Catchment-scale mapping of surface grain size in gravel bed rivers using airborne digital imagery

Détails

ID Serval
serval:BIB_42CBF8D8AA46
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Catchment-scale mapping of surface grain size in gravel bed rivers using airborne digital imagery
Périodique
WATER RESOURCES RESEARCH
Auteur⸱e⸱s
Carbonneau PE, Lane SN, Bergeron NE
ISSN
0043-1397
Statut éditorial
Publié
Date de publication
07/2004
Volume
40
Numéro
7
Notes
ISI:000222919600001
Résumé
This study develops and assesses two methods for estimating median
surface grain sizes using digital image processing from
centimeter-resolution airborne imagery. Digital images with ground
resolutions of 3 cm and 10 cm were combined with field calibration
measurements to establish predictive relationships for grain size as a
function of both local image texture and local image semivariance.
Independently acquired grain size data were then used to assess the
algorithm performance. Results showed that for the 3 cm imagery both
local image semivariance and texture are highly sensitive to median
grain size, with semivariance being a better predictor than image
texture. However, in the case of 10 cm imagery, sensitivity of image
semivariance and texture to grain size was poor, and this scale of
imagery was found to be unsuitable for grain size estimation. This
study therefore demonstrates that local image properties in very high
resolution digital imagery allow for automated grain size measurement
using image processing and remote sensing methods.
Web of science
Open Access
Oui
Création de la notice
03/02/2011 14:41
Dernière modification de la notice
20/08/2019 13:45
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