Results 71 to 80 of about 3,258 (185)

Bayesian Full‐Waveform Monitoring of CO2 Storage With Fluid‐Flow Priors via Generative Modeling

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Quantitative monitoring of subsurface changes is essential for ensuring the safety of geological CO2 ${\text{CO}}_{2}$ sequestration. Full‐waveform monitoring (FWM) can resolve these changes at high spatial resolution, but conventional deterministic inversion lacks uncertainty quantification and incorporates only limited prior information ...
Haipeng Li   +3 more
wiley   +1 more source

Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Production

open access: yesFloresta e Ambiente
The aim of this study was to apply geostatistics to predict the spatial pattern of variations in moisture content of eucalyptus wood chip piles to generate subsidies for adequate sampling and material handling.
Larissa Benassi Valentim   +8 more
doaj   +1 more source

RS‐FloodXDepth: Enhancing Remote Sensing‐Derived Flood Extent and Estimating Flood Depth Using a Hydrologically Guided Region‐Growing Method and High‐Resolution DEMs

open access: yesWater Resources Research, Volume 62, Issue 6, June 2026.
Abstract Remote sensing imagery is widely utilized for mapping flood extents. However, sensor limitations and environmental conditions often reduce mapping capability. Factors such as obscuring clouds, terrain shadows, and dense tree canopies frequently lead to significant information gaps and omission errors, particularly in forests and urban areas ...
D. Tian   +4 more
wiley   +1 more source

Bayesian Geostatistical Design

open access: yesScandinavian Journal of Statistics, 2006
A Bayesian approach is described to the prediction of a spatial surface \(S\) over a region \(A\) using data which consist of imperfect measurements \(Y_i\) at a finite collection of sampling locations \(x_i\): \(\mathbf{E}[Y_i]=S(x_i)\). The retrospective design (in which locations are to be deleted from or added to an existing design) and perspective
Diggle, P, Lophaven, S
openaire   +3 more sources

Crop-management factor calculation using weights of spatio-temporal distribution of rainfall erosivity

open access: yesSoil and Water Research, 2018
Inappropriate integration of USLE or RUSLE equations with GIS tools and Remote Sensing (RS) data caused many simplifications and distortions of their original principles. Many methods of C and R factor estimation were developed due to the lack of optimal
Jiří BRYCHTA   +2 more
doaj   +1 more source

Three‐Dimensional Analysis of Heat Tracer Transport With High‐Resolution Subsurface Heterogeneity Characterization in a Complex Aquifer System

open access: yesWater Resources Research, Volume 62, Issue 6, June 2026.
Abstract Accurate predictions of tracer transport in complex aquifer systems remain a formidable challenge, primarily owing to the spatial heterogeneity of hydraulic conductivity (K). Here, we conducted a forced‐gradient heat tracer test within a highly heterogeneous glaciofluvial deposit, injecting chilled water and monitoring temperature at depth ...
Chenxi Wang   +6 more
wiley   +1 more source

Mapping the topsoil pH and humus quality of forest soils in the North Bohemian Jizerské hory Mts. region with ordinary, universal, and regression kriging: cross-validation comparison

open access: yesSoil and Water Research, 2013
North Bohemia belongs to one of the most heavily industrialized and polluted regions in Europe. The enormous acid deposition which culminated in the 1970s has largely contributed to the accelerated acidification process in the soils and consequently to ...
Radim VAŠÁT   +4 more
doaj   +1 more source

Cross‐Dimensional Generative Adversarial Networks (CDGAN) Geomodeling: Bridging 2D Geological Figures and 3D Reservoir Modeling

open access: yesWater Resources Research, Volume 62, Issue 6, June 2026.
Abstract Generative adversarial networks (GANs) have proven effective in simulating complex reservoir environments, such as meandering channels and deltas. In classic GANs, the dimensionality of training data determines that of generated data: a 2D (or 3D) reservoir facies simulator (generator) requires training with corresponding 2D (or 3D) data sets.
Xun Hu   +4 more
wiley   +1 more source

Laboratory of Geospatial Analysis (LAGE): some current research projects on hydrology and hydrographic basin.

open access: yesRevista Tecnologia, 2009
This work presents some of the research developed by the Laboratory of Geospatial Analysis (LAGE). This laboratory has developed large expertise in the area of hydrology and hydrographic basin at the different scales.
Silvio Jorge Coelho Simões   +1 more
doaj  

Geostatistics

open access: yesJournal of the Agricultural Engineering Society, Japan, 1999
Jean‐Paul Chilès, Pierre Delfiner
  +5 more sources

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