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Scott Hamshaw
Scott Hamshaw
Machine Learning Specialist, U.S. Geological Survey
Verified email at uvm.edu
Title
Cited by
Cited by
Year
A New Machine‐Learning Approach for Classifying Hysteresis in Suspended‐Sediment Discharge Relationships Using High‐Frequency Monitoring Data
SD Hamshaw, MM Dewoolkar, AW Schroth, BC Wemple, DM Rizzo
Water Resources Research, 2018
702018
Quantifying streambank movement and topography using unmanned aircraft system photogrammetry with comparison to terrestrial laser scanning
SD Hamshaw, T Bryce, DM Rizzo, J O'Neil‐Dunne, J Frolik, ...
River Research and Applications 33 (8), 1354-1367, 2017
402017
Application of unmanned aircraft system (UAS) for monitoring bank erosion along river corridors
SD Hamshaw, T Engel, DM Rizzo, J O’Neil-Dunne, MM Dewoolkar
Geomatics, Natural Hazards and Risk 10 (1), 1285-1305, 2019
382019
Impact of an Extreme Storm Event on River Corridor Bank Erosion and Phosphorus Mobilization in a Mountainous Watershed in the Northeastern United States
DS Ross, BC Wemple, LJ Willson, CM Balling, KL Underwood, ...
Journal of Geophysical Research: Biogeosciences 124 (1), 18-32, 2019
332019
Rapid Flood Exposure Assessment of Vermont Mobile Home Parks Following Tropical Storm Irene
D Baker, SD Hamshaw, KA Hamshaw
Natural Hazards Review 15 (1), 27-37, 2014
272014
Multivariate event time series analysis using hydrological and suspended sediment data
A Javed, SD Hamshaw, BS Lee, DM Rizzo
Journal of Hydrology 593, 125802, 2021
152021
Data imputation for multivariate time series sensor data with large gaps of missing data
R Wu, SD Hamshaw, L Yang, DW Kincaid, R Etheridge, A Ghasemkhani
IEEE Sensors Journal 22 (11), 10671-10683, 2022
112022
Quantifying Streambank Erosion Using Unmanned Aerial Systems at Site-Specific and River Network Scales
SD Hamshaw, T Bryce, J O’Neil Dunne, DM Rizzo, J Frolik, T Engel, ...
Geotechnical Frontiers 2017, 499-508, 2017
102017
Optimization of over-summer snow storage at midlatitudes and low elevation
HS Weiss, PR Bierman, Y Dubief, SD Hamshaw
The Cryosphere 13 (12), 3367-3382, 2019
82019
Analysis of hydrological and suspended sediment events from Mad River watershed using multivariate time series clustering
A Javed, SD Hamshaw, DM Rizzo, BS Lee
arXiv preprint arXiv:1911.12466, 2019
42019
Automating the Classification of Hysteresis in Event Concentration-Discharge Relationships
SD Hamshaw, D Denu, M Holthuijzen, S Wshah, DM Rizzo
SedHyd 2019, 2019
42019
Data Regression Framework for Time Series Data with Extreme Events
Y Zhang, J Li, A Carlo, AK Manda, S Hamshaw, SM Dascalu, FC Harris, ...
2021 IEEE International Conference on Big Data (Big Data), 5327-5336, 2021
32021
Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data
SD Hamshaw
University of Vermont, 2014
32014
Earth and planetary surface processes perspectives on integrated, coordinated, open, networked (ICON) science
CM Burberry, A Flatley, A Gray, J Guilinger, S Hamshaw, K Hill, Y Mu, ...
Earth and Space Science 9 (8), e2022EA002414, 2022
12022
Automated Cleaning of Multiple Time Series Data from the Sleepers Research River Watershed
BS Lee, J Shanley, Z Fogg, J Rubin, S Hamshaw, D Rizzo, J Perdrial
AGU Fall Meeting Abstracts 2021, H45F-1245, 2021
12021
Unmanned Aircraft System (UAS) Photogrammetry for Tracking Streambank Erosion and Geomorphic Change along a Protected River Corridor
SD Hamshaw, KL Underwood, DM Rizzo, J O’Neil-Dunne, MM Dewoolkar
Eighth International Conference on Case Histories in Geotechnical Engineering, 2019
12019
Evaluating visual classification of suspended sediment-discharge hysteresis via crowd-sourcing and in-stream monitoring
ET Romero, N Davila Torres, SD Hamshaw, D Denu, MM Dewoolkar, ...
AGU Fall Meeting Abstracts 2018, EP33C-2430, 2018
12018
Fluvial Processes in Motion: Measuring Bank Erosion and Suspended Sediment Flux using Advanced Geomatic Methods and Machine Learning
SD Hamshaw
University of Vermont, 2018
12018
Classification and prediction of event-based suspended sediment dynamics using artificial neural networks
SD Hamshaw, K Underwood, BC Wemple, D Rizzo
AGU Fall Meeting Abstracts 2016, H23B-1545, 2016
12016
Leveraging High Resolution Sensor Data and Large-Scale Physical Models to Monitor and Forecast Critical Water Quality Parameters in Sensitive Watersheds
JT Kemper, K Underwood, SD Hamshaw, JB Shanley, AW Schroth
AGU23, 2023
2023
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