Geostatistical estimations of bathymetric LiDAR errors on rivers

Auteur(s) et Affiliation(s)



Description :
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.


Type de document :
Article de périodique

Source :
Earth surface processes and landforms, issn : 0197-9337, 2010, vol. 35, n°. 10, p. 1199-1210, nombre de pages : 12, Références bibliographiques : 1 p.

Date :
2010

Editeur :
Pays édition : Royaume-Uni, Chichester, Wiley