Geostatistical methods such as simple, ordinary, and universal kriging are not multivariate models in the usual statistical function. Notwithstanding, techniques utilize random function that include unlimited variables while modeling one attribute. The cokriging technique is a estimation method can simultaneously model two or more attributes, defined with same domains coregionalization. ...

Uncertainty quantification (UQ) has recently become an important part of the design process countless engineering applications. However, up to now in computational fluid dynamics (CFD) errors introduced by turbulent viscosity models Reynolds-Averaged Navier Stokes (RANS) have often been neglected UQ studies. Although Direct Numerical Simulations (DNS) are physically correct, obtaining a large e...

Surface fuel loading is a key factor in controlling wildfires and planning sustainable forest management. Spatially explicit maps of surface can highlight the risks fire. Geospatial information critical enabling careful use deliberate fire setting also helps to minimize possibility heat conduction over lands. In contrast lidar sensing and/or optical based methods, an approach integrating in-sit...

Precipitation has a strong and constant impact on different economic sectors, environment social activities all over the world. An increasing interest for monitoring estimating precipitation characteristics can be claimed in last decades. However, some areas, ground-based network is still sparse spatial data coverage insufficiently addresses needs. In decades, interpolation methods provide an e...

The Colombian Biogeographic Choco (CBC) and the La Plata Basin (LPB) are regions with high biodiversity. However, these areas characterized by scarce climatological information, complex orography, rain-gauge network unevenly distributed. Interpolated data from ground station might overcome aspects. For this reason, is necessary to identify best technique for spatial interpolation of rainfall. H...

Soil erosion is a global issue that threatens food security and causes environmental degradation. Management of water erosion requires accurate estimates of the spatial and temporal variations in the erosive power of rainfall (erosivity). Rainfall erosivity can be estimated from rain gauge stations and satellites. However, the time series rainfall data that has a high temporal resolution are of...

[1] This study presents a stochastic inverse method for aquifer structure identification using sparse geophysical and hydraulic response data. The method is based on updating structure parameters from a transition probability model to iteratively modify the aquifer structure and parameter zonation. The method is extended to the adaptive parameterization of facies hydraulic parameters by includi...

Geostatistics is used in soil science to map spatial distributions of soil properties from limited samples. Covariance models provide the basic measure of spatial continuity which is used to weight the information available at different sample locations, as in kriging. Traditionally, a closed-form analytical model is fitted to allow for interpolation of sample covariance values while ensuring t...

BACKGROUND Local timber is still one of the main sources of work and income for mountain communities. However, illegal logging is a major cause of deforestation in many countries and has significant impacts on local communities and biodiversity. Techniques for tracing timber would provide a useful tool to protect local timber industries and contribute to the fight against illegal logging. Altho...