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Advanced underwater laser systems for ranging, size estimation and profiling
Title
Advanced underwater laser systems for ranging, size estimation and profiling.
Creator
Caimi, F. M., Blatt, J. H., Grossman, B. G., Smith, David, Hooker, J., Kocak, D. M., Gonzalez, F., Harbor Branch Oceanographic Institute
Date Issued
1993
PURL
http://purl.flvc.org/FCLA/DT/3338508
Subject Headings
Underwater photography, Photogrammetry, Lasers
Format
Document (PDF)
Laser systems and structured illumination for quantitative undersea imaging
Title
Laser systems and structured illumination for quantitative undersea imaging.
Creator
Tusting, Robert F., Davis, D. L., Harbor Branch Oceanographic Institute
Date Issued
1992
PURL
http://purl.flvc.org/FCLA/DT/3338509
Subject Headings
Underwater imaging systems, Lasers, Photogrammetry, Underwater photography
Format
Document (PDF)
Monitor mission
Title
Monitor mission.
Creator
Cook, Roger W., Prentice, Jeffrey R.
Date Issued
1977
PURL
http://purl.flvc.org/fcla/dt/3358613
Subject Headings
Photogrammetry, USS Monitor (Ironclad), Monitor (Ironclad)
Format
Document (PDF)
SCLERACTINIAN CORAL COMMUNITY DEMOGRAPHICS AND RECRUITMENT PATTERNS IN SOUTHEAST FLORIDA
Title
SCLERACTINIAN CORAL COMMUNITY DEMOGRAPHICS AND RECRUITMENT PATTERNS IN SOUTHEAST FLORIDA.
Creator
Haymaker, Caroline, Voss, Joshua D., Florida Atlantic University, Department of Biological Sciences, Charles E. Schmidt College of Science
Abstract/Description
Quantifying and understanding coral community dynamics, including recruitment, is critical for developing effective ecosystem management strategies, particularly in areas that have experienced significant coral losses such as Southeast Florida’s Kristin Jacobs Coral Reef Ecosystem Conservation Area. While several federal, state, and regional efforts effectively track annual changes in juvenile and adult coral colonies, few coral reef monitoring programs are designed to track new coral...
Show moreQuantifying and understanding coral community dynamics, including recruitment, is critical for developing effective ecosystem management strategies, particularly in areas that have experienced significant coral losses such as Southeast Florida’s Kristin Jacobs Coral Reef Ecosystem Conservation Area. While several federal, state, and regional efforts effectively track annual changes in juvenile and adult coral colonies, few coral reef monitoring programs are designed to track new coral recruitment. This study’s aims were to assess potential differences in community composition of adult and recruit stony corals in southeast Florida using phototransects, and to test the efficacy of eDNA approaches for monitoring coral recruitment. Replicate phototransects demonstrated significant differences in recruit density and community composition across sites. This photogrammetry approach was more applicable than eDNA and indicates that site specific management and restoration strategies in a regional context may be warranted for the study area.
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Date Issued
2022
PURL
http://purl.flvc.org/fau/fd/FA00013946
Subject Headings
Corals--Florida, Scleractinia, Coral communities, Photogrammetry
Format
Document (PDF)
Recent advances in quantitative undersea photographic methods
Title
Recent advances in quantitative undersea photographic methods.
Creator
Tusting, Robert F., Davis, D. L., Harbor Branch Oceanographic Institute
Date Issued
1992
PURL
http://purl.flvc.org/FCLA/DT/3338504
Subject Headings
Underwater photography, Photogrammetry, Underwater imaging systems, Photography--methods
Format
Document (PDF)
Use of photogrammetric techniques to monitor coral reef recovery following a major ship grounding
Title
Use of photogrammetric techniques to monitor coral reef recovery following a major ship grounding.
Creator
Hanisak, M. Dennis, Blair, Stephen M., Reed, John K.
Date Issued
1989
PURL
http://purl.flvc.org/fau/fd/FA00007250
Subject Headings
Photogrammetry, Coral reef restoration, Florida Keys National Marine Sanctuary (Fla.)
Format
Document (PDF)
A review of recent underwater imaging methods and advancements
Title
A review of recent underwater imaging methods and advancements.
Creator
Caimi, F. M., Harbor Branch Oceanographic Institute
Date Issued
1996
PURL
http://purl.flvc.org/FCLA/DT/3351972
Subject Headings
Underwater imaging systems, Photogrammetry, Image compression, Image processing, Review
Format
Document (PDF)
CHARACTERIZING THE IMPACTS OF STONY CORAL TISSUE LOSS DISEASE ON CORAL IN SOUTHEAST FLORIDA USING 3D PHOTOGRAMMETRY
Title
CHARACTERIZING THE IMPACTS OF STONY CORAL TISSUE LOSS DISEASE ON CORAL IN SOUTHEAST FLORIDA USING 3D PHOTOGRAMMETRY.
Creator
Combs, Ian R., Voss, Joshua D., Florida Atlantic University, Department of Biological Sciences, Charles E. Schmidt College of Science
Abstract/Description
Since 2014 stony coral tissue loss disease (SCTLD) has contributed substantially to declines of reef-building corals in Florida. Monthly surveys were conducted throughout the northern Florida reef tract to monitor the spread and impacts of SCTLD on a larger spatial scale. SCTLD disease prevalence was lower in Palm Beach County than in Broward or Martin County, but there were no significant changes in prevalence over time. To assess colony level impacts of the disease, this study optimized a...
Show moreSince 2014 stony coral tissue loss disease (SCTLD) has contributed substantially to declines of reef-building corals in Florida. Monthly surveys were conducted throughout the northern Florida reef tract to monitor the spread and impacts of SCTLD on a larger spatial scale. SCTLD disease prevalence was lower in Palm Beach County than in Broward or Martin County, but there were no significant changes in prevalence over time. To assess colony level impacts of the disease, this study optimized a 3D photogrammetry technique for fate-tracking infected Montastraea cavernosa coral colonies with a low-cost, rapid protocol that measured tissue area over three time points. Total colony area and healthy tissue area decreased significantly over time, while disease area did not significantly vary. Traditional coral surveys combined with the 3D photogrammetry method provide greater insights into the spatial/temporal dynamics and impacts of this disease on individual corals and reef populations than surveys alone.
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Date Issued
2019
PURL
http://purl.flvc.org/fau/fd/FA00013368
Subject Headings
Photogrammetry, Corals--Diseases, Scleractinia, Montastraea, Corals--Florida
Format
Document (PDF)
RURAL-URBAN FRINGE DELINEATION BY INSTRUMENTED INTERPRETATION OF IMAGERY FROM HIGH-ALTITUDE AND ORBITAL REMOTE SENSORS: AN EXPERIMENTAL APPLICATION OF TV SCANNING WAVEFORM ANALYSIS AND COLOR-INFRARED IMAGERY INTERPRETATION FOR EXTRACTING GEOGRAPHIC PATTER
Title
RURAL-URBAN FRINGE DELINEATION BY INSTRUMENTED INTERPRETATION OF IMAGERY FROM HIGH-ALTITUDE AND ORBITAL REMOTE SENSORS: AN EXPERIMENTAL APPLICATION OF TV SCANNING WAVEFORM ANALYSIS AND COLOR-INFRARED IMAGERY INTERPRETATION FOR EXTRACTING GEOGRAPHIC PATTERNS.
Creator
SENYKOFF, RONALD SERGEI., Florida Atlantic University, Latham, James P., Charles E. Schmidt College of Science, Department of Geosciences
Abstract/Description
Delineating the rural-urban fringe around an urban area has importance because much urban growth takes place on rural lands, often agricultural, thus changing land use patterns. Characteristics of geographic phenomena in this fringe area are analyzed and illustrated. This investigation examines.the possibilities for geographically delineating with multi-spectral imagery from ERTS-1 satellite the fringe zone of Delray Beach, a coastal city in southeastern Florida. Experimental methodology...
Show moreDelineating the rural-urban fringe around an urban area has importance because much urban growth takes place on rural lands, often agricultural, thus changing land use patterns. Characteristics of geographic phenomena in this fringe area are analyzed and illustrated. This investigation examines.the possibilities for geographically delineating with multi-spectral imagery from ERTS-1 satellite the fringe zone of Delray Beach, a coastal city in southeastern Florida. Experimental methodology interprets land use categories from high-altitude color-infrared and ERTS-1 imagery. A closed-circuit television system demonstrates possibilities for automatic analysis. Land use data were classified with automation as the principal objective. Some filtering techniques were used for image enhancement. Test results indicate that with sufficient ground data acquisition and statistical computations the fringe zone can be mapped using ERTS imagery as a data base.
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Date Issued
1975
PURL
http://purl.flvc.org/fcla/dt/13695
Subject Headings
Land use--Florida--Remote sensing, Aerial photogrammetry--Florida
Format
Document (PDF)
EVALUATING UNMANNED AIRCRAFT SYSTEM PHOTOGRAMMETRY FOR COASTAL FLORIDA EVERGLADES RESTORATION AND MANAGEMENT
Title
EVALUATING UNMANNED AIRCRAFT SYSTEM PHOTOGRAMMETRY FOR COASTAL FLORIDA EVERGLADES RESTORATION AND MANAGEMENT.
Creator
Durgan, Sara D., Zhang, Caiyun, Florida Atlantic University, Department of Geosciences, Charles E. Schmidt College of Science
Abstract/Description
The Florida Everglades ecosystem is experiencing increasing threats from anthropogenic modification of water flow, spread of invasive species, sea level rise (SLR), and more frequent and/or intense hurricanes. Restoration efforts aimed at rehabilitating these ongoing and future disturbances are currently underway through the implementation of the Comprehensive Everglades Restoration Plan (CERP). Efficacy of these restoration activities can be further improved with accurate and site-specific...
Show moreThe Florida Everglades ecosystem is experiencing increasing threats from anthropogenic modification of water flow, spread of invasive species, sea level rise (SLR), and more frequent and/or intense hurricanes. Restoration efforts aimed at rehabilitating these ongoing and future disturbances are currently underway through the implementation of the Comprehensive Everglades Restoration Plan (CERP). Efficacy of these restoration activities can be further improved with accurate and site-specific information on the current state of the coastal wetland habitats. In order to produce such assessments, digital datasets of the appropriate accuracy and scale are needed. These datasets include orthoimagery to delineate wetland areas and map vegetation cover as well as accurate 3-dimensional (3-D) models to characterize hydrology, physiochemistry, and habitat vulnerability.
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Date Issued
2020
PURL
http://purl.flvc.org/fau/fd/FA00013501
Subject Headings
Everglades (Fla )--Environmental conditions--Remote sensing, Aerial photogrammetry, Wetland restoration--Florida--Everglades, Image analysis, Aerial photogrammetry--Data processing, Drone aircraft
Format
Document (PDF)
Leaf growth rate of the seagrass Halodule Wrightii photographically measured in situ
Title
Leaf growth rate of the seagrass Halodule Wrightii photographically measured in situ.
Creator
Virnstein, Robert W., Harbor Branch Oceanographic Institute
Date Issued
1982
PURL
http://purl.flvc.org/FCLA/DT/3331831
Subject Headings
Seagrasses--Florida--Indian River (Lagoon), Leaves--Growth, Photographic measurements, Photogrammetry
Format
Document (PDF)
Monitor missions: An engineering and archaeological assessment
Title
Monitor missions: An engineering and archaeological assessment.
Creator
Cook, Roger W., Prentice, Jeffrey R., Harbor Branch Oceanographic Institute
Date Issued
1980
PURL
http://purl.flvc.org/FCLA/DT/3338496
Subject Headings
U.S.S. Monitor (Ironclad), Monitor (Ironclad), Photogrammetry, Underwater archaeology
Format
Document (PDF)
COMBINING TRADITIONAL AND IMAGE ANALYSIS TECHNIQUES FOR UNCONSOLIDATED EXPOSED TERRIGENOUS BEACH SAND CHARACTERIZATION
Title
COMBINING TRADITIONAL AND IMAGE ANALYSIS TECHNIQUES FOR UNCONSOLIDATED EXPOSED TERRIGENOUS BEACH SAND CHARACTERIZATION.
Creator
Smith, Molly Elizabeth, Zhang, Caiyun, Oleinik, Anton, Florida Atlantic University, Department of Geosciences, Charles E. Schmidt College of Science
Abstract/Description
Traditional sand analysis is labor and cost-intensive, entailing specialized equipment and operators trained in geological analysis. Even a small step to automate part of the traditional geological methods could substantially improve the speed of such research while removing chances of human error. Digital image analysis techniques and computer vision have been well developed and applied in various fields but rarely explored for sand analysis. This research explores capabilities of remote...
Show moreTraditional sand analysis is labor and cost-intensive, entailing specialized equipment and operators trained in geological analysis. Even a small step to automate part of the traditional geological methods could substantially improve the speed of such research while removing chances of human error. Digital image analysis techniques and computer vision have been well developed and applied in various fields but rarely explored for sand analysis. This research explores capabilities of remote sensing digital image analysis techniques, such as object-based image analysis (OBIA), machine learning, digital image analysis, and photogrammetry to automate or semi-automate the traditional sand analysis procedure. Here presented is a framework combining OBIA and machine learning classification of microscope imagery for use with unconsolidated terrigenous beach sand samples. Five machine learning classifiers (RF, DT, SVM, k-NN, and ANN) are used to model mineral composition from images of ten terrigenous beach sand samples. Digital image analysis and photogrammetric techniques are applied and evaluated for use to characterize sand grain size and grain circularity (given as a digital proxy for traditional grain sphericity). A new segmentation process is also introduced, where pixel-level SLICO superpixel segmentation is followed by spectral difference segmentation and further levels of superpixel segmentation at the object-level. Previous methods of multi-resolution and superpixel segmentation at the object level do not provide the level of detail necessary to yield optimal sand grain-sized segments. In this proposed framework, the DT and RF classifiers provide the best estimations of mineral content of all classifiers tested compared to traditional compositional analysis. Average grain size approximated from photogrammetric procedures is comparable to traditional sieving methods, having an RMSE below 0.05%. The framework proposed here reduces the number of trained personnel needed to perform sand-related research. It requires minimal sand sample preparation and minimizes user-error that is typically introduced during traditional sand analysis.
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Date Issued
2020
PURL
http://purl.flvc.org/fau/fd/FA00013517
Subject Headings
Sand, Image analysis, Remote sensing, Photogrammetry--Digital techniques, Machine learning
Format
Document (PDF)
Classification of mature Australian pines (Casuarina equisetifolia) using LIDAR data in Broward County, Florida
Title
Classification of mature Australian pines (Casuarina equisetifolia) using LIDAR data in Broward County, Florida.
Creator
Zumbado, Jennifer M., Florida Atlantic University, Roberts, Charles
Abstract/Description
The development of high resolution LIDAR DSM combined with digital infrared ortho-photography data enhances the ability to map canopy structures with a higher degree of accuracy and precision than with either data set alone. The purpose of this thesis is to map Australian Pine (Casuarina equisetifolia with a 85% or greater accuracy by creating a methodology that uses LIDAR and color infrared ortho-photography and to test it within three different landscape types within Broward County. LIDAR...
Show moreThe development of high resolution LIDAR DSM combined with digital infrared ortho-photography data enhances the ability to map canopy structures with a higher degree of accuracy and precision than with either data set alone. The purpose of this thesis is to map Australian Pine (Casuarina equisetifolia with a 85% or greater accuracy by creating a methodology that uses LIDAR and color infrared ortho-photography and to test it within three different landscape types within Broward County. LIDAR features below a determined height threshold (i.e. Deerpoint 25 ft) were eliminated and recoded to 0 to create Mask 1. NDVI technique separated non-vegetative features from vegetative features to create Mask 2. Mask 1 and Mask 2 were merged and overlaid on the raw LIDAR data set to perform isodata clustering, as well as density slicing to identify mature Australian Pines. Careful delineation of study areas is critical to obtain the highest possible accuracy. Density slicing proved to be a faster and less time consuming technique for achieving 85% level of accuracy than compared to isodata clustering.
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Date Issued
2003
PURL
http://purl.flvc.org/fcla/dt/13092
Subject Headings
Casuarina--Florida--Broward County, Aerial photography in forestry, Ecology--Remote sensing, Aerial photogrammetry
Format
Document (PDF)
Object Oriented Classification of Australian Pine (Casuarina equisetifolia), an Invasive Exotic Species in South Florida
Title
Object Oriented Classification of Australian Pine (Casuarina equisetifolia), an Invasive Exotic Species in South Florida.
Creator
Johnson, Brian A., Xie, Zhixiao, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Geosciences
Abstract/Description
Invasive exotic plant species cause a number of problems in native south Florida ecosystems, and a great deal of effort is being put into controlling the populations ofthese species. Control efforts require updated information on the locations of exotic species. This information can be obtained from high resolution remotely sensed data such as digital orthoimagery and LIDAR. Extraction of information from these data sources is often problematic using traditional pixel-based image processing...
Show moreInvasive exotic plant species cause a number of problems in native south Florida ecosystems, and a great deal of effort is being put into controlling the populations ofthese species. Control efforts require updated information on the locations of exotic species. This information can be obtained from high resolution remotely sensed data such as digital orthoimagery and LIDAR. Extraction of information from these data sources is often problematic using traditional pixel-based image processing techniques. An object oriented method of image analysis, however, has been shown to be better suited to this task. One invasive exotic species that has become widespread in south Florida is Casuarina equisetifolia, also known as Australian pine. This study develops a semiautomated procedure for detecting Australian pine over a large, diverse area with high resolution remotely sensed data using the object oriented method of analysis.
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Date Issued
2007
PURL
http://purl.flvc.org/fau/fd/FA00000775
Subject Headings
Ecology--Remote sensing, Aerial photogrammetry
Format
Document (PDF)