Water Dialogue

Roberto Tomás

University of Alicante
Department of Civil Engineering
Profile: https://personal.ua.es/en/roberto-tomas/

Biography

Roberto Tomás holds a Ph.D., an MSc degree in Civil Engineering and an MSc degree in Geological Engineering, and an MSc degree in Civil Engineering from the University of Alicante.

Currently, he is a Professor of Geotechnical Engineering at the University of Alicante's Department of Civil Engineering. He is a director, on behalf of the University of Alicante, of the IGME-UA Joint Research Unit for Ground Movement Monitoring Using Radar Interferometry (UNIRAD), leader of the Geotechnical and Structural Engineering (INTERES) research group, collaborator of the IGME's Geohazard InSAR laboratory and Modelling Group, chair of the Spanish Working Group on Land Subsidence (SubTer), and member of the UNESCO Land Subsidence International Initiative (LASII).

His main research is the application of remote sensing techniques to the study of geological and geotechnical phenomena and rock masses. The main themes of his work are a) monitoring and characterization of landslides, land subsidence, and infrastructures using SAR interferometry; b) rock mass characterization and monitoring using 3D point clouds; and c) rock mass geomechanical classifications and intact rock characterization when subjected to high temperatures or saturation.

Selected Relevant Publications

  1. Navarro-Hernández, M.I.; Tomás, R.; Lopez-Sanchez, J.M.; Cárdenas-Tristán, A.; Mallorquí, J.J. (2020). Spatial Analysis of Land Subsidence in the San Luis Potosi Valley Induced by Aquifer Overexploitation Using the Coherent Pixels Technique (CPT) and Sentinel-1 InSAR Observation. Remote Sens., 12, 3822 https://www.mdpi.com/207-4292/12/22/3822#
  2. Ezquerro, P., Del Soldato, M., Solari, L., Tomás, R., Raspini, F., Ceccatelli, M., Fernández-Merodo, J.A., Casagli, N., Herrera, G. (2020). Vulnerability Assessment of Buildings due to Land Subsidence using InSAR Data in the Ancient Historical City of Pistoia (Italy). Sensors, 20, 2749. https://www.mdpi.com/1424-8220/20/10/2749
  3. Hu, L., Dai, K., Xing, C., Li, Z., Tomás, R., Clark, B., Shi, X., Chen, M., Zhang, R., Qiu Q., Lu, Y. (2019). Land Subsidence in Beijing and its relationship with geological faults revealed by sentinel-1 InSAR observations. International Journal of Applied Earth Observation and Geoinformation 82: 101886. https://www.sciencedirect.com/science/article/pii/S0303243418308821