Results 71 to 80 of about 2,754 (181)

Inferring Cenozoic Cover Thickness and Bedrock Sedimentary Material in 3D From Geophysical Data Using Machine Learning Algorithms: A Case Study in the Lockington Region, Victoria, Australia

Earth and Space Science, Volume 13, Issue 3, March 2026.
Abstract This study presents a supervised machine learning approach to constructing a 3D geological model for the Lockington area in Victoria, Australia, by integrating borehole observations, geophysical surveys (magnetic, gravity, and radiometric), and elevation data.
Limin Xu, Eleanor C. R. Green, Mark A. McLean   +2 more
wiley   +1 more source

Global Bottomside Ionospheric Modeling Based on GNSS‐RO Observations From the Tianmu‐1 Constellation

Space Weather, Volume 24, Issue 3, March 2026.
Abstract Radio occultation (RO) observations provide a crucial means for estimating the global Vertical Bottomside Electron Content (VBEC) in the ionosphere. However, the limited number of low Earth orbit (LEO) satellites in existing RO missions restricts the capability for high‐precision reconstruction of global VBEC spatiotemporal variations.
Linghuo Jian, Xiaodong Ren, Yingchuan Yang, Xuan Le, Xiaohong Zhang   +4 more
wiley   +1 more source

Variogram Time Series Analysis Applied to the Spatial Structure of Snow Accumulation

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract The correlation of earth system properties is important for assessing monitoring strategies, determining scales of modeling, and improving forecasting capabilities. We present a new method to examine the spatial scale of inter‐annual patterns from time series data.
Steven R. Fassnacht, Juan Ignacio López‐Moreno, David M. Barnard, Enrique Morán‐Tejeda, Ryan W. Webb, Benjamin C. Von Thaden, Anna K. D. Pfohl, Antonio‐Juan Collados‐Lara, Marin S. MacDonald, Helen Flynn, Molly E. Tedesche   +10 more
wiley   +1 more source

Accounting for Geometric Anisotropy in Sparse Magnetic Data Using a Modified Interpolation Algorithm

Remote Sensing
The 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, Qi Zhang, Mengchun Pan, Dixiang Chen, Zhongyan Liu, Liang Yan, Yujing Xu, Zengquan Ding, Ziqiang Yu, Xu Liu, Ke Wan, Weiji Dai   +11 more
doaj   +1 more source

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, Thomas H. Vonder Haar, Manajit Sengupta, Cynthia L. Combs, Andrew S. Jones, Tarendra Lakhankar   +5 more
doaj   +1 more source

Improving Heterogeneous Aquifer Characterization Using a Deep Learning‐Based Ensemble Smoother With a Hybrid Prior Strategy

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Accurate characterization of aquifer hydraulic properties is crucial for groundwater resource management and pollution control. Most traditional inverse methods for aquifer characterization rely on unbiased prior assumptions to make robust estimation; however, real‐world applications frequently involve biased priors that can significantly ...
Chenglong Cao, Jiangjiang Zhang, Fenghua You, Tongchao Nan, Jina Yin, Chunhui Lu   +5 more
wiley   +1 more source

Kriging algorithm for mapping the gravimetric data in the north of Algeria

Geodetski Vestnik
The 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, Abderrahmane Senoussaoui, Sid Ahmed Benahmed Daho   +2 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

Integrating Deep Learning and Distance‐Based Clustering to Optimize the Field Scale In Situ Uranium Leaching System in Heterogeneous Reservoirs

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Utilization of the integrated simulation‐optimization models for supporting decisions of the in situ leaching (ISL) design of uranium (U) mining is often hampered by the physicochemical heterogeneity within the sandstone reservoirs. Nevertheless, the conventional way suffers from a high conceptual uncertainty due to almost ubiquitous ...
Wenjie Qiu, Dianguang Liu, Yun Yang, Jian Song, Weimin Que, Zhengbang Liu, Haicheng Weng, Jianfeng Wu, Jichun Wu   +8 more
wiley   +1 more source

Latent Data Assimilation for Efficient and Accurate Groundwater Modeling

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Groundwater model predictions are often inaccurate due to uncertainties in model structure, heterogeneous parameters, and initial conditions, leading to error accumulation during simulations. Traditional data assimilation (DA) faces severe computational challenges in high‐dimensional systems due to the costly inversion of large covariance ...
Yongda Liu, Xi Chen, Zitao Wang, Jianzhi Dong   +3 more
wiley   +1 more source