Peer-reviewed journal articles
Zheng*, X., L. Godbout*, J. Zheng*, C. McCormick, P. Passalacqua (2019), An automatic and objective approach to hydro-flatten high resolution topographic data, Environmental Modeling & Software, 116, 72-86, doi:10.1016/j.envsoft.2019.02.007. This paper covers hydroflattening based on GeoNet.
Zheng*, X., D. Maidment, D. Tarboton, Y. Liu, P. Passalacqua (2018), GeoFlood: Large scale flood inundation mapping based on high resolution terrain analysis, Water Resources Research, 54, 10013-10033, doi:10.1029/2018WR023457. This paper presents GeoFlood, which combines GeoNet and HAND for flood inundation mapping.
Sangireddy, H.*, C.P. Stark, A. Kladzyk*, Passalacqua, P. (2016). GeoNet: An open source software for the automatic and objective extraction of channel heads, channel network, and channel morphology from high resolution topography data, Environmental Modeling and Software, 83, 58-73, doi:10.1016/j.envsoft.2016.04.026. This paper covers the latest changes to the GeoNet method and the GeoNet software, including the Python version.
Passalacqua, P., P. Belmont, and E. Foufoula-Georgiou (2012), Automatic channel network and geomorphic feature extraction in flat and engineered landscapes, Water Resour. Res., 48, W03528, doi:10.1029/2011WR010958. This paper covers the application of GeoNet to a flat and engineered landscape with both natural and artificial channels.
Passalacqua, P., P. Tarolli, and E. Foufoula-Georgiou (2010), Testing space-scale methodologies for automatic geomorphic feature extraction from lidar in a complex mountainous landscape, Water Resour. Res., 46, W11535, doi:10.1029/2009WR008812. This paper presents a comparison between GeoNet, the wavelet based method of Lashermes et al and classic steepest descent channel extraction methods.
Passalacqua, P., T. Do Trung, E. Foufoula-Georgiou, G. Sapiro, and W. E. Dietrich (2010), A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths, J. Geophys. Res., 115, F01002, doi:10.1029/2009JF001254. This paper covers the GeoNet method, including nonlinear filtering and geodesic minimization principles.
Seminars and conference presentations
Passalacqua, P., Will your house be flooded? Improving flood forecasting and emergency response with high-resolution terrain data and continental scale modeling, UT Austin Alumni Seminar, Houston, April 2017.
Passalacqua, P., The analysis of geomorphic features in the digital terrain era, University of Houston, Houston, February 2017.
Passalacqua, P., The analysis of geomorphic features in the digital terrain era, Pontificia Universidad Catolica de Chile, Santiago, Chile, June 2016.
Passalacqua, P., H. Sangireddy*, and C. P. Stark, Multi-resolution analysis of landscape characteristic length scales, Japan Geoscience Union Meeting 2016, Makuhari Messe, Japan, May 2016.
Passalacqua, P., H. Sangireddy*, and C. P. Stark, Multi-scale Analysis of high resolution topography: Feature extraction and identification of landscape characteristic scales, American Geophysical Union AGU Fall Meeting, San Francisco, CA, December 2015.
Passalacqua, P., and H. Sangireddy, GeoNet: An automatic tool for channel network and channel heads extraction from digital terrain data, USGS cyberseminar, April 2014, Invited.
Passalacqua, P., The analysis of geomorphic features in the digital terrain era, Utah State University, Dept. of Watershed Sciences, February 2014, Invited.
Carothers, R., H. Sangireddy, and P. Passalacqua, Revisiting Melton: Analyzing the correlation structure of geomorphological and climatological parameters, EP53C-0841, American Geophysical Union AGU Fall Meeting, San Francisco, CA, December 2013.
Sangireddy, H., P. Passalacqua, and C. P. Stark, A multi-resolution analysis of lidar-DTMs to identify geomorphic processes from characteristic topographic length scales, EP53A-0786, American
Geophysical Union AGU Fall Meeting, San Francisco, CA, December 2013.
Passalacqua, P., H. Sangireddy, and C.P. Stark, The analysis of geomorphic features in the digital terrain era, Geological Society of America GSA Annual Meeting, Denver, CO, October 2013, Invited.
Passalacqua, P., From seeing to extracting: Geomorphologically relevant image processing, EGU Summer School, August 2013, Invited.
Passalacqua, P., and C. P. Stark, Understanding the interaction of climate, vegetation, channelization, and landsliding through lidar analysis, H21B-1171, American Geophysical Union AGU Fall Meeting, San Francisco, CA, December 2012, Invited.
Sangireddy, H., P. Passalacqua, and C. P. Stark, Multi-resolution estimation of lidar-DTM surface flow metrics to identify characteristic topographic length scales, EP13C-0859, American Geophysical Union AGU Fall Meeting, San Francisco, CA, December 2012.
Passalacqua, P., Climatological, vegetational, and anthropogenic controls on channelization and shallow landsliding, Summer Institute on Earth-surface Dynamics, August 2012, Invited.
Passalacqua, P.,and C. P. Stark, Climate, vegetation, channelization, and landsliding interaction: Insights from lidar analysis and theoretical modeling, CUAHSI (Consortium of Universities for the Advancement of Hydrologic Science, Boulder, CO, July 2012, Invited.
Passalacqua, P., C. P. Stark, and H. Sangireddy, GeoNet: Nonlinear filtering and geodesic minimization principles for geomorphic feature extraction from high resolution topographic data, EP51E-02, American Geophysical Union AGU Fall Meeting, San Francisco, CA, December 2011, Invited.
Passalacqua, P., P. Belmont, and E. Foufoula-Georgiou, Automatic geomorphic feature extraction from lidar in flat and engineered landscapes, H11L-06, American Geophysical Union AGU Fall Meeting, San Francisco, CA, December 2011, Invited.
Passalacqua, P., 2011. Nonlinear diffusion and geodesic paths for automatic channel network and geomorphic feature extraction from lidar, 2011 GSA Annual Meeting in Minneapolis (9–12 October 2011), Paper No. 165-1, Invited.
Passalacqua, P., C. P. Stark, Y. S. Hayakawa, Z. Lin, T. Oguchi, and T. Hattanji, The objective mapping of channel initiation and landsliding on lidar DTMs in Japan and their interaction with vegetation, Geophysical Research Abstracts (12), EGU2011-5309, European Geosciences Union Meeting EGU, Vienna, Austria, April 2011.
Hayakawa, Y. S., C. P. Stark, P. Passalacqua, T. Oguchi. Channel initiation and landsliding: objective mapping on lidar DTMs in Japan, Abstract EP21A-0742 presented at 2010 Fall Meeting, AGU, San Francisco, Calif., 13-17 Dec.
Passalacqua, P., and E. Foufoula-Georgiou, Automatic channel network extraction from lidar through nonlinear diffusion and geodesic paths, Geophysical Research Abstracts (12), EGU2010-14063, European Geosciences Union Meeting EGU, Vienna, Austria, May 2010.
Passalacqua, P., P. Tarolli, and E. Foufoula-Georgiou, Space-scale methodologies for geomorphic feature extraction from LiDAR: An assessment, EP31A-0584, American Geophysical Union AGU Fall Meeting, San Francisco, CA, December 2009.
Passalacqua, P., T. Do Trung, E. Foufoula-Georgiou, G. Sapiro, and W. E. Dietrich, River network extraction from LiDAR using backwards-in-time diffusion?, H31G-0968, American Geophysical Union AGU Fall Meeting, San Francisco, CA, December 2008.
Tarolli, P., P. Passalacqua, E. Foufoula-Georgiou, and W. E. Dietrich, Testing the next generation of algorithms for geomorphic feature extraction from LiDAR: A case study in the Rio Cordon Basin, Italy, H51D-0840, American Geophysical Union AGU Fall Meeting, San Francisco, CA, December 2008.