56 citations as recorded by crossref.

1. Three-dimensional bedrock implicit modeling and uncertainty quantification from sparse geological map data W. Lv & X. Liu https://doi.org/10.1016/j.jsg.2026.105627
2. From knowledge into action: The launching of the state-wide airborne electromagnetic project in California R. Knight https://doi.org/10.1190/tle-2025-1052
3. Geo-constrained clustering of resistivity data revealing the heterogeneous lithological architectures and the distinctive geoelectrical signature of shallow deposits P. Ciampi et al. https://doi.org/10.1016/j.enggeo.2024.107589
4. A novel approach to comparing AEM inversion results with borehole conductivity logs N. Christensen & K. Lawrie https://doi.org/10.1071/EG17029
5. Exploring the Model Space of Airborne Electromagnetic Data to Delineate Large‐Scale Structure and Heterogeneity Within an Aquifer System S. Kang et al. https://doi.org/10.1029/2021WR029699
6. The importance of subsurface drainage on model performance and water balance in an agricultural catchment using SWAT and SWAT-MODFLOW R. Rumph Frederiksen & E. Molina-Navarro https://doi.org/10.1016/j.agwat.2021.107058
7. Influence of spatial borehole density on estimation of geostatistical properties and construction of heterogeneous hydrogeological models D. Tran et al. https://doi.org/10.1016/j.enggeo.2025.107991
8. Automatic stochastic 3D clay fraction model from tTEM survey and borehole data A. Neven et al. https://doi.org/10.1038/s41598-022-21555-z
9. Alleviating interpretational ambiguity in hydrogeology through clustering-based analysis of transient electromagnetic and surface nuclear magnetic resonance data M. Vang et al. https://doi.org/10.5194/hess-29-5315-2025
10. A Regional Scale Hydrostratigraphy Generated from Geophysical Data of Varying Age, Type, and Quality T. Vilhelmsen et al. https://doi.org/10.1007/s11269-018-2115-1
11. Recharge site assessment through the integration of surface geophysics and cone penetrometer testing M. Goebel & R. Knight https://doi.org/10.1002/vzj2.20131
12. Helicopter-borne transient electromagnetics in high-latitude environments: An application in the McMurdo Dry Valleys, Antarctica N. Foley et al. https://doi.org/10.1190/geo2015-0186.1
13. Evaluating the chain of uncertainties in the 3D geological modelling workflow A. Høyer et al. https://doi.org/10.1016/j.enggeo.2024.107792
14. Constructing the resistivity-to-sediment-type transform for the interpretation of airborne electromagnetic data N. Dewar & R. Knight https://doi.org/10.1190/geo2020-0831.1
15. Airborne and ground geophysical mapping of coastal clays in Eastern Friesland, Germany B. Siemon et al. https://doi.org/10.1190/geo2014-0102.1
16. Anthropogenic wetlands due to over-irrigation of desert areas: a challenging hydrogeological investigation with extensive geophysical input from TEM and MRS measurements A. Behroozmand et al. https://doi.org/10.5194/hess-21-1527-2017
17. 3D hydrostratigraphic and hydraulic conductivity modelling using supervised machine learning T. Tilahun & J. Korus https://doi.org/10.1016/j.acags.2023.100122
18. Performance evaluation of groundwater model hydrostratigraphy from airborne electromagnetic data and lithological borehole logs P. Marker et al. https://doi.org/10.5194/hess-19-3875-2015
19. A conditioned Latin hypercube sampling design methodology for ground-truthing transient EM resistivity models G. Osterman et al. https://doi.org/10.1016/j.cageo.2024.105582
20. Combining 3D geological modelling techniques to address variations in geology, data type and density – An example from Southern Denmark F. Jørgensen et al. https://doi.org/10.1016/j.cageo.2015.04.010
21. 3D geological modelling of a complex buried-valley network delineated from borehole and AEM data A. Høyer et al. https://doi.org/10.1016/j.jappgeo.2015.09.004
22. Assessing groundwater denitrification spatially is the key to targeted agricultural nitrogen regulation B. Hansen et al. https://doi.org/10.1038/s41598-024-55984-9
23. Mapping freshwater lenses with TEM and SNMR: Case studies from Saloum region, Senegal M. Griffiths et al. https://doi.org/10.1190/geo-2025-0109
24. Groundwater Mapping and Modeling Using Towed Transient Electromagnetic Data Based on Deep Learning J. Xian et al. https://doi.org/10.1109/TGRS.2024.3509526
25. Three-dimensional geological modelling of AEM resistivity data — A comparison of three methods A. Høyer et al. https://doi.org/10.1016/j.jappgeo.2015.02.005
26. Assessment of Managed Aquifer Recharge Sites Using a New Geophysical Imaging Method A. Behroozmand et al. https://doi.org/10.2136/vzj2018.10.0184
27. Hydrofacies simulation based on transition probability geostatistics using electrical resistivity tomography and borehole data L. Ma et al. https://doi.org/10.1007/s10040-022-02539-9
28. Perspectives on constructing and generalizing groundwater database Y. SAKATA et al. https://doi.org/10.5917/jagh.67.7
29. Combining Clustering Methods With MPS to Estimate Structural Uncertainty for Hydrological Models T. Vilhelmsen et al. https://doi.org/10.3389/feart.2019.00181
30. Multiple-point statistical modeling of three-dimensional glacial aquifer heterogeneity for improved groundwater management N. Kawo et al. https://doi.org/10.1007/s10040-023-02658-x
31. Integrated geophysical and unsupervised machine learning approach for 3D geological modeling of a limestone-gypsum deposit in Algeria: insights from borehole and resistivity data Y. Cheikhaoui et al. https://doi.org/10.1007/s13146-025-01122-z
32. Testing alternative uses of electromagnetic data to reduce the prediction error of groundwater models N. Christensen et al. https://doi.org/10.5194/hess-20-1925-2016
33. Modeling induced polarization effects in helicopter time-domain electromagnetic data: Field case studies V. Kaminski & A. Viezzoli https://doi.org/10.1190/geo2016-0103.1
34. Integrated Airborne Geophysical Data for Mapping Saltwater in the Mississippi River Valley alluvial Aquifer, Northeast Louisiana M. Attia & F. Tsai https://doi.org/10.1016/j.jhydrol.2024.131877
35. Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross sections Q. Chen et al. https://doi.org/10.5194/hess-22-6547-2018
36. Joint estimation of groundwater salinity and hydrogeological parameters using variable-density groundwater flow, salt transport modelling and airborne electromagnetic surveys J. King et al. https://doi.org/10.1016/j.advwatres.2021.104118
37. Generation of 3‐D hydrostratigraphic zones from dense airborne electromagnetic data to assess groundwater model prediction error N. Christensen et al. https://doi.org/10.1002/2016WR019141
38. New perspectives on Solid Earth Geology from Seismic Texture to Cooperative Inversion C. Le et al. https://doi.org/10.1038/s41598-019-50109-z
39. Semantic rule-guided three-dimensional reservoir modeling method using an improved multiple-point geostatistics simulation Q. Chen et al. https://doi.org/10.3389/feart.2026.1766398
40. The effect of power lines on time-domain airborne electromagnetic data S. Kang et al. https://doi.org/10.1190/geo2020-0089.1
41. Airborne geophysical method images fast paths for managed recharge of California’s groundwater R. Knight et al. https://doi.org/10.1088/1748-9326/aca344
42. Compiling a national resistivity atlas of Denmark based on airborne and ground-based transient electromagnetic data A. Barfod et al. https://doi.org/10.1016/j.jappgeo.2016.09.017
43. Uncovering the gaps in managed aquifer recharge for sustainable groundwater management: A focus on hillslopes and mountains M. Meles et al. https://doi.org/10.1016/j.jhydrol.2024.131615
44. Texture2Par: A texture-driven tool for estimating subsurface hydraulic properties L. Scantlebury et al. https://doi.org/10.1016/j.envsoft.2025.106372
45. Horizon-assisted lithologic modeling: understanding Mississippi Embayment and Coastal Lowlands aquifer systems in Louisiana and southwestern Mississippi, USA S. Yang et al. https://doi.org/10.1007/s10040-024-02804-z
46. Probabilistic predictions using a groundwater model informed with airborne EM data P. Marker et al. https://doi.org/10.1016/j.advwatres.2017.03.002
47. Quantifying model structural uncertainty using airborne electromagnetic data B. Minsley et al. https://doi.org/10.1093/gji/ggaa393
48. Hydraulic conductivity estimation and lithological classification of an esker aquifer system using surface electrical resistivity surveys and a neural network G. Oldenborger & D. Paradis https://doi.org/10.1016/j.jappgeo.2023.105106
49. Smart Interpretation – automatic geological interpretations based on supervised statistical models M. Gulbrandsen et al. https://doi.org/10.1007/s10596-017-9621-8
50. Multi-lithofacies alluvial characterization via airborne electromagnetic-borehole fusion using ordinary interval kriging and geologic constraints Y. Song et al. https://doi.org/10.1016/j.jhydrol.2025.134209
51. N-Map: High-resolution groundwater N-retention mapping and modelling by integration of geophysical, geological, geochemical, and hydrological data A. Christiansen et al. https://doi.org/10.1016/j.jenvman.2023.118126
52. Estimation of the top of the saturated zone from airborne electromagnetic data N. Dewar & R. Knight https://doi.org/10.1190/geo2019-0539.1
53. A probabilistic approach to establishing the resistivity-lithology relationship using co-located tTEM data and lithological logs S. Nielsen et al. https://doi.org/10.1016/j.jappgeo.2026.106245
54. A 3D hydrogeochemistry model of nitrate transport and fate in a glacial sediment catchment: A first step toward a numerical model H. Kim et al. https://doi.org/10.1016/j.scitotenv.2021.146041
55. Regional flow in a complex coastal aquifer system: Combining voxel geological modelling with regularized calibration R. Meyer et al. https://doi.org/10.1016/j.jhydrol.2018.05.020
56. 3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures R. Madsen et al. https://doi.org/10.5194/hess-25-2759-2021