Modeling the effects of surface and bottom geometries on LiDAR bathymetric waveforms

Martin Alejandro Montes-Hugo (1) , Jean-Stéphane Bailly (2, 3, 4) , Nicolas Baghdadi (3, 5) , Anis Bouhdaoui (6, 3, 5)

1 UQAR - Université du Québec à Rimouski
2 AgroParisTech
3 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale
4 UMR LISAH - Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème
5 IRSTEA - Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture
6 LMD - Laboratoire de Météorologie Dynamique (UMR 8539)

LiDAR bathymetric biases due to geometric changes at the air-water and water-bottom interfaces are investigated based on calculations made with a modified version of the waveform simulator Wa-LID. Main assumptions include a homogeneous water column and a spaceborne Lidar with a wavelength centered at 532 nm. Preliminary results showed major temporal modifications on second Lidar return (up to ± 100 cm or ± 10 ns) due to tilted bottoms. This shift was in average >6-fold the maximum bottom depth bias originated from capillary waves forming at the air-water surface.

Mots clés: Lidar; bathymetry; model; surface effects; bottom

Domaines: Sciences de la Terre

Martin Alejandro Montes-Hugo, Jean-Stéphane Bailly, Nicolas Baghdadi, Anis Bouhdaoui. Modeling the effects of surface and bottom geometries on LiDAR bathymetric waveforms. Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, IEEE International, Jul 2014, Quebec, Canada. pp.2706 - 2708, ⟨10.1109/IGARSS.2014.6947033⟩. ⟨hal-01523133⟩