2007
Lashermes, B.; Foufoula-Georgiou, E.; Dietrich, W. E.
Channel network extraction from high resolution topography using wavelets Journal Article
In: Geophysical Research Letters, vol. 34, no. 23, 2007.
Abstract | Links | BibTeX | Tags: algal blooms, curvature, digital elevation
@article{Lashermes2007,
title = {Channel network extraction from high resolution topography using wavelets},
author = {B. Lashermes and E. Foufoula-Georgiou and W. E. Dietrich},
url = {https://angelo.berkeley.edu/wp-content/uploads/sites/59/Lashermes_2007GeophysResLet.pdf},
doi = {10.1029/2007GL031140},
year = {2007},
date = {2007-10-17},
journal = {Geophysical Research Letters},
volume = {34},
number = {23},
abstract = {The availability of high resolution topography from LIDAR offers new opportunities for objectively extracting the channels directly from a DEM using local topographic information, instead of inferring them indirectly based on global criteria, such as area or area-slope threshold relationships. Here we introduce the use of wavelet filtering to delineate threshold curvatures for defining valleys and threshold slope-direction-change for defining probable channeled portions of the valleys. This approach exploits the topographic signatures uniquely found in high resolution topography, and reveals the fuzzy topographic transition in which local weakly convergent areas lie at the transition between hillslopes and valleys.},
keywords = {algal blooms, curvature, digital elevation},
pubstate = {published},
tppubtype = {article}
}
The availability of high resolution topography from LIDAR offers new opportunities for objectively extracting the channels directly from a DEM using local topographic information, instead of inferring them indirectly based on global criteria, such as area or area-slope threshold relationships. Here we introduce the use of wavelet filtering to delineate threshold curvatures for defining valleys and threshold slope-direction-change for defining probable channeled portions of the valleys. This approach exploits the topographic signatures uniquely found in high resolution topography, and reveals the fuzzy topographic transition in which local weakly convergent areas lie at the transition between hillslopes and valleys.