(Article of periodic en Anglais - 2010)

Document title

Comparison of LiDAR waveform processing methods for very shallow water bathymetry using Raman, near-infrared and green signals

Authors(s) and Affiliation(s)

ALLOUIS T. (1 2) ; BAILLY J.-S. (1 2) ; PASTOL Y. (3) ; LE ROUX C. (3) ;
(1) Cemagref, UMR TETIS, Montpellier, FRANCE
(2) AgroParisTech, UMR TETIS, Montpellier, FRANCE
(3) SHOM, Brest, FRANCE


This paper proposes 2 new processing methods for depth extraction based on the use of different LiDAR signals [green, near-infrared (NIR), Raman] of the SHOALS-1000T sensor. They have been tested on a very shallow coastal area (Golfe du Morbihan, France) as an analogy to very shallow rivers. The first method is based on a combination of mathematical and heuristic methods using the green and the NIR LiDAR signals to cross validate the information delivered by each signal. The second method extracts water depths from the Raman signal using statistical methods such as principal components analysis (PCA) and classification and regression tree (CART) analysis. The obtained results are then compared to the reference depths, and the performances of the different methods, as well as their advantages/disadvantages are evaluated


Article of periodic

published at : Earth surface processes and landforms / ISSN 0197-9337 / CODEN ESPLDB

Editor : Wiley, Chichester - ROYAUME-UNI (1981)

Millesime : 2010, vol. 35, no6 [pp. 640-650]

Bibliographic references : 36 ref.

Collation : 12 fig., 3 tabl.



INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.1959

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2011
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