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Matthew Moy de Vitry
Matthew Moy de Vitry
Hades Technologies
Verified email at hades.ai
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Year
The potential of knowing more: A review of data-driven urban water management
S Eggimann, L Mutzner, O Wani, MY Schneider, D Spuhler, ...
Environmental science & technology 51 (5), 2538-2553, 2017
2202017
Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas
JP Leitão, MM de Vitry, A Scheidegger, J Rieckermann
Hydrology and Earth System Sciences 20 (4), 1637, 2016
882016
Sewer asset management–state of the art and research needs
F Tscheikner-Gratl, N Caradot, F Cherqui, JP Leitão, M Ahmadi, ...
Urban Water Journal 16 (9), 662-675, 2019
652019
Urban overland runoff velocity measurement with consumer-grade surveillance cameras and surface structure image velocimetry
JP Leitão, S Peña-Haro, B Lüthi, A Scheidegger, MM de Vitry
Journal of Hydrology 565, 791-804, 2018
572018
Flood-water level estimation from social media images
P Chaudhary, S D'Aronco, M Moy de Vitry, JP Leitão, JD Wegner
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019
552019
Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network
M Moy de Vitry, S Kramer, JD Wegner, JP Leitão
Hydrology and Earth System Sciences 23 (11), 4621-4634, 2019
402019
Smart urban water systems: what could possibly go wrong?
M Moy de Vitry, MY Schneider, OF Wani, L Manny, JP Leitão, S Eggimann
Environmental Research Letters 14 (8), 081001, 2019
392019
floodX: Urban flash flood experiments monitored with conventional and alternative sensors
M Moy de Vitry, S Dicht, JP Leitão
Earth System Science Data 9 (2), 657-666, 2017
292017
The potential of proxy water level measurements for calibrating urban pluvial flood models
M Moy de Vitry, JP Leitão
Water research 175, 115669, 2020
192020
Sewer inlet localization in UAV image clouds: Improving performance with multiview detection
MM Vitry, K Schindler, J Rieckermann, JP Leitão
Remote Sensing 10 (5), 706, 2018
182018
Automated localization of urban drainage infrastructure from public-access street-level images
D Boller, M Moy de Vitry, J D. Wegner, JP Leitão
Urban Water Journal 16 (7), 480-493, 2019
152019
Assessing the quality of Digital Elevation Models obtained from mini-Unmanned Aerial Vehicles for overland flow modelling in urban areas.
JP Leitão, MM de Vitry, A Scheidegger, J Rieckermann
Hydrology & Earth System Sciences Discussions 12 (6), 2015
92015
floodX: urban flash flood experiments monitored with conventional and alternative sensors, Earth Syst. Sci. Data, 9, 657–666
M Moy de Vitry, S Dicht, JP Leitão
62017
Improving urban flood management with autonomous mini-UAVs
M Moy de Vitry
ETH Zurich, 2014
42014
Public Surveillance and the Future of Urban Pluvial Flood Modelling
M Moy de Vitry
ETH Zurich, 2019
22019
Photogrammetrische Fernerkundung mit autonomen Mini-Drohnen in der Siedlungshydrologie
M Moy de Vitry, JP Leitao, P Tokarczyk, J Rieckermann
2
Es überschwemmt und keiner sieht zu?!: Oberflächenabflussmessungen im urbanen Raum mittels Videomaterial von Überwachungskameras
S Peña-Haro, B Lüthi, M Carrel, A Scheidegger, M Moy de Vitry, JP Leitão
Aqua & Gas 99 (5), 44-50, 2019
2019
Assessing the quality of digital elevation models<? xmltex\newline?> obtained from mini unmanned aerial vehicles<? xmltex\newline?> for overland flow modelling in urban areas
JP Leitão, M Moy de Vitry, A Scheidegger, J Rieckermann
Hydrology and Earth System Sciences 20 (4), 1637-1653, 2016
2016
Trends in Nitrogen Use Efficiency of Switzerland
MM de Vitry, R Hüppi, K von Gunten, W Richner, C Stamm
2013
The potential of an enhanced LSPIV method to estimate urban overland flow velocity
JP Leitão, S Peņa-Haro, B Luthi, A Scheidegger, MM de Vitry
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