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Mapping urban land cover using multi-scale segmentation and LiDAR data
Title
Mapping urban land cover using multi-scale segmentation and LiDAR data.
Creator
Selch, Donna, Graduate College
Date Issued
2013-04-12
PURL
http://purl.flvc.org/fcla/dt/3361353
Subject Headings
Lidar, Aerial photography, Land cover
Format
Document (PDF)
Improved LLS imaging performance in scattering-dominant waters
Title
Improved LLS imaging performance in scattering-dominant waters.
Creator
Dalgleish, Fraser R., Caimi, F. M., Britton, W. B., Andren, C. F.
Date Issued
2009
PURL
http://purl.flvc.org/FCLA/DT/3183174
Subject Headings
Underwater imaging systems, Lidar, Image Quality
Format
Document (PDF)
Characterization and Modeling of Profiling Oceanographic Lidar for Remotely Sampling Ocean Optical Properties
Title
Characterization and Modeling of Profiling Oceanographic Lidar for Remotely Sampling Ocean Optical Properties.
Creator
Strait, Christopher, Nayak, Aditya, Florida Atlantic University, Department of Ocean and Mechanical Engineering, College of Engineering and Computer Science
Abstract/Description
Lidar has the ability to supplant or compliment many current measurement technologies in ocean optics. Lidar measures Inherent Optical Properties over long distances without impacting the orientation and assemblages of particles it measures, unlike many systems today which require pumps and flow cells. As an active sensing technology, it has the benefit of being independent of time of day and weather. Techniques to interpret oceanographic lidar lags behind atmospheric lidar inversion...
Show moreLidar has the ability to supplant or compliment many current measurement technologies in ocean optics. Lidar measures Inherent Optical Properties over long distances without impacting the orientation and assemblages of particles it measures, unlike many systems today which require pumps and flow cells. As an active sensing technology, it has the benefit of being independent of time of day and weather. Techniques to interpret oceanographic lidar lags behind atmospheric lidar inversion techniques to measure optical properties due to the complexity and variability of the ocean. Unlike in the atmosphere, two unknowns in the lidar equation backscattering at 180o (𝛽𝜋) and attenuation (c) do not necessarily covary. A lidar system developed at the Harbor Branch Oceanographic Institute is used as a test bed to validate a Monte-Carlo model to investigate the inversion of optical properties from lidar signals. Controlled tank experiments and field measurements are used to generate lidar waveforms and provide optical situations to model. The Metron EODES backscatter model is used to model waveforms. A chlorophyll based forward optical model provides a set of 1500 unique optical situations which are modeled to test inversion techniques and lidar geometries. Due to issues with the lidar system and model the goal of validating the model as well as a more mature inversion experiment were not completed. However, the results are valuable to show the complexity and promise of lidar systems.
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Date Issued
2020
PURL
http://purl.flvc.org/fau/fd/FA00013631
Subject Headings
Lidar, Remote sensing, Seawater--Optical properties
Format
Document (PDF)
Evaluating the Impact of LiDAR DEM Uncertainties on Inundation Modeling in Coastal Sub-Watersheds: An Exploration Via Deterministic and Probabilistic Approaches
Title
Evaluating the Impact of LiDAR DEM Uncertainties on Inundation Modeling in Coastal Sub-Watersheds: An Exploration Via Deterministic and Probabilistic Approaches.
Creator
Thapa, Madan Chhetri, Zhang, Caiyun, Su, Hongbo, Florida Atlantic University, Department of Geosciences, Charles E. Schmidt College of Science
Abstract/Description
This study examines the impact of uncertainty associated with Light Detection and Ranging (LiDAR) derived Digital Elevation Models (DEMs) on flood risk mapping in the North Biscayne Bay sub-watershed. A comparison of flood extent and generation of the probability of flooding was carried out using the bathtub and probabilistic approaches respectively. The water level was computed separately for original and refined DEM using Cascade 2001 hydrological model. Using land cover based corrected...
Show moreThis study examines the impact of uncertainty associated with Light Detection and Ranging (LiDAR) derived Digital Elevation Models (DEMs) on flood risk mapping in the North Biscayne Bay sub-watershed. A comparison of flood extent and generation of the probability of flooding was carried out using the bathtub and probabilistic approaches respectively. The water level was computed separately for original and refined DEM using Cascade 2001 hydrological model. Using land cover based corrected DEMs reveals a 12% reduction in flooded areas in contrast to original DEM, considering uncertainties associated with land cover. Probabilistic flood modeling via Gaussian Geostatistical Simulation accounts for DEM uncertainty, yielding nuanced probability flood risk maps (0-100%). Findings emphasize DEM refinement before conducting flood mapping to address uncertainties. Future research should explore other mediums of correction incorporating effects of point density of LiDAR, methods of DEM generation, use of diverse scenarios, and kriging techniques for flood modeling and mapping while using LiDAR derived DEM.
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Date Issued
2024
PURL
http://purl.flvc.org/fau/fd/FA00014476
Subject Headings
Biscayne Bay (Fla.), Lidar, Digital elevation models
Format
Document (PDF)
Performance considerations for continuous-wave and pulsed laser line scan (LLS) imaging systems.
Title
Performance considerations for continuous-wave and pulsed laser line scan (LLS) imaging systems.
Creator
Caimi, F. M., Dalgleish, Fraser R.
Date Issued
2010
PURL
http://purl.flvc.org/fau/fd/FA00007112
Subject Headings
Underwater imaging systems, Lasers, Light--Scattering, Lidar, Radiative transfer
Format
Document (PDF)