civil engineering practices. In this study, artificial neural network (ANN) with the feed-forward back-propagation a...

abstract surface soil shear strength is an effective parameter in soil erosion and runoff modeling, and known as soil erodibility index. this study was conducted to investigate and predict soil shear strength in central zagros region using multiple linear regressions (mlr). the study site was selected in rangeland and degraded-rangeland landuse with an area of 23562 ha. based on the maps of geo...