TY - JOUR
T1 - Channel network extraction from high resolution topography using wavelets
AU - Lashermes, Bruno
AU - Foufoula, Efi
AU - Dietrich, William E.
PY - 2007/12/16
Y1 - 2007/12/16
N2 - 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.
AB - 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.
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U2 - 10.1029/2007GL031140
DO - 10.1029/2007GL031140
M3 - Article
AN - SCOPUS:39049161046
SN - 0094-8276
VL - 34
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 23
M1 - L23S04
ER -