This repository contains code and documentation for a temporal method for celerity detection and bathymetry inversion following Almar et al., 2008. Including the use of multiple frequencies and error estimates (Bergsma and Almar, 2018; Thuan et al, 2019; Abessolo et al., 2019; Abessolo et al, 2020). It is under development and has not had an official release yet.
Almar, R., N. Senechal, P. Bonneton, and J. A. Roelvink, 2008. Wave celerity from video imaging: A new method. Proc. 31st Int. Conf. Coastal Engineering, Hamburg, Germany, American Society of Civil Engineers, 661–673.
Bergsma, E. W. J., and R. Almar, 2018: Video-based depth inversion techniques, a method comparison with synthetic cases. Coastal Eng., 138, 199–209, https://doi.org/10.1016/j.coastaleng.2018.04.025
Thuan, D. H.and Almar, R., Marchesiello, P., and Viet, N. T., 2019. Video sensing of nearshore bathymetry evolution with error estimate. Journal of Marine Science and Engineering, 7:233.
Abessolo, G.O., Almar, R., Castelle, B., Testut, L., Leger, F., Sohou, Z., Bonou, F., Bergsma, E., Meyssignac, B., and Larson, M., 2019. Sea Level at the Coast from Video-Sensed Waves: Comparison to Tidal Gauges and Satellite Altimetry. Journal of Atmospheric and Oceanic Technology, 36, 1591-1603, https://doi.org/10.1175/JTECH-D-18-0203.1
Abessolo, O. G., Almar, R., Bonou, F., Bergsma, E. J., 2020b. Error Proxies in Video-Based Depth Inversion: Temporal Celerity Estimation. In: Malvárez, G. and Navas, F. (eds.). Global Coastal Issues of 2020, Journal of Coastal Research, Special Issue No. 95, pp. 1101–1105, https://doi.org/10.2112/SI95-214.1