Valley and channel networks extraction based on local topographic curvature and k -means clustering of contours

GeoNet: An open source software for the automatic and objective extraction of channel heads, channel network, and channel morphology from high resolution topography data

(2016) Harish Sangireddy et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Comment on “Objective extraction of channel heads from high-resolution topographic data” by Fiona J. Clubb et al.

(2015) Paola Passalacqua et al.   WATER RESOURCES RESEARCH

Objective extraction of channel heads from high-resolution topographic data

(2014) Fiona J. Clubb et al.   WATER RESOURCES RESEARCH

Automatic geomorphic feature extraction from lidar in flat and engineered landscapes

(2012) Paola Passalacqua et al.   WATER RESOURCES RESEARCH

A robust, two-parameter method for the extraction of drainage networks from high-resolution digital elevation models (DEMs): Evaluation using synthetic and real-world DEMs

(2012) Jon D. Pelletier   WATER RESOURCES RESEARCH

Testing space-scale methodologies for automatic geomorphic feature extraction from lidar in a complex mountainous landscape

(2011) Paola Passalacqua et al.   WATER RESOURCES RESEARCH

On the prediction of channel heads in a complex alpine terrain using gridded elevation data

(2011) Stefano Orlandini et al.   WATER RESOURCES RESEARCH

A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths

(2010) Paola Passalacqua et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Hillslope-to-valley transition morphology: New opportunities from high resolution DTMs

(2009) Paolo Tarolli et al.   GEOMORPHOLOGY