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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)
Utilizing Hyperspectral Reflectance to Analyze Sand Composition
Title
Utilizing Hyperspectral Reflectance to Analyze Sand Composition.
Creator
Smith, Molly E., Selch, Donna, Graduate College
Abstract/Description
Spectral signatures quickly aid the analysis of sand composition because specific wavelengths correspond with distinct minerals. This provides objectivity to traditional microscopic methods, with the option to create a custom spectral library for Hyperspectral Remote Sensing HRS applications. Removal of salt as a precipitated solid from sea water is useful for clearer microscopic viewing of sand because certain grains are less likely to be misidentified as crystalized salt. Though removal of...
Show moreSpectral signatures quickly aid the analysis of sand composition because specific wavelengths correspond with distinct minerals. This provides objectivity to traditional microscopic methods, with the option to create a custom spectral library for Hyperspectral Remote Sensing HRS applications. Removal of salt as a precipitated solid from sea water is useful for clearer microscopic viewing of sand because certain grains are less likely to be misidentified as crystalized salt. Though removal of salts aids in qualitative visual identification, it is problematic for studies requiring spectral reflectance data to match real-life conditions. Spectroradiometric techniques were used to assess the effects of salt in spectral signatures of sand. Sand samples of mixed siliciclastic-carbonate composition were collected from 15 locations across the southeastern Florida coast. Spectral plots were generated from laboratory collected data with an ASD Spectroradiometer. Spectral data was collected before and after samples were prepared for microscopic study. Laboratory-prepared samples show negative slope at approximately 1500 nm and 2000 nm ranges on the generated plots. These wavelengths are indicative of grains having either predominately carbonate or siliciclastic compositions, which agrees with the microscopic analysis. Salts present in a sample affect the spectral signature, thus salt removal yields spectral plots not necessarily concurrent with plots generated from raw, unprepared samples. For studies utilizing airborne HRS data, the order of data collection and preparation is important. To ensure a more precise match between the spectral library and the hyperspectral imagery, spectral data must be collected before the sample is prepared for microscopic analysis.
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Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00005913
Format
Document (PDF)
Coastal Sediment Reflectance Analysis using Hyperspectral Remote Sensing
Title
Coastal Sediment Reflectance Analysis using Hyperspectral Remote Sensing.
Creator
Selch, Donna, Zhang, Caiyun, Graduate College, Oleinik, Anton E.
Abstract/Description
Quantitative assessment of substrate classification for sand properties is needed for land management and conservation. Establishing a sand spectral library is the first step in this process. Hyperspectal analysis allows for rapid, nondestructive data acquisition. This process uses an ASD spectrometer in a laboratory setting with an artificial light source to collect the spectra. Sand collected worldwide was also analyzed for grain size and composition. Development of spectral libraries of...
Show moreQuantitative assessment of substrate classification for sand properties is needed for land management and conservation. Establishing a sand spectral library is the first step in this process. Hyperspectal analysis allows for rapid, nondestructive data acquisition. This process uses an ASD spectrometer in a laboratory setting with an artificial light source to collect the spectra. Sand collected worldwide was also analyzed for grain size and composition. Development of spectral libraries of sand is an essential factor to facilitate analytical techniques to monitor coastal problems including erosion and beach nourishment. This in turn can affect various flora and fauna which requires specific substrate to grow, nest, or live. Preliminary results show that each sand sample has a unique signature that can be identified using hyperspectral data.
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Date Issued
2014
PURL
http://purl.flvc.org/fau/fd/FA00005166
Format
Document (PDF)
Florida’s Deep-water Oculina Reefs: A National Treasure in Peril
Title
Florida’s Deep-water Oculina Reefs: A National Treasure in Peril.
Creator
Selch, Donna, Reed, John, Cousin, Brian
Abstract/Description
Documentary of the discovery, research and and efforts to protect the deep-water Oculina coral reefs off Florida. These Oculina reefs occur exclusively off eastern Florida at depths of 300 ft, and nowhere else on earth. First discovered by Harbor Branch Oceanographic Institution scientists with the Johnson-Sea-Link submersibles in 1975, they were made the first deep-water coral marine protected area in the world in 1984. Conservation efforts continue today to prevent destructive bottom trawl...
Show moreDocumentary of the discovery, research and and efforts to protect the deep-water Oculina coral reefs off Florida. These Oculina reefs occur exclusively off eastern Florida at depths of 300 ft, and nowhere else on earth. First discovered by Harbor Branch Oceanographic Institution scientists with the Johnson-Sea-Link submersibles in 1975, they were made the first deep-water coral marine protected area in the world in 1984. Conservation efforts continue today to prevent destructive bottom trawl fisheries from fishing within the Oculina Habitat Area of Particular Concern. Funding by the LINK foundation. Dedicated to Dr. Robert Avent & Edwin Link
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PURL
http://purl.flvc.org/fau/fd/FAUIR000388
Subject Headings
Coral reef conservation--Florida, Coral reef ecology--Research--Florida., Oceanography--Florida.
Format
Video file
Analyzing Changes in Salinity and Evaporation on Water Quality
Title
Analyzing Changes in Salinity and Evaporation on Water Quality.
Creator
Causey, Annie, Lemos, Renata, Goordeen, Avion, Selch, Donna, Abbott, Cara J., Charles E. Schmidt College of Science
Abstract/Description
The evaporation of water in the ocean can lead to hyper salinity caused by the extra substances left behind during the process. The Florida bay is surrounded by the Florida loop current and the Florida Keys, its salinity reading has been recorded as high as 70 ppt, double the normal capacity of seawater. The bay salinity depends on the amount of fresh water released from the Everglades and the magnitude of water outputted to the Gulf of Mexico and the Atlantic Ocean, as well as the ratio...
Show moreThe evaporation of water in the ocean can lead to hyper salinity caused by the extra substances left behind during the process. The Florida bay is surrounded by the Florida loop current and the Florida Keys, its salinity reading has been recorded as high as 70 ppt, double the normal capacity of seawater. The bay salinity depends on the amount of fresh water released from the Everglades and the magnitude of water outputted to the Gulf of Mexico and the Atlantic Ocean, as well as the ratio between the amount of water evaporated and the amount of precipitates left in the remaining water pool. For this research nine saltwater treatments from 0 to 40 ppt in increments of 5 ppt were constructed to examine how evaporation rates are affected by varying salinities. During this study, data were collected from each of the nine treatments before and after evaporation. The data recorded included salinity readings, pH levels and volume of water evaporated. The analyses of this data will determine the relationship between salinity levels and evaporation rates.
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Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00005180
Subject Headings
College students --Research --United States.
Format
Document (PDF)
Mapping Habitats of Lionfish in Fort Lauderdale
Title
Mapping Habitats of Lionfish in Fort Lauderdale.
Creator
Hermit, Kathryn, Selch, Donna, Zhang, Caiyun, Charles E. Schmidt College of Science
Abstract/Description
The canal system of South Florida has become a new distributive focus for the invasive Lionfish (Pterois volitans). Lionfish are considered a pest here, having up to 18 venomous spines that can inflict pain if stepped on or handled. These fish also eat a variety of juvenile species affecting the commercial and recreational fishing industry. The canal system in south Florida is also a center for recreational activities. Water land cover information will aid in species removal by offering...
Show moreThe canal system of South Florida has become a new distributive focus for the invasive Lionfish (Pterois volitans). Lionfish are considered a pest here, having up to 18 venomous spines that can inflict pain if stepped on or handled. These fish also eat a variety of juvenile species affecting the commercial and recreational fishing industry. The canal system in south Florida is also a center for recreational activities. Water land cover information will aid in species removal by offering species information to areas with a high percent of water land cover and who are more likely to come into contact with Lionfish. This research, comparing classification techniques to map water land cover, is the first step to mitigate the stronghold the lionfish have in South Florida. Once mapped, species information can then be distributed to residents that have close proximity to danger zones.
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Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00005196
Subject Headings
College students --Research --United States.
Format
Document (PDF)
Comparing salinity models in Whitewater Bay using remote sensing
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.
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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)
Salinity Assessment, Change, and Impact on Plant Stress / Canopy Water Content (CWC) in Florida Bay using Remote Sensing and GIS
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
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.
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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)