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[ADVANCED] References

  • Buscombe, D. and Ritchie, A.C., 2018. Landscape classification with deep neural networks. Geosciences, 8(7), p.244. link

  • Buscombe, D., 2017. Shallow water benthic imaging and substrate characterization using recreational-grade sidescan-sonar. Environmental modelling & software, 89, pp.1-18.

  • Buscombe, D., Grams, P.E. and Smith, S.M., 2016. Automated riverbed sediment classification using low-cost sidescan sonar. Journal of Hydraulic Engineering, 142(2), p.06015019.

  • Goldstein, E.B., Mohanty, S.D., Rafique, S.N. and Valentine, J., 2020. An Active Learning Pipeline to Detect Hurricane Washover in Post-Storm Aerial Images. https://eartharxiv.org/repository/view/1856/, https://doi.org/10.31223/X5JW23

  • Lazarus, E.D., Goldstein, E.B., Taylor, L.A. and Williams, H.E., 2021. Comparing patterns of hurricane washover into built and unbuilt environments. Earth's Future, 9(3), p.e2020EF001818. https://doi.org/10.1029/2020EF001818

  • Vos, K., Harley, M.D., Splinter, K.D., Simmons, J.A. and Turner, I.L., 2019. Sub-annual to multi-decadal shoreline variability from publicly available satellite imagery. Coastal Engineering, 150, pp.160-174. https://doi.org/10.1016/j.coastaleng.2019.04.004

  • Vos, K., Harley, M.D., Splinter, K.D., Walker, A. and Turner, I.L., 2020. Beach Slopes From Satellite‐Derived Shorelines. Geophysical Research Letters, 47(14), p.e2020GL088365. https://doi.org/10.1029/2020GL088365

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