(Article of periodic en Anglais - 2010)

Document title

Geostatistical estimations of bathymetric LiDAR errors on rivers

Authors(s) and Affiliation(s)

BAILLY J.-S. (1 4 5) ; LE COARER Y. (2) ; LANGUILLE P. (2) ; STIGERMARK C.-J. (3) ; ALLOUIS T. (4 1) ;
(1) AgroParisTech, UMR TETIS, Montpellier, FRANCE
(2) Cemagref, Aix-en-Provence, FRANCE
(3) AiborneHydro AB, Jönköping, SUEDE
(4) Cemagref, UMR TETIS, Montpellier, FRANCE
(5) AgroParisTech, UMR 1221, Montpellier, FRANCE


The AA. designed a methodology to assess the quality of LiDAR topographical data within rivers using a specific geostatistical method that conducts upscaling as well as interpolation of reference data that takes into account uncertainties. This method uses an anisotropic block kriging from DGPS points on LiDAR footprint areas within a channel-fitted coordinate system. This assessment focused on a reach of the Gardon gravel bed river, in the south of France. LiDAR accuracy results for river bottom elevation show a negative bias for high depth and added to this bias a random error is also highlighted. However, this experiment shows that LiDAR provides an accurate representation of the riverbed forms. It also provided a useful, continuous, topographic surface from the underwater river bed up to riparian areas


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, no10 [pp. 1199-1210]

Bibliographic references : 1 p.

Collation : 9 fig., 1 tabl.



INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.1991

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