GNGTS 2024 - Atti del 42° Convegno Nazionale

Session 3.3 GNGTS 2024 References Auken, E., Foged, N., Larsen, J. J., Lassen, K. V. T., Maurya, P. K., Dath, S. M., & Eiskjær, T. T. (2019). tTEM — A towed transient electromagnetc system for detailed 3D imaging of the top 70 m of the subsurface. Geophysics , 84 (1), E13–E22. Colombo, D., Turkoglu, E., Li, W., Curiel, E. S., & Roveta, D. (2021). Physics-driven deep-learning inversion with applicaton to transient electromagnetcs. Geophysics , 86 (3), E209–E224. Chen, J., Zhang, Y., & Lin, T. T. (2022). Transient electromagnetc machine learning inversion based on pseudo wave feld data. IEEE Transactons on Geoscience & Remote Sensing , 60 , 1–10. Earp, S., Curts, A., Zhang, X., & Hansteen, F. (2020). Probabilistc neural network tomography across Grane feld (North Sea) from surface wave dispersion data. Geophysical Journal Internatonal , 223, 1741–1757. Fiandaca, G., Zhang, B., Chen, J., Signora, A., Daut, F., Galli, S., Sullivan, N.A.L., Bollino, A., Viezzoli, A. (2024). EEMverter, a new 1D/2D/3D inversion tool for Electric and Electromagnetc data with focus on Induced Polarizaton. GNGTS 2024 , 13-16 February 2024, Ferrara, Italy. Grombacher, D., Maurya, P. K., Lind, J. C., Lane, J., & Auken, E. (2021). Rapid mapping of hydrological systems in Tanzania using a towed transient electromagnetc system. Groundwater , 1– 9. Galli, S., Signara, A., Chen, J., Schaars, F., Grohen, M., Fiandaca, G. (2024). Waterborne electromagnetc: two case studies. GNGTS 2024 , 13-16 February 2024, Ferrara, Italy. Maurya, P. K., Christensen, F. E., Kass, M. A., Pedersen, J. B., Frederiksen, R. R., Foged, N., Christansen, A. V., & Auken, E. (2022). Technical note: Efcient imaging of hydrological units below lakes and fords with a foatng, transient electromagnetc (FloaTEM) system. Hydrology and Earth System Sciences , 26 , 2813–2827. Mosher, S. G., Eilon, Z., Janiszewski, H., & Audet, P. (2021). Probabilistc inversion of seafloor compliance for oceanic crustal shear velocity structure using mixture density neural networks. Geophysical Journal Internatonal , 227 , 1879–1892. Neven, A., Maurya, P. K., Christansen, A. V., Renard, P. (2021). tTEM20AAR: a benchmark geophysical data set for unconsolidated fuvioglacial sediments. Earth System Science Data , 13 , 2743–2752. Prechelt, L. (1998). Early stopping — But when? Neural networks: Tricks of the trade , 55–69. Silvestri, S., Christensen, C. W., Lysdahl, A. O. K., Anschütz, H., Pfafuber, A. A., & Viezzoli, A. (2019). Peatland volume mapping over resistve substrates with airborne electromagnetc technology. Geophysical Research Leters , 46 , 6459–6468. Sandersen, P. B. E., Kallesøe, A. J., Mølle, I., Høyer, S., Jørgensen, F., Pedersen, J. B., & Christansen, A. V. (2021). Utlizing the towed transient Electromagnetc method (tTEM) for achieving unprecedented near-surface detail in geological mapping. Engineering Geology , 288 , 106125. Corresponding author: Jian.Chen@unimi.it