Vermont EPSCoR Publications and Products


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2017
Hamshaw SD, Dewoolkar MM, Bryce TG, Rizzo DM, O'Neil-Dunne J, Frolik J, Engel T. Comparison of Unmanned Aircraft Systems (UAS) to LIDAR for Streambank Erosion Measurement at the Site-Specific Scale. Vermont Geospatial Forum 2017 [Internet]. 2017 . Available from: http://vcgi.vermont.gov/event/forum_2017/poster_gallery
Hamshaw SD. Fluvial Processes in Motion: Measuring Bank Erosion and Suspended Sediment Flux using Advanced Geomatics and Machine Learning. Burlington, VT: University of Vermont; 2017.
Hamshaw SD, Bryce TG, O'Neil-Dunne J, Rizzo DM, Frolik J, Engel T, Dewoolkar MM. Quantifying streambank erosion using unmanned aerial systems at the site-specific and river network scales. In: Geo-Congress 2017 (Geotechnical Frontiers). Geo-Congress 2017 (Geotechnical Frontiers). Orlando, FL; 2017.
Hamshaw SD, Bryce TG, Rizzo DM, O'Neil-Dunne J, Frolik J, Dewoolkar MM. Quantifying streambank movement and topography using unmanned aircraft system photogrammetry with comparison to terrestrial laser scanning. River Research and Applications [Internet]. 2017 ;33(8):1354 - 1367. Available from: http://doi.wiley.com/10.1002/rra.3183http://onlinelibrary.wiley.com/wol1/doi/10.1002/rra.3183/fullpdfhttp://api.wiley.com/onlinelibrary/chorus/v1/articles/10.1002%2Frra.3183https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Frra.3183
2014
Hamshaw SD, Rizzo DM, Underwood KL, Wemple B, Dewoolkar MM. High Frequency Turbidity Monitoring to Quantify Sediment Loading in the Mad River. 2014 NEAEB Conference. 2014 [cited 0BC].
Anderson HV, Hamshaw SD, Rizzo DM, Underwood KL, Dewoolkar MM, Bomblies A, Schroth AW, Miatke B. Quantifying Sediment and Phosphorous Loading from Streambank Erosion using Terrestrial Laser Scanning to Support Sediment and Nutrient Budgets. 2014 AGU (American Geophysical Union) Fall Meeting. 2014 .
Hamshaw SD, Rizzo DM, Underwood KL, Wemple B, Dewoolkar MM. Suspended Sediment Prediction. In: 2014 NEAEB. 2014 NEAEB. Burlington VT; 2014.
Hamshaw SD. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data (M.S. Thesis). Burlington VT: University of Vermont; 2014.
Hamshaw SD, Rizzo DM, Underwood KL, Wemple B, Dewoolkar MM. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data. 2014 NEAEB Conference. 2014 .
Hamshaw SD, Underwood KL, Rizzo DM, Wemple B, Dewoolkar MM. Using Distributed Continuous Turbidity Monitoring to Inform Sediment and Sediment-bound Nutrient Budgets in a Small Watershed. 2014 AGU (American Geophysical Union) Fall Meeting. 2014 .

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