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Enhance Moho Retrieval in the Presence of Sediment using Waveform Fitting of Receiver Functions. Akinremi, S., Fadel, I. E. A. M., van der Meijde, M., Thomas, C., Afonso, J. C. & Ruigrok, E.From ground motion simulations to landslide occurrence predictionGeomorphology, 441, Article 108898. Dahal, A., Castro-Cruz, D. A., Tanyaş, H., Fadel, I., Mai, P. M., van der Meijde, M., van Westen, C., Huser, R. & Lombardo, L. models for porphyry copper exploration. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Maghsoudi Moud, F. modelling of co-seismic and post-seismic landslide hazard via Ensemble Neural Networks.. Dahal, A., Tanyas, H., van Westen, C., van der Meijde, M., Mai, P. M., Huser, R. & Lombardo, L. approach for landslide risk assessment using geoinformation tools and field data in Hindukush mountain ranges, Northern PakistanSustainability and climate change, 15(4), Article 3102. Shah, N. A., Shafique, M., Ishfaq, M., Faisal, K. & van der Meijde, M. effects of changing laboratory illumination zenith angle on spectral feature parameters and mineral classificationInternational Journal of Applied Earth Observation and Geoinformation, 116, Article 103142. Jiang, T., van der Werff, H., van Ruitenbeek, F., Lievens, C. & van der Meijde, M. ground motion simulations to landslide occurrence prediction. Earth ArXiv. Dahal, A., Cruz, D. A. C., Tanyas, H., Fadel, I., Mai, P. M., Meijde, M. v. d., Westen, C. v., Huser, R. & Lombardo, L.
Evaluation of the modified AHP-VIKOR for mapping and ranking copper mineralized areas, a case study from the Kerman metallogenic belt, SE IranArabian Journal of Geosciences, 15(24), Article 1756. Maghsoudi Moud, F., Abbaszadeh Shahri, A., van Ruitenbeek, F. J. A., Hewson, R. D. & van der Meijde, M. Moho gravity inversion from GOCE data: Updates and convergence assessment of the GEMMA model algorithmRemote sensing, 14(22), Article 5646. Rossi, L., Lu, B., Reguzzoni, M., Sampietro, D., Fadel, I. & van der Meijde, M. surveys in enclosed underground sewer pipe spaceTunnelling and underground space technology, 129, Article 104689. Noshahri, H., van der Meijde, M. & olde Scholtenhuis, L. L. landslide inventory and susceptibility assessment using Sentinel-2 in the Himalayan mountainous region of PakistanEnvironmental monitoring and assessment, 194(11), Article 845. Bacha, A. S., Shafique, M., van der Werff, H., van der Meijde, M., Hussain, M. L. & Wahid, S.‐velocity structure and dynamics beneath the Sicily Channel and surrounding regions of the central Mediterranean inferred from seismic surface wavesGeochemistry, Geophysics, Geosystems, 23(10), Article e2022GC010394. Agius, M. R., Magrini, F., Diaferia, G., Kästle, E. D., Cammarano, F., Faccenna, C., Funiciello, F. & van der Meijde, M. of Hydrological Resources in Surface Water Change by Satellite AltimetryRemote sensing, 14(19), Article 4904. Li, W., Xie, X., Li, W., Meijde, M. v. d., Yan, H., Huang, Y., Li, X. & Wang, Q. the unseen. University of Twente. van der Meijde, M.Radiant power patterns inferred from remote sensing using a cloud computing platform, during the 2021 Fagradalsfjall Eruption, IcelandRemote sensing, 14(18), Article 4528. Aufaristama, M., Hoskuldsson, A., van der Meijde, M., van der Werff, H. M. A., Moreland, W. M. & Jonsdottir, I. the crustal structure of the Netherlands using receiver functions. Akinremi, S., Fadel, I., van der Meijde, M., Ruigrok, E., Afonso, J. C., Paulssen, H. & Thomas, C.Marine gravimetry and Its improvements to seafloor topography estimation in the southwestern coastal area of the Baltic SeaRemote sensing, 14(16), Article 3921. Lu, B., Xu, C., Li, J., Zhong, B. & van der Meijde, M. detection of geothermal alteration from LiDAR return intensity data. Social Science Research Network (SSRN). Restu Freski, Y., Hecker, C., van der Meijde, M. & Setianto, A. and Upper Mantle Imaging of Botswana Using Magnetotelluric Method: Country-wide Magnetotelluric Imaging of BotswanaFrontiers in Earth Science, 10, Article 840703, 1-16. Akinremi, S., Fadel, I. E. A. M. & van der Meijde, M. landslide hazard modeling via ensemble neural networks. Earth ArXiv. Dahal, A., Tanyas, H., van Westen, C., van der Meijde, M., Mai, P. M., Huser, R. & Lombardo, L.



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