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Browsing Civil and Environmental Engineering publications and data sets by Issue Date
Now showing items 1-19 of 19
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Backscattering anisotropy near $180^{\circ}$: an indication of particle size and shape
Clavano, Wilhelmina R.; Boss, Emmanuel; Agrawal, Yogesh C. (2006-03-01)By modelling the single scattering of particles in the exact backward direction ($180^{\circ}$) and $5^{\circ}$ around, the field of view of an instrument measuring backscattering is simulated. Calculations of the scattering ... -
The off-specular peak and polarisation effects of an undulating underwater suface
Clavano, Wilhelmina R.; Philpot, William D. (2006-03-03)Periodic undulations are used to describe underwater bottom roughness. An expression of the bi-directional reflectance distribution function (BRDF) is given that is dependent on the given roughness metric. Highlights include ... -
Reflections and the focusing effect from an ideal three-dimensional rough surface
Clavano, Wilhelmina R.; Philpot, William D. (2006-03-04)An analytical expression for higher-order reflectances from a shallow-water homogeneous ocean bottom modeled as an egg-carton surface is presented. Roughness of this ideal surface is expressed as the amplitude-to-length ... -
Appendix A: Standard Words, Phrases, Acronyms
Philpot, William (2019) -
Airborne Laser Hydrography II
Philpot, William (2019)This book was written to document and share our updated knowledge of airborne lidar hydrography gained since Gary C. Guenther wrote the original seminal book Airborne Laser Hydrography - System Design and Performance Factors ... -
Foreword
Guenther, Gary (2019) -
Chapter 4: Basic Concepts and System Design
Feygels, Viktor; Kopilevich, Yuri; Kim, Minsu; LaRocque, Paul; Pe'eri, Shachak; Philpot, William (2019)All airborne lidar bathymeter (ALB) systems locate the bottom of a water body by tracking the progression of a short light pulse from its initial contact with the water surface through its interaction with the bottom. The ... -
Chapter 7: Applications, Ancillary Systems, and Fusion
Wozencraft, Jennifer; Eisemann, Eve; Reif, Molly; Dunkin, Lauren (2019)The number of applications for ALB data has grown exponentially since the first systems became operational in the late 1980's and early 1990's. In those early days, the primary application was nautical charting. Since then, ... -
Chapter 5: Basic Concepts in Data Processing
Feygels, Viktor; Kopilevich, Yuri; Kim, Minsu; Wang, Chi-Kuei (2019)This chapter details the various data processing steps used to retrieve useful data from the lidar waveform (other than depth of an individual pulse). The introductory section describes the sequence of coordinate transformations ... -
Chapter 6: Performance Evaluation
Pe'eri, Shackak; Parrish, Christopher; Johnson, Nicholas; Macon, Christopher; White, Stephen (2019)In order to be able to provide a clean georeferenced point cloud for analysis and production, it is important to conduct a performance evaluation of an ALB system prior to conducting a survey. The term "performance evaluation" ... -
Chapter 3: Environmental Optical Properties
Pe'eri, Shachak; Feygels, Viktor; Tingaker, Torbjorn; Kopilevich, Yuri; Kim, Minsu; Philpot, William; Wang, Chi-Kuei (2019)When the lidar pulse is transmitted out of the ALB system, it interacts with various environmental regions from the time of transmission until the pulse is reflected from the seafloor and received back at the ALB detector. ... -
Chapter 2: History
Wozencraft, Jennifer; LaRocque, Paul; Penley, Mark; Pfennigbauer, Martin (2019)The early years of laser hydrography have been traced by Guenther (1985). His review tracks the development of laser hydrography, now more commonly known as Airborne Laser Bathymetry (ALB), from the earliest theoretical ... -
Appendix B: List of Symbols
Philpot, William (2019) -
Chapter 1: Introduction
Lillycrop, W. Jeff (2019) -
References
Philpot, William (2019) -
Code and data from: Characterizing Evaporation Ducts Within the Marine Atmospheric Boundary Layer Using Artificial Neural Networks
Sit, Hilarie; Earls, Christopher J (2019-10-22)Abstract: We apply a multilayer perceptron machine learning (ML) regression approach to infer electromagnetic (EM) duct heights within the marine atmospheric boundary layer (MABL) using sparsely sampled EM propagation data ... -
Code and data from: Gaussian Process Regression for Estimating EM Ducting Within the Marine Atmospheric Boundary Layer
Sit, Hilarie; Earls, Christopher J (2019-11-26)We show that Gaussian process regression (GPR) can be used to infer the electromagnetic (EM) duct height within the marine atmospheric boundary layer (MABL) from sparsely sampled propagation factors within the context of ... -
Postprocessed large-eddy simulation data from: Connection between mass flux transport and eddy diffusivity in convective atmospheric boundary layers
Li, Qi; Cheng, Yu; Gentine, Pierre (2021-05-06)Turbulence parameterizations for convective boundary layer in coarse-scale atmospheric models usually consider a combination of the eddy-diffusive transport and a non-local transport, typically in the form of a mass flux ... -
Infrared Quantitative Imaging Velocimetry (IR-QIV) data supporting Schweitzer & Cowen, 2021, WRR
Schweitzer, Seth; Cowen, Edwin A. (Todd) (2021-07-07)This data set contains infrared images and velocity measurements collected at two sites on the Sacramento River, and one of its tributaries, near Sacramento, California, USA, in November 2017. Details on the data collection ...