Show source-provided references
1. Research on the upward transport of vadose water based on isotope technology: A case study of mining subsidence area in shendong mining area
10.1007/s12145-025-01957-z ↗2. Delimiting supervision zones to inform the revision of land reclamation management modes in coal mining areas: A perspective from the succession characteristics of rehabilitated vegetation
10.1016/j.landusepol.2023.106729 ↗3. Research on typical soil physical properties in a mining area: Feasibility of three-dimensional ground penetrating radar detection
10.1007/s12665-021-09383-2 ↗4. Isotope tracers reveal plant-soil water dynamics in shendong mining area: Dryland hydrological and ecosystem recovery
10.1016/j.rhisph.2025.101176 ↗5. Stratified soil profiles and arbuscular mycorrhizal fungi reshape plant water use strategy and enhance root development in arid mine waste dump restoration
10.1016/j.rhisph.2025.101145 ↗7. Non-destructive detection of soil volumetric water content in reclaimed soils in an opencast coal mine using hyperbolic reflection in GPR images
10.1016/j.catena.2025.108845 ↗8. Soil hydraulic parameters estimation using ground penetrating radar data via ensemble smoother with multiple data assimilation
10.1016/j.jhydrol.2020.124552 ↗9. Li, K., Liao, Z., Ji, G., Liu, T., Yu, X., and Jiao, R. (2024). Estimation of the Soil Moisture Content in a Desert Steppe on the Mongolian Plateau Based on Ground-Penetrating Radar. Sustainability, 16.
10.3390/su16198558 ↗10. A Review of Advances in Dielectric and Electrical Conductivity Measurement in Soils Using Time Domain Reflectometry
10.2136/vzj2003.4440 ↗11. Estimating soil hydraulic conductivity from time-lapse ground-penetrating radar data in podzolic soils using the green-ampt model
10.1016/j.jhydrol.2025.133059 ↗14. Off- and on-ground GPR techniques for field-scale soil moisture mapping
15. Pairing dual-frequency GPR in summer and winter enhances the detection and mapping of coarse roots in the semi-arid shrubland in China
10.1111/ejss.12858 ↗16. Zhang, P., Wang, J., Jiang, L., Zhou, T., Yan, X., Yuan, L., and Chen, W. (2020). Influence Analysis and Stepwise Regression of Coal Mechanical Parameters on Uniaxial Compressive Strength Based on Orthogonal Testing Method. Energies, 13.
10.3390/en13143640 ↗17. Wu, K., Desesquelles, H., Cockenpot, R., Guyard, L., Cuisiniez, V., and Lambot, S. (2022). Ground-Penetrating Radar Full-Wave Inversion for Soil Moisture Mapping in Trench-Hill Potato Fields for Precise Irrigation. Remote Sens., 14.
10.3390/rs14236046 ↗18. Pongrac, B., and Gleich, D. (2023, January 11–13). Remote monitoring system based on cross-hole GPR and deep learning. Proceedings of the 2023 17th International Conference on Telecommunications (ConTEL), Graz, Austria.
10.1109/ConTEL58387.2023.10198933 ↗19. Monitoring and characterization of water infiltration in soil unsaturated zone through an integrated geophysical approach
10.1016/j.catena.2023.107243 ↗20. Estimation of Surface Soil Moisture by a Multi-Elevation UAV-Based Ground Penetrating Radar
10.1029/2022WR032621 ↗21. Noninvasive 2D and 3D Mapping of Root Zone Soil Moisture Through the Detection of Coarse Roots With Ground-Penetrating Radar
10.1029/2019WR026930 ↗23. Qiao, H., Zhang, M., and Bano, M. (2025). Harris hawks optimization for soil water content estimation in ground-penetrating radar waveform inversion. Remote Sens., 17.
10.3390/rs17081436 ↗24. Li, Z., Zeng, Z., Xiong, H., Lu, Q., An, B., Yan, J., Li, R., Xia, L., Wang, H., and Liu, K. (2023). Study on Rapid Inversion of Soil Water Content from Ground-Penetrating Radar Data Based on Deep Learning. Remote Sens., 15.
10.3390/rs15071906 ↗25. Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends
10.1016/j.autcon.2023.105185 ↗26. Application research of autoregressive and moving average power spectrum in mine ground-penetrating radar structure detection data analysis
10.1111/1365-2478.13364 ↗27. Application of the ground penetrating radar ARMA power spectrum estimation method to detect moisture content and compactness values in sandy loam
10.1016/j.jappgeo.2015.06.006 ↗28. Soil moisture estimation based on GPR power spectrum and envelope amplitude in sand loam