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The potential of proxy water level measurements for calibrating urban pluvial flood models
Moy de Vitry, M., & Leitão, J. P. (2020). The potential of proxy water level measurements for calibrating urban pluvial flood models. Water Research, 175, 115669 (14 pp.). https://doi.org/10.1016/j.watres.2020.115669
Automated localization of urban drainage infrastructure from public-access street-level images
Boller, D., Moy de Vitry, M., Wegner, J. D., & Leitão, J. P. (2019). Automated localization of urban drainage infrastructure from public-access street-level images. Urban Water Journal, 16(7), 480-493. https://doi.org/10.1080/1573062X.2019.1687743
Flood-water level estimation from social media images
Chaudhary, P., D'Aronco, S., Moy de Vitry, M., Leitão, J. P., & Wegner, J. D. (2019). Flood-water level estimation from social media images. In G. Vosselman, S. J. Oude Elberink, & M. Y. Yang (Eds.), ISPRS annals of the photogrammetry, remote sensing and spatial information sciences: Vol. IV-2/W5. ISPRS geospatial week (pp. 5-12). https://doi.org/10.5194/isprs-annals-IV-2-W5-5-2019
Public surveillance and the future of urban pluvial flood modelling
Moy de Vitry, M. (2019). Public surveillance and the future of urban pluvial flood modelling [Doctoral dissertation, ETH Zurich]. https://doi.org/10.3929/ethz-b-000397587
Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network
Moy de Vitry, M., Kramer, S., Wegner, J. D., & Leitão, J. P. (2019). Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network. Hydrology and Earth System Sciences, 23(11), 4621-4634. https://doi.org/10.5194/hess-23-4621-2019
Smart urban water systems: what could possibly go wrong?
Moy de Vitry, M., Schneider, M. Y., Wani, O., Manny, L., Leitão, J. P., & Eggimann, S. (2019). Smart urban water systems: what could possibly go wrong? Environmental Research Letters, 14(8), 081001 (4 pp.). https://doi.org/10.1088/1748-9326/ab3761
Es überschwemmt und keiner sieht zu?! Oberflächenabflussmessungen im urbanen Raum mittels Videomaterial von Überwachungskameras
Peña-Haro, S., Lüthi, B., Carrel, M., Scheidegger, A., de Vitry, M. M., & Leitão, J. P. (2019). Es überschwemmt und keiner sieht zu?! Oberflächenabflussmessungen im urbanen Raum mittels Videomaterial von Überwachungskameras. Aqua & Gas, 99(5), 44-50.
Sewer asset management - state of the art and research needs
Tscheikner-Gratl, F., Caradot, N., Cherqui, F., Leitão, J. P., Ahmadi, M., Langeveld, J. G., … Clemens, F. (2019). Sewer asset management - state of the art and research needs. Urban Water Journal, 16(9), 662-675. https://doi.org/10.1080/1573062X.2020.1713382
Automatisierte Erfassung von Siedlungsentwässerungsinfrastruktur mittels Strassenbildern und eines künstlichen neuronalen Netzwerks
Boller, D., Moy de Vitry, M., Wegner, J. D., & Leitão, J. P. (2018). Automatisierte Erfassung von Siedlungsentwässerungsinfrastruktur mittels Strassenbildern und eines künstlichen neuronalen Netzwerks. In T. G. Schmitt (Ed.), Schriftenreihe Wasser Infrastruktur Ressourcen: Vol. 1. Regenwasser in urbanen Räumen. aqua urbanica trifft RegenwasserTage 2018. Tagungsband (pp. 251-254). Institut Wasser Infrastruktur Ressourcen.
Automatisierte Erfassung von Siedlungsentwässerungsinfrastruktur mittels Strassenbildern und eines künstlichen neuronalen Netzwerks
Leitão, J. P., Peña, S., Lüthi, B., & Moy de Vitry, M. (2018). Automatisierte Erfassung von Siedlungsentwässerungsinfrastruktur mittels Strassenbildern und eines künstlichen neuronalen Netzwerks. In T. G. Schmitt (Ed.), Schriftenreihe Wasser Infrastruktur Ressourcen: Vol. 1. Regenwasser in urbanen Räumen. aqua urbanica trifft RegenwasserTage 2018. Tagungsband (pp. 269-272). Institut Wasser Infrastruktur Ressourcen.
Urban overland runoff velocity measurement with consumer-grade surveillance cameras and surface structure image velocimetry
Leitão, J. P., Peña-Haro, S., Lüthi, B., Scheidegger, A., & Moy de Vitry, M. (2018). Urban overland runoff velocity measurement with consumer-grade surveillance cameras and surface structure image velocimetry. Journal of Hydrology, 565, 791-804. https://doi.org/10.1016/j.jhydrol.2018.09.001
Sewer inlet localization in UAV image clouds: improving performance with multiview detection
Moy de Vitry, M., Schindler, K., Rieckermann, J., & Leitão, J. P. (2018). Sewer inlet localization in UAV image clouds: improving performance with multiview detection. Remote Sensing, 10(5), 706 (18 pp.). https://doi.org/10.3390/rs10050706
The potential of knowing more: a review of data-driven urban water management
Eggimann, S., Mutzner, L., Wani, O., Schneider, M. Y., Spuhler, D., Moy de Vitry, M., … Maurer, M. (2017). The potential of knowing more: a review of data-driven urban water management. Environmental Science and Technology, 51(5), 2538-2553. https://doi.org/10.1021/acs.est.6b04267
floodX: urban flash flood experiments monitored with conventional and alternative sensors
Moy de Vitry, M., Dicht, S., & Leitão, J. P. (2017). floodX: urban flash flood experiments monitored with conventional and alternative sensors. Earth System Science Data, 9(2), 657-666. https://doi.org/10.5194/essd-9-657-2017
Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas
Leitão, J. P., Moy de Vitry, M., Scheidegger, A., & Rieckermann, J. (2016). Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas. Hydrology and Earth System Sciences, 20(4), 1637-1653. https://doi.org/10.5194/hess-20-1637-2016