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Colin Byrne
Colin Byrne
United States Bureau of Reclamation
Bestätigte E-Mail-Adresse bei usbr.gov
Titel
Zitiert von
Zitiert von
Jahr
Evaluating the impacts of hydrologic and geomorphic alterations on floodplain connectivity
MC Stone, CF Byrne, RR Morrison
Ecohydrology 10 (5), e1833, 2017
442017
Machine learning predicts reach‐scale channel types from coarse‐scale geospatial data in a large river basin
H Guillon, CF Byrne, BA Lane, S Sandoval Solis, GB Pasternack
Water Resources Research 56 (3), e2019WR026691, 2020
302020
Soil water balance dynamics on reclaimed mine land in the southwestern United States
CF Byrne, JC Stormont, MC Stone
Journal of arid environments 136, 28-37, 2017
222017
Reach‐scale bankfull channel types can exist independently of catchment hydrology
CF Byrne, GB Pasternack, H Guillon, BA Lane, S Sandoval‐Solis
Earth Surface Processes and Landforms 45 (9), 2179-2200, 2020
172020
Mapping subaerial sand-gravel-cobble fluvial sediment facies using airborne lidar and machine learning
RD Gómez, GB Pasternack, H Guillon, CF Byrne, S Schwindt, KG Larrieu, ...
Geomorphology 401, 108106, 2022
122022
Scalable flux metrics at the channel‐floodplain interface as indicators of lateral surface connectivity during flood events
CF Byrne, MC Stone, RR Morrison
Water Resources Research 55 (11), 9788-9807, 2019
102019
Channel Constriction Predicts Pool‐Riffle Velocity Reversals Across Landscapes
CF Byrne, GB Pasternack, H Guillon, BA Lane, S Sandoval‐Solis
Geophysical Research Letters 48 (20), e2021GL094378, 2021
72021
Channel‐reach morphology and landscape properties are linked across a large heterogeneous region
B Lane, H Guillon, C Byrne, GB Pasternack, A Kasprak, S Sandoval‐Solis
Earth Surface Processes and Landforms 47 (1), 257-274, 2022
52022
A numerical investigation of the implications of altered channel-floodplain connectivity on hydrodynamic flood wave processes
CF Byrne
The University of New Mexico, 2017
42017
Can airborne lidar point clouds quantify grain size contributions to ground sediment facies?
R Diaz-Gomez, GB Pasternack, H Guillon, CF Byrne, S Sandoval Solis
AGU Fall Meeting Abstracts 2019, EP11C-2137, 2019
22019
Modeling Hydrological Connectivity Matrices due to Riparian Vegetation at the Channel-floodplain Interface
S Chaulagain, MC Stone, RR Morrison, CF Byrne
AGU Fall Meeting Abstracts 2022, H15N-0969, 2022
2022
A quantitative approach for comparing statistical classifications founded in machine learning and information theory
H Guillon, B Lane, CF Byrne, GB Pasternack, SS Solis
Authorea Preprints, 2022
2022
Evaluating the influence of erosion and tectonic processes on California's topography by measuring its fractal dimension and anisotropy across scales
H Guillon, B Lane, CF Byrne, GB Pasternack, S Sandoval Solis
EGU General Assembly Conference Abstracts, EGU21-3520, 2021
2021
A Resilience-Based Framework for Advancing Adaptive Management of Highly Regulated Rivers: A Case Study from the Middle Rio Grande, New Mexico (USA)
T Caplan, S Chaulagain, MC Stone, C McKenna, CF Byrne
AGU Fall Meeting Abstracts 2020, H154-02, 2020
2020
A quantitative description of the fractal dimension of topography across scales reveals the scale at which erosion processes fade away in the face of tectonics.
H Guillon, BAA Lane, CF Byrne, GB Pasternack, S Sandoval Solis
AGU Fall Meeting Abstracts 2020, EP036-0003, 2020
2020
Procedural Generation is the Future of Eco-Geomorphic River Design
GB Pasternack, M Zheng, CF Byrne, S Schwindt
AGU Fall Meeting 2019, 2019
2019
Self-Maintained Riffle-Pool Couplets are Less Abundant than Expected Across California's Diverse River Systems
CF Byrne, GB Pasternack, BAA Lane, H Guillon, S Sandoval Solis
AGU Fall Meeting Abstracts 2019, EP51E-2158, 2019
2019
Setting limits with limited information: A catchment-scale modeling framework to evaluate distributed human-ecological water management tradeoffs
BAA Lane, F Hung, CF Byrne, S Sandoval Solis, GB Pasternack, ...
AGU Fall Meeting Abstracts 2019, H23N-2088, 2019
2019
A comprehensive analysis of model outputs characterizes and compares machine-learning-enabled classification of rivers in seven distinct regions of California (USA)
H Guillon, CF Byrne, BAA Lane, S Sandoval Solis, GB Pasternack
AGU Fall Meeting Abstracts 2019, EP53C-06, 2019
2019
Tipping the scale: Coupling statistical scaling and geomorphic classification models to extend high-resolution ecohydraulic analysis to the network scale
BAA Lane, F Hung, J Rowles, H Guillon, CF Byrne, S Sandoval Solis, ...
AGU Fall Meeting Abstracts 2019, EP34A-02W, 2019
2019
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