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Daniel Buscombe
Daniel Buscombe
USGS/Marda Science. Affiliate and former research professor, Northern Arizona University
Bestätigte E-Mail-Adresse bei nau.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Concepts in gravel beach dynamics
D Buscombe, G Masselink
Earth-Science Reviews 79 (1-2), 33-52, 2006
2882006
A universal approximation of grain size from images of noncohesive sediment
D Buscombe, DM Rubin, JA Warrick
Journal of Geophysical Research: Earth Surface 115 (F2), 2010
1482010
Transferable wavelet method for grain‐size distribution from images of sediment surfaces and thin sections, and other natural granular patterns
D Buscombe
Sedimentology 60 (7), 1709-1732, 2013
1402013
Processing coastal imagery with Agisoft Metashape Professional Edition, version 1.6—Structure from motion workflow documentation
JSR Over, AC Ritchie, CJ Kranenburg, JA Brown, DD Buscombe, T Noble, ...
Open-File Report, 2021
1282021
Landscape classification with deep neural networks
D Buscombe, AC Ritchie
Geosciences 8 (7), 244, 2018
1132018
Grain‐size information from the statistical properties of digital images of sediment
D Buscombe, G Masselink
Sedimentology 56 (2), 421-438, 2009
1112009
Estimation of grain-size distributions and associated parameters from digital images of sediment
D Buscombe
Sedimentary Geology 210 (1-2), 1-10, 2008
1092008
Cobble Cam: Grain‐size measurements of sand to boulder from digital photographs and autocorrelation analyses
JA Warrick, DM Rubin, P Ruggiero, JN Harney, AE Draut, D Buscombe
Earth Surface Processes and Landforms: The Journal of the British …, 2009
1082009
The future of coastal monitoring through satellite remote sensing
S Vitousek, D Buscombe, K Vos, PL Barnard, AC Ritchie, JA Warrick
Cambridge Prisms: Coastal Futures 1, e10, 2023
852023
Shallow water benthic imaging and substrate characterization using recreational-grade sidescan-sonar
D Buscombe
Environmental Modelling & Software 89, 1-18, 2017
782017
SediNet: A configurable deep learning model for mixed qualitative and quantitative optical granulometry
D Buscombe
Earth Surface Processes and Landforms 45 (3), 638-651, 2020
752020
Morphological change and sediment dynamics of the beach step on a macrotidal gravel beach
MJ Austin, D Buscombe
Marine Geology 249 (3-4), 167-183, 2008
722008
Barrier dynamics experiment (BARDEX): Aims, design and procedures
JJ Williams, D Buscombe, G Masselink, IL Turner, C Swinkels
Coastal Engineering 63, 3-12, 2012
572012
Automated riverbed sediment classification using low-cost sidescan sonar
D Buscombe, PE Grams, SMC Smith
Journal of Hydraulic Engineering 142 (2), 06015019, 2016
552016
Currents, drag, and sediment transport induced by a tsunami
JR Lacy, DM Rubin, D Buscombe
Journal of Geophysical Research: Oceans 117 (C9), 2012
472012
Benchmarking satellite-derived shoreline mapping algorithms
K Vos, KD Splinter, J Palomar-Vázquez, JE Pardo-Pascual, ...
Communications Earth & Environment 4 (1), 345, 2023
452023
Optical wave gauging using deep neural networks
D Buscombe, RJ Carini, SR Harrison, CC Chickadel, JA Warrick
Coastal Engineering 155, 103593, 2020
452020
Characterizing riverbed sediment using high‐frequency acoustics: 1. Spectral properties of scattering
D Buscombe, PE Grams, MA Kaplinski
Journal of Geophysical Research: Earth Surface 119 (12), 2674-2691, 2014
442014
Estimating the settling velocity of bioclastic sediment using common grain‐size analysis techniques
MVW Cuttler, RJ Lowe, JL Falter, D Buscombe
Sedimentology 64 (4), 987-1004, 2017
402017
A data-driven approach to classifying wave breaking in infrared imagery
D Buscombe, RJ Carini
Remote Sensing 11 (7), 859, 2019
392019
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