Bathymetric Mapping of Shallow Rivers with UAV Hyperspectral Data

Valeria Gentile, Marek Mrόz, Marie Spitoni, Jérôme Lejot, Hervé Piégay, Luca Demarchi

2016

Abstract

Airborne images have long been used to support environmental monitoring due to their synoptic capability to cover wide areas with high spatial and temporal resolution. The potential for bathymetric mapping by airborne remote sensing has been addressed and demonstrated in several studies by means of imaging and non-imaging techniques. In this paper we evaluate the potential to retrieve water depth of shallow river from high resolution hyperspectral images using an empirical model, applicable under a range of specific field conditions and in a definite interval of wavelengths.

References

  1. Bravard, J. P. (1986). La basse vallée de l'Ain: dynamique fluviale appliquée à l'écologie. Recherches Interdisciplinaires sur les Ecosystémes de la BassePlaine de l'Ain: Potentialitees Evolutives et Gestion. Doc. Cartogr. Ecol, 29, 17-43.
  2. Carbonneau, P. E., Lane, S. N., & Bergeron, N. (2006). Feature based image processing methods applied to bathymetric measurements from airborne remote sensing in fluvial environments. Earth Surface Processes and Landforms, 31(11), 1413-1423.
  3. Feurer, D., Bailly, J. S., Puech, C., Le Coarer, Y., & Viau, A. (2008). Very-high-resolution mapping of riverimmersed topography by remote sensing. Progress in Physical Geography, 32(4), 403-419.
  4. Fonstad, M. A., & Marcus, W. A. (2005). Remote sensing of stream depths with hydraulically assisted bathymetry (HAB) models. Geomorphology, 72(1), 320-339.
  5. Gao, J. (2009). Bathymetric mapping by means of remote sensing: methods, accuracy and limitations. Progress in Physical Geography, 33(1), 103-116.
  6. Gilvear, D., Hunter, P., & Higgins, T. (2007). An experimental approach to the measurement of the effects of water depth and substrate on optical and near infra-red reflectance: A field-based assessment of the feasibility of mapping submerged instream habitat. International Journal of Remote Sensing, 28(10), 2241-2256.
  7. Lane, S. N., Westaway, R. M., & Murray Hicks, D. (2003). Estimation of erosion and deposition volumes in a large, gravel-bed, braided river using synoptic remote sensing. Earth Surface Processes and Landforms, 28(3), 249-271.
  8. Lejot, J., Delacourt, C., Piégay, H., Fournier, T., Trémélo, M. L., & Allemand, P. (2007). Very high spatial resolution imagery for channel bathymetry and topography from an unmanned mapping controlled platform. Earth Surface Processes and Landforms, 32(11), 1705-1725.
  9. Legleiter, C. J., Roberts, D. A., & Lawrence, R. L. (2009). Spectrally based remote sensing of river bathymetry. Earth Surface Processes and Landforms, 34(8), 1039- 1059.
  10. Liébault, F., & Piégay, H. (2001). Assessment of channel changes due to long-term bedload supply decrease, Roubion River, France. Geomorphology, 36(3), 167- 186.
  11. Makelainen, A., Saari, H., Hippi, I., Sarkeala, J., & Soukkamaki, J. (2013). 2D Hyperspectral frame imager camera data in photogrammetric mosaicking. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 263-267
  12. Maritorena, S., Morel, A., & Gentili, B. (1994). Diffuse reflectance of oceanic shallow waters: Influence of water depth and bottom albedo. Limnology and oceanography, 39(7), 1689-1703.
  13. Naudet, G., Camenen, B., Le Coz, J., Paquier, A., & Piégay, H. (2014, June). Numerical modelling contribution to sedimentary redynamisation projects in the Ain River. In Conférence Internationale IsRivers 2015.
  14. Naudet, G., Le Coz, J., Camenen, B., Paquier, A. (2015, Septembre). Modélisation numérique hydrosédimentaire 1D et 2D de la basse vallée de l'Ain. Technical report.
  15. Paquier, A., Camenen, B., Le Coz, J., & Béraud, C. (2014). Comparison of two models for bed load sediment transport in rivers.
  16. Philpot, W. D. (1989). Bathymetric mapping with passive multispectral imagery. Applied optics, 28(8), 1569- 1578.
Download


Paper Citation


in Harvard Style

Gentile V., Mrόz M., Spitoni M., Lejot J., Piégay H. and Demarchi L. (2016). Bathymetric Mapping of Shallow Rivers with UAV Hyperspectral Data . In Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS, ISBN 978-989-758-200-4, pages 43-49. DOI: 10.5220/0006227000430049


in Bibtex Style

@conference{ictrs16,
author={Valeria Gentile and Marek Mrόz and Marie Spitoni and Jérôme Lejot and Hervé Piégay and Luca Demarchi},
title={Bathymetric Mapping of Shallow Rivers with UAV Hyperspectral Data},
booktitle={Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,},
year={2016},
pages={43-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006227000430049},
isbn={978-989-758-200-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,
TI - Bathymetric Mapping of Shallow Rivers with UAV Hyperspectral Data
SN - 978-989-758-200-4
AU - Gentile V.
AU - Mrόz M.
AU - Spitoni M.
AU - Lejot J.
AU - Piégay H.
AU - Demarchi L.
PY - 2016
SP - 43
EP - 49
DO - 10.5220/0006227000430049