Следене
Scott Hamshaw
Scott Hamshaw
Machine Learning Specialist, U.S. Geological Survey
Потвърден имейл адрес: uvm.edu
Заглавие
Позовавания
Позовавания
Година
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
872018
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
482019
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
432019
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
422017
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
332014
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
322022
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
202021
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
102021
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
102019
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
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
52019
Automating the Classification of Hysteresis in Event Concentration-Discharge Relationships
SD Hamshaw, D Denu, M Holthuijzen, S Wshah, DM Rizzo
SedHyd 2019, 2019
42019
Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations
JA Zwart, J Diaz, S Hamshaw, S Oliver, J Ross, M Sleckman, A Appling, ...
Frontiers in Water 5, 1184992, 2023
32023
Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data
SD Hamshaw
University of Vermont, 2014
32014
Evaluating opportunities for broad-scale remote sensing of total suspended solids on small rivers
RM Diehl, KL Underwood, R Watt, SD Hamshaw, N Pahlevan
Remote Sensing Applications: Society and Environment 35, 101234, 2024
22024
Solute export patterns across the contiguous USA
DW Kincaid, KL Underwood, SD Hamshaw, L Li, EC Seybold, B Stewart, ...
Hydrological Processes 38 (6), e15197, 2024
22024
Fluvial Processes in Motion: Measuring Bank Erosion and Suspended Sediment Flux using Advanced Geomatic Methods and Machine Learning
SD Hamshaw
University of Vermont, 2018
22018
Resistance, recovery, and resilience: rethinking the three Rs of survival in the Anthropocene
BW Abbott, KL Underwood, EC Seybold, D Kincaid, SD Hamshaw, ...
Authorea Preprints, 2023
12023
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
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