prof.dr. M. van der Meijde (Mark)

Full Professor
ITC-AES
Langezijds 1426
m.vandermeijde@utwente.nl
+31534874322
Business card

Expertise

  • Earth and Planetary Sciences

    • Model
    • Datum
    • Investigation
    • Earthquake
    • Remote Sensing
    • Impact
    • Area
    • Show

Organisations

Publications

2024
Using Google Earth engine for geological remote sensing. van der Werff, H. M. A., Aufaristama, M., Ettema, J. & van der Meijde, M.The influence of changing moisture content on laboratory acquired spectral feature parameters and mineral classification, Article 103884, 1-11. Jiang, T., van der Werff, H., van Ruitenbeek, F., Dijkstra, A., Lievens, C. & van der Meijde, M.https://doi.org/10.1016/j.jag.2024.103884Solving Uncertainties in Dutch Crustal Structure Using Distant Earthquakes. Akinremi, S., Fadel, I. E. A. M., Ruigrok, E., Thomas, C., Afonso, J. C. & van der Meijde, M.Waveform Fitting of Receiver Functions for Enhanced Retrieval of Crustal Structure in the Presence of Sediments, Article e2023JB028393, 1-11. Akinremi, S., van der Meijde, M., Thomas, C., Afonso, J. C., Ruigrok, E. & Fadel, I. E. A. M.https://doi.org/10.1029/2023JB028393Remote Detection of Geothermal Alteration Using Airborne Light Detection and Ranging Return Intensity, Article 1646. Freski, Y. R., Hecker, C., van der Meijde, M. & Setianto, A.https://doi.org/10.3390/rs16091646Space–time landslide hazard modeling via Ensemble Neural Networks, 823-845. Dahal, A., Tanyaș, H., Westen, C. v., Meijde, M. v. d., Mai, P. M., Huser, R. & Lombardo, L.https://doi.org/10.5194/nhess-24-823-2024
2023
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 prediction, 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.https://doi.org/10.1016/j.geomorph.2023.108898Quantitative models for porphyry copper exploration. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Maghsoudi Moud, F.https://doi.org/10.3990/1.9789036557887Space-time 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.https://doi.org/10.5194/egusphere-egu23-3496Integrated approach for landslide risk assessment using geoinformation tools and field data in Hindukush mountain ranges, Northern Pakistan, Article 3102. Shah, N. A., Shafique, M., Ishfaq, M., Faisal, K. & van der Meijde, M.https://doi.org/10.3390/su15043102The effects of changing laboratory illumination zenith angle on spectral feature parameters and mineral classification, Article 103142. Jiang, T., van der Werff, H., van Ruitenbeek, F., Lievens, C. & van der Meijde, M.https://doi.org/10.1016/j.jag.2022.103142From 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.https://doi.org/10.31223/X5WM0P
2022
Evaluation of the modified AHP-VIKOR for mapping and ranking copper mineralized areas, a case study from the Kerman metallogenic belt, SE Iran, Article 1756. Maghsoudi Moud, F., Abbaszadeh Shahri, A., van Ruitenbeek, F. J. A., Hewson, R. D. & van der Meijde, M.https://doi.org/10.1007/s12517-022-10913-wGlobal Moho gravity inversion from GOCE data: Updates and convergence assessment of the GEMMA model algorithm, Article 5646. Rossi, L., Lu, B., Reguzzoni, M., Sampietro, D., Fadel, I. & van der Meijde, M.https://doi.org/10.3390/rs14225646GPR surveys in enclosed underground sewer pipe space, Article 104689. Noshahri, H., van der Meijde, M. & olde Scholtenhuis, L. L.https://doi.org/10.1016/j.tust.2022.104689Spatio-temporal landslide inventory and susceptibility assessment using Sentinel-2 in the Himalayan mountainous region of Pakistan, Article 845. Bacha, A. S., Shafique, M., van der Werff, H., van der Meijde, M., Hussain, M. L. & Wahid, S.https://doi.org/10.1007/s10661-022-10514-wShear‐velocity structure and dynamics beneath the Sicily Channel and surrounding regions of the central Mediterranean inferred from seismic surface waves, Article e2022GC010394. Agius, M. R., Magrini, F., Diaferia, G., Kästle, E. D., Cammarano, F., Faccenna, C., Funiciello, F. & van der Meijde, M.https://doi.org/10.1029/2022GC010394Monitoring of Hydrological Resources in Surface Water Change by Satellite Altimetry, Article 4904. Li, W., Xie, X., Li, W., Meijde, M. v. d., Yan, H., Huang, Y., Li, X. & Wang, Q.https://doi.org/10.3390/rs14194904Imaging 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, Iceland, Article 4528. Aufaristama, M., Hoskuldsson, A., van der Meijde, M., van der Werff, H. M. A., Moreland, W. M. & Jonsdottir, I.https://doi.org/10.3390/rs14184528Imaging 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 Sea, Article 3921. Lu, B., Xu, C., Li, J., Zhong, B. & van der Meijde, M.https://doi.org/10.3390/rs14163921Remote 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.https://doi.org/10.2139/ssrn.4162545Crustal and Upper Mantle Imaging of Botswana Using Magnetotelluric Method: Country-wide Magnetotelluric Imaging of Botswana, Article 840703, 1-16. Akinremi, S., Fadel, I. E. A. M. & van der Meijde, M.https://doi.org/10.3389/feart.2022.840703

Research profiles

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University of Twente

Langezijds (building no. 19), room 1426
Hallenweg 8
7522 NH Enschede
Netherlands

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