Results 71 to 80 of about 2,881 (187)
Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.Abstract Accurately predicting solute transport remains a central challenge in hydrogeology due to limited data and multiscale subsurface heterogeneity. Fractional Brownian motion (fBm) is widely used to model the logarithm of hydraulic conductivity fields.
Binhao Li +2 more
wiley +1 more source
Optimal designs for variogram estimation
Environmetrics, 1999 The variogram plays a central role in the analysis of geostatistical data. A valid variogram model is selected and the parameters of that model are estimated before kriging (spatial prediction) is performed. These inference procedures are generally based upon examination of the empirical variogram, which consists of average squared differences of data ...
Müller, Werner, Zimmerman, Dale L.
openaire +3 more sources
Analysis of Large Scale Spatial Variability of Soil Moisture Using a Geostatistical Method
Sensors, 2010 Spatial and temporal soil moisture dynamics are critically needed to improve the parameterization for hydrological and meteorological modeling processes.
Reza Khanbilvardi +5 more
doaj +1 more source
Accounting for Geometric Anisotropy in Sparse Magnetic Data Using a Modified Interpolation Algorithm
Remote SensingThe construction of a high-precision geomagnetic map is a prerequisite for geomagnetic navigation and magnetic target-detection technology. The Kriging interpolation algorithm makes use of the variogram to perform linear unbiased and optimal estimation ...
Haibin Li +11 more
doaj +1 more source
Providing a subsurface reservoir quality maps in oil fields by geostatistical methods
Geodesy and Cartography, 2013 Under study reservoir oilfield is located south-west of Iran. This field is comprised of naturally fractured Asmari and Bangestan formation. Reservoir management and characteristic evaluation of this field requires good knowledge of reservoir rock and ...
Hakimeh Amanipoor
doaj +1 more source
Kriging algorithm for mapping the gravimetric data in the north of Algeria
Geodetski VestnikThe purpose of this work is to analyze and validate the gravimetric information in the study area in order to highlight the valid data for mapping the gravity anomaly from a grid generated by interpolation. In this context, we have performed a first step
Ilies Benikhlef +2 more
doaj +1 more source
Automatic variogram inference using pre-trained Convolutional Neural Networks
Applied Computing and GeosciencesA novel approach is presented for inferring covariance functions from sparse data using Convolutional Neural Networks (CNNs). Two workflows are proposed: (1) direct prediction of variogram model parameters, and (2) prediction of experimental variogram ...
Mokdad Karim +2 more
doaj +1 more source
Optimal Information Acquisition under a Geostatistical Model
Journal of Agricultural and Resource Economics, 1999 Studies examining the value of switching to a variable rate technology (VRT) fertilizer program assume producers possess perfect soil nitrate information. In reality, producers estimate soil nitrate levels with soil sampling.
Gregory R. Pautsch +2 more
doaj +1 more source
The Spatial Distribution of Tree Dieback Affected by Mistletoe in Relation to their Crown Characteristics [PDF]
جغرافیا و پایداری محیط, 2016 1- Introduction One of the main problems in The Zagros Forests is oak trees dieback. What is really certain and important is the fact that the tree dieback crisis caused the declining of oak in oak forest of Zagros. Oak decline is characterized by crown
Erfan Boshkar +2 more
doaj
Geophysical Research LettersCold pools formed by precipitating convective clouds are an important source of mesoscale temperature variability. However, their sub‐mesoscale (100 m–10 km) structure has not been quantified, impeding validation of numerical models and understanding of ...
Leah D. Grant +7 more
doaj +1 more source