Measuring Water Levels by Handheld Smartphones

A contribution to exploit crowdsourcing in the spatio-temporal densification of water gauging networks

Auteurs-es

  • Melanie Elias TU Dresden
  • Hans-Gerd Maas TU Dresden

Mots-clés :

Mesure du niveau d'eau, Application smartphone, Traitement d'image, Photogrammétrie, Bathymétrie participative, Faible coût, Inondation

Résumé

Le changement climatique mondial entraîne une augmentation du nombre d’épisodes locaux de fortes précipitations, qui provoquent des crues soudaines presque imprévisibles dans le monde entier. Cet article présente une technologie de mesure de l'eau novatrice et flexible, à faible coût, appelée Open Water Levels, qui utilise des téléphones portables comme dispositifs de mesure à faible coût permettant une bathymétrie participative à la demande avec une précision de l'ordre de quelques centimètres. Cela nécessite simplement des images de la rive prises par la caméra d'un téléphone portable et des valeurs approximatives de la position et de la rotation de la caméra mesurées par les capteurs du téléphone. Les images sont analysées pour détecter la ligne d'eau qui est ensuite projetée dans l'espace objet et croisée avec un modèle 3D, par exemple à partir d'une base de données SIG, pour obtenir des informations sur le niveau d'eau.

Bibliographies de l'auteur-e

Melanie Elias, TU Dresden

Dr. Melanie Elias is a PostDoc at the Institute of Photogrammetry and Remote Sensing at the TU Dresden. She received her PhD in Photogrammetry from TU Dresden in 2021 investigating the potential of smartphones as novel geodetic measuring instruments. In this regard she developed and implemented an innovative water gauging method based on smartphones and photogrammetry for the spatio temporal densification of hydrological measurement networks via crowdsourcing. Her research interests cover Photogrammetry, especially image-based 3D scene reconstruction in close connection with 4D change detection, Augmented Reality, Remote Sensing and Geoinformatics. The focus is mainly on environmental monitoring using and developing low-cost tools and solutions.

Hans-Gerd Maas, TU Dresden

Prof. Dr. habil. Hans-Gerd Maas is Professor for Photogrammetry and Dean of the Faculty of Environmental Sciences at TU Dresden, Germany. His research is on image analysis techniques for the automation of image measurement tasks, combined with strict geometric and stochastic modelling for optimizing solutions. The focus of the photogrammetry group of TU Dresden is on the integration of sensors and processing algorithms for the development of efficient solutions for new measuring applications, with special emphasis on environmental monitoring tasks in forestry, glaciology and hydro sciences.

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Publié-e

2022-05-30

Comment citer

Elias, M., & Maas, H.-G. (2022). Measuring Water Levels by Handheld Smartphones: A contribution to exploit crowdsourcing in the spatio-temporal densification of water gauging networks. The International Hydrographic Review, (27), 9–22. Consulté à l’adresse https://journals.lib.unb.ca/index.php/ihr/article/view/33130

Numéro

No. 27 (2022)

Rubrique

Articles

Licence

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 Anders, F.J. and Byrnes, M.R.(1991). “Accuracy of shoreline change rates as determined from maps and aerial photographs”, Shore and Beach, 59, pp. 17-26.

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Foley, J.D., van Dam, A., Feiner, S. K. and Hughes, J.F. (1990), Computer Graphics – Principles and Practice, 2nd ed., Addison-Wesley, Reading, MA.

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Smith, A. (1988). Colour photomapping. Report NRC-01-512. National Research Centre. Ottawa, Canada.

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desJardins, M. (2005). How to succeed in postgraduate  study, Applied Ecology Research Group, University of Canberra, viewed 26 April 2009, http://aerg.canberra.edu.au/jardins.t.htm.

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