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Pages
- Title
- Analysis of coastal morphodynamic zones based on detailed mapping in Palm Beach County, Florida.
- Creator
- Warner, Matthew Thomas, Florida Atlantic University, Finkl, Charles W.
- Abstract/Description
-
Dynamic geomorphic environments such as the inner continental shelf challenge understanding and compromise predictive abilities because most efforts fail to establish seafloor topologies. A new approach, which takes stock of existing conditions and monitors changes in coastal morphologic features, is needed. Procedures employed in this study feature a morphodynamic context that considers interdependence between hydrodynamic processes, seafloor morphologies, and sequences of change. This study...
Show moreDynamic geomorphic environments such as the inner continental shelf challenge understanding and compromise predictive abilities because most efforts fail to establish seafloor topologies. A new approach, which takes stock of existing conditions and monitors changes in coastal morphologic features, is needed. Procedures employed in this study feature a morphodynamic context that considers interdependence between hydrodynamic processes, seafloor morphologies, and sequences of change. This study delineates morphodynamic zones by interpreting coastal morphologic features mapped from large-scale aerial photographs. Resulting maps display morphologic features and morphodynamic zones for the inner continental shelf of central Palm Beach County, Florida. The technique improves on existing methods by providing quantitative data on submarine morphology that can be monitored over time to analyze changes in form and association. Increased understanding of inner continental shelf morphologic features, and their variation through time, provides insight into the sequences of change, which may include recognition of erosion hot spots.
Show less - Date Issued
- 1999
- PURL
- http://purl.flvc.org/fcla/dt/15637
- Subject Headings
- Coast changes--Florida--Palm Beach County, Remote sensing--Florida--Palm Beach County, Palm Beach County (Fla )--Aerial photographs
- Format
- Document (PDF)
- Title
- Data Fusion of LiDAR and Aerial Imagery to Map the Campus of Florida Atlantic University.
- Creator
- Gamboa, Nicole, Zhang, Caiyun, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Geosciences
- Abstract/Description
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Reliable geographic intelligence is essential for urban areas; land-cover classification creates the data for urban spatial decision making. This research tested a methodology to create a land-cover map for the main campus of Florida Atlantic University in Boca Raton, Florida. The accuracy of nine separate land-cover classification results were tested; the one with the highest accuracy was chosen for the final map. Object-based image segmentation was applied to fused and LiDAR point cloud ...
Show moreReliable geographic intelligence is essential for urban areas; land-cover classification creates the data for urban spatial decision making. This research tested a methodology to create a land-cover map for the main campus of Florida Atlantic University in Boca Raton, Florida. The accuracy of nine separate land-cover classification results were tested; the one with the highest accuracy was chosen for the final map. Object-based image segmentation was applied to fused and LiDAR point cloud (elevation and intensity) data and aerial imagery. These were classified by Random Forest, k-Nearest Neighbor and Support Vector Machines classifiers. Shadow features were reclassified hierarchically in order to create a complete map. The Random Forest classifier used with the fused data set gave the highest overall accuracy at 82.3%, and a Kappa value at 0.77. When combined with the results from the shadow reclassification, the overall accuracy increased to 86.3% and the Kappa value improved to 0.82.
Show less - Date Issued
- 2016
- PURL
- http://purl.flvc.org/fau/fd/FA00004595, http://purl.flvc.org/fau/fd/FA00004595
- Subject Headings
- Spatial analysis (Statistics), Geographic information systems., Cartography--Remote sensing., Thematic maps., Geospatial data--Mathematical models., Criminal justice, Administration of., African Americans, Violence against.
- Format
- Document (PDF)
- Title
- Comparing salinity models in Whitewater Bay using remote sensing.
- Creator
- Selch, Donna, Charles E. Schmidt College of Science, Department of Geosciences
- Abstract/Description
-
This study compared models that used remote sensing to assess salinity in Whitewater Bay. The quantitative techniques in this research allow for a less costly and quicker assessment of salinity values. Field observations and Landsat 5 TM imagery from 2003-2006 were separated into wet and dry seasons and temporally matched. Interpolation models of Inverse Distance Weighting and Kriging were compared to empirical regression models (Ordinary Least Squares and Geographically Weighted Regression -...
Show moreThis study compared models that used remote sensing to assess salinity in Whitewater Bay. The quantitative techniques in this research allow for a less costly and quicker assessment of salinity values. Field observations and Landsat 5 TM imagery from 2003-2006 were separated into wet and dry seasons and temporally matched. Interpolation models of Inverse Distance Weighting and Kriging were compared to empirical regression models (Ordinary Least Squares and Geographically Weighted Regression - GWR) via their Root Mean Square Error. The results showed that salinity analysis is more accurate in the dry season compared with the wet season. Univariate and multivariate analysis of the Landsat bands revealed the best band combination for salinity analysis in this local area. GWR is the most conducive model for estimating salinity because field observations are not required for future predictions once the local formula is established with available satellite imagery.
Show less - Date Issued
- 2012
- PURL
- http://purl.flvc.org/FAU/3356015
- Subject Headings
- Water quality, Measurement, Marine ecology, Remote sensing, Electromagnetic interactions, Water-supply
- Format
- Document (PDF)
- 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
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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.
Show less - 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)
- Title
- Interpretation of seafloor topologies based on IKONOS satellite imagery of a shallow-marine carbonate platform: Florida Bay to the Florida Reef Tract.
- Creator
- Steinle, Jacob Thomas., Charles E. Schmidt College of Science, Department of Geosciences
- Abstract/Description
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A benthic environments classification system is devised from digital interpretations of multi-spectral IKONOS satellite imagery for 1,360 km2 of the carbonate platform and presented in a comprehensive digitized map. The classification scheme is designed as a 7th order hierarchical structure that integrates 5 Physiographic Realms, 24 Morphodynamic Zones, 11 Geoforms, 39 Landforms, 6 dominant surface sediment types, 9 dominant biological covers and 3 densities of biological covers for the...
Show moreA benthic environments classification system is devised from digital interpretations of multi-spectral IKONOS satellite imagery for 1,360 km2 of the carbonate platform and presented in a comprehensive digitized map. The classification scheme is designed as a 7th order hierarchical structure that integrates 5 Physiographic Realms, 24 Morphodynamic Zones, 11 Geoforms, 39 Landforms, 6 dominant surface sediment types, 9 dominant biological covers and 3 densities of biological covers for the description of benthic environments. Digital analysis of the high-resolution (4 m) IKONOS imagery employed ESRI's ArcMap to manually digitize 412 mapping units at a scale of 1:6,000 differentiated by spectral reflectance, color tones, and textures of seafloor topologies. The context of each morphodynamic zone is characterized by the content and areal distribution (in km2) of geomorphic forms and biological covers. Over 58% of the mapping area is occupied by sediment flats, and seagrasses are colonized in almost 80% of the topologies.
Show less - Date Issued
- 2011
- PURL
- http://purl.flvc.org/FAU/3174075
- Subject Headings
- Submarine topography, Marine sediments, Remote sensing, Marine ecosystem management, Ocean bottom, Sampling, Ocean bottom, Sampling, Coral reef ecology
- Format
- Document (PDF)
- Title
- Salinity Assessment, Change, and Impact on Plant Stress / Canopy Water Content (CWC) in Florida Bay using Remote Sensing and GIS.
- Creator
- Selch, Donna, Zhang, Caiyun, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Geosciences
- Abstract/Description
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Human activities in the past century have caused a variety of environmental problems in South Florida. In 2000, Congress authorized the Comprehensive Everglades Restoration Plan (CERP), a $10.5-billion mission to restore the South Florida ecosystem. Environmental projects in CERP require salinity monitoring in Florida Bay to provide measures of the effects of restoration on the Everglades ecosystem. However current salinity monitoring cannot cover large areas and is costly, time-consuming,...
Show moreHuman activities in the past century have caused a variety of environmental problems in South Florida. In 2000, Congress authorized the Comprehensive Everglades Restoration Plan (CERP), a $10.5-billion mission to restore the South Florida ecosystem. Environmental projects in CERP require salinity monitoring in Florida Bay to provide measures of the effects of restoration on the Everglades ecosystem. However current salinity monitoring cannot cover large areas and is costly, time-consuming, and laborintensive. The purpose of this dissertation is to model salinity, detect salinity changes, and evaluate the impact of salinity in Florida Bay using remote sensing and geospatial information sciences (GIS) techniques. The specific objectives are to: 1) examine the capability of Landsat multispectral imagery for salinity modeling and monitoring; 2) detect salinity changes by building a series of salinity maps using archived Landsat images; and 3) assess the capability of spectroscopy techniques in characterizing plant stress / canopy water content (CWC) with varying salinity, sea level rise (SLR), and nutrient levels. Geographic weighted regression (GWR) models created using the first three imagery components with atmospheric and sun glint corrections proved to be more correlated (R^2 = 0.458) to salinity data versus ordinary least squares (OLS) regression models (R^2 = 0.158) and therefore GWR was the ideal regression model for continued Florida Bay salinity assessment. J. roemerianus was also examined to assess the coastal Everglades where salinity modeling is important to the water-land interface. Multivariate greenhouse studies determined the impact of nutrients to be inconsequential but increases in salinity and sea level rise both negatively affected J. roemerianus. Field spectroscopic data was then used to ascertain correlations between CWC and reflectance spectra using spectral indices and derivative analysis. It was determined that established spectral indices (max R^2 = 0.195) and continuum removal (max R^2= 0.331) were not significantly correlated to CWC but derivative analysis showed a higher correlation (R^2 = 0.515 using the first derivative at 948.5 nm). These models can be input into future imagery to predict the salinity of the South Florida water ecosystem.
Show less - Date Issued
- 2016
- PURL
- http://purl.flvc.org/fau/fd/FA00004686, http://purl.flvc.org/fau/fd/FA00004686
- Subject Headings
- Environmental management, Florida Bay (Fla.), Geographic information systems, Geospatial data, Marine ecology, Plant water relationships, Remote sensing, Salinity -- Florida -- Florida Bay -- Measurement
- Format
- Document (PDF)
- Title
- SEDIMENT CORE AND REMOTE SENSING ANALYSIS OF MODERN ENVIRONMENTAL CHANGE WITHIN A CYPRESS SWAMP FOREST, COLLIER COUNTY, FL.
- Creator
- Swick, Kathryn, Johanson, Erik, Florida Atlantic University, Department of Geosciences, Charles E. Schmidt College of Science
- Abstract/Description
-
The Florida Everglades is a vast subtropical wetland that historically spanned over 1,000,000 hectares, but much of the Everglades has changed in the last 100 years due to anthropogenic activity. Collier County was subject to alteration in the form of logging, road building, and canal digging. These actions disrupted the natural sheet flow of water and had large environmental impacts on the region, impacts which are slowly being addressed by Everglades restoration efforts. The aim of this...
Show moreThe Florida Everglades is a vast subtropical wetland that historically spanned over 1,000,000 hectares, but much of the Everglades has changed in the last 100 years due to anthropogenic activity. Collier County was subject to alteration in the form of logging, road building, and canal digging. These actions disrupted the natural sheet flow of water and had large environmental impacts on the region, impacts which are slowly being addressed by Everglades restoration efforts. The aim of this project was to observe the effects of environmental change at a cypress swamp forest in Collier County within the Big Cypress National Preserve. Using sediment core data including charcoal analysis, loss on ignition, and peat humification, as well as remote sensing techniques, this project uses a novel approach to assess local environmental conditions in the modern era. Historical records and contemporary data are used to evaluate change over time, and satellite imagery is used to quantify vegetative health. Modification of the environment related to anthropogenic activity is noted, and evidence of progress from restoration efforts is observed from the last two decades in our study’s data.
Show less - Date Issued
- 2023
- PURL
- http://purl.flvc.org/fau/fd/FA00014160
- Subject Headings
- Nature--Effect of human beings on, Anthropogenic effects on nature, Wetland ecology--Florida--Big Cypress National Preserve, Ecology--Remote sensing
- Format
- Document (PDF)
- Title
- Mapping wetland vegetation with LIDAR in Everglades National Park, Florida, USA.
- Creator
- De Stoppelaire, Georgia H., Xie, Zhixiao, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Geosciences
- Abstract/Description
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Knowledge of the geospatial distribution of vegetation is fundamental for resource management. The objective of this study is to investigate the possible use of airborne LIDAR (light detection and ranging) data to improve classification accuracy of high spatial resolution optical imagery and compare the ability of two classification algorithms to accurately identify and map wetland vegetation communities. In this study, high resolution imagery integrated with LIDAR data was compared jointly...
Show moreKnowledge of the geospatial distribution of vegetation is fundamental for resource management. The objective of this study is to investigate the possible use of airborne LIDAR (light detection and ranging) data to improve classification accuracy of high spatial resolution optical imagery and compare the ability of two classification algorithms to accurately identify and map wetland vegetation communities. In this study, high resolution imagery integrated with LIDAR data was compared jointly and alone; and the nearest neighbor (NN) and machine learning random forest (RF) classifiers were assessed in semi-automated geographic object-based image analysis (GEOBIA) approaches for classification accuracy of heterogeneous vegetation assemblages at Everglades National Park, FL, USA.
Show less - Date Issued
- 2014
- PURL
- http://purl.flvc.org/fau/fd/FA00004276
- Subject Headings
- Everglades National Park (Fla.)--Environmental conditions., Geographic information systems--Florida--Everglades Region., Ecosystem management--Florida--Everglades Region., Vegetation monitoring--Florida--Everglades National Park., Wetland management--Florida--Everglades National Park., Coastal zone management--Remote sensing--Florida--Everglades National Park., Environmental mapping--Florida--Everglades National Park., Environmental monitoring--Remote sensing--Florida--Everglades National Park.
- Format
- Document (PDF)
- Title
- Spatial and Temporal Mapping of the Evolution of the Miami-Fort Lauderdale-West Palm Beach Metropolitan Statistical Area (MSA).
- Creator
- Rochelo, Mark, Roberts, Charles, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Geosciences
- Abstract/Description
-
Urbanization is a fundamental reality in the developed and developing countries around the world creating large concentrations of the population centering on cities and urban centers. Cities can offer many opportunities for those residing there, including infrastructure, health services, rescue services and more. The living space density of cities allows for the opportunity of more effective and environmentally friendly housing, transportation and resources. Cities play a vital role in...
Show moreUrbanization is a fundamental reality in the developed and developing countries around the world creating large concentrations of the population centering on cities and urban centers. Cities can offer many opportunities for those residing there, including infrastructure, health services, rescue services and more. The living space density of cities allows for the opportunity of more effective and environmentally friendly housing, transportation and resources. Cities play a vital role in generating economic production as entities by themselves and as a part of larger urban complex. The benefits can provide for extraordinary amount of people, but only if proper planning and consideration is undertaken. Global urbanization is a progressive evolution, unique in spatial location while consistent to an overall growth pattern and trend. Remotely sensing these patterns from the last forty years of space borne satellites to understand how urbanization has developed is important to understanding past growth as well as planning for the future. Imagery from the Landsat sensor program provides the temporal component, it was the first satellite launched in 1972, providing appropriate spatial resolution needed to cover a large metropolitan statistical area to monitor urban growth and change on a large scale. This research maps the urban spatial and population growth over the Miami – Fort Lauderdale – West Palm Beach Metropolitan Statistical Area (MSA) covering Miami- Dade, Broward, and Palm Beach counties in Southeast Florida from 1974 to 2010 using Landsat imagery. Supervised Maximum Likelihood classification was performed with a combination of spectral and textural training fields employed in ERDAS Image 2014 to classify the images into urban and non-urban areas. Dasymetric mapping of the classification results were combined with census tract data then created a coherent depiction of the Miami – Fort Lauderdale – West Palm Beach MSA. Static maps and animated files were created from the final datasets for enhanced visualizations and understanding of the MSA evolution from 60-meter resolution remotely sensed Landsat images. The simplified methodology will create a database for urban planning and population growth as well as future work in this area.
Show less - Date Issued
- 2017
- PURL
- http://purl.flvc.org/fau/fd/FA00004904, http://purl.flvc.org/fau/fd/FA00004904
- Subject Headings
- Geographic information systems., Sustainable urban development--Florida--Miami--Planning., Sustainable urban development--Florida--Fort Lauderdale--Planning., Sustainable urban development--Florida--West Palm Beach--Planning., Urbanization--Florida--Miami-Dade County., Urbanization--Florida--Broward County., Urbanization--Florida--Palm Beach County., Remote sensing., Spatial analysis (Statistics)
- Format
- Document (PDF)
