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Water and Soil Salinity Mapping for Southern Everglades using Remote Sensing Techniques and In Situ Observations
Title
Water and Soil Salinity Mapping for Southern Everglades using Remote Sensing Techniques and In Situ Observations.
Creator
Khadim, Fahad Khan, Su, Hongbo, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description
Everglades National Park is a hydro-ecologically significant wetland experiencing salinity ingress over the years. This motivated our study to map water salinity using a spatially weighted optimization model (SWOM); and soil salinity using land cover classes and EC thresholds. SWOM was calibrated and validated at 3-km grids with actual salinity for 1998–2001, and yielded acceptable R2 (0.89-0.92) and RMSE (1.73-1.92 ppt). Afterwards, seasonal water salinity mapping for 1996–97, 2004–05, and...
Show moreEverglades National Park is a hydro-ecologically significant wetland experiencing salinity ingress over the years. This motivated our study to map water salinity using a spatially weighted optimization model (SWOM); and soil salinity using land cover classes and EC thresholds. SWOM was calibrated and validated at 3-km grids with actual salinity for 1998–2001, and yielded acceptable R2 (0.89-0.92) and RMSE (1.73-1.92 ppt). Afterwards, seasonal water salinity mapping for 1996–97, 2004–05, and 2016 was carried out. For soil salinity mapping, supervised land cover classification was firstly carried out for 1996, 2000, 2006, 2010 and 2015; with the first four providing average accuracies of 82%-94% against existing NLCD classifications. The land cover classes and EC thresholds helped mapping four soil salinity classes namely, the non saline (EC = 0~2 dS/m), low saline (EC = 2~4 dS/m), moderate saline (EC = 4~8 dS/m) and high saline (EC >8 dS/m) areas.
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Date Issued
2017
PURL
http://purl.flvc.org/fau/fd/FA00004860, http://purl.flvc.org/fau/fd/FA00004860
Subject Headings
Everglades National Park (Fla.)--Environmental conditions., Florida Bay (Fla.)--Environmental conditions., Remote sensing., Multispectral imaging., Environmental monitoring--Remote sensing., Geographic information systems., Soils--Remote sensing., Soil moisture--Measurement., Soil mapping.
Format
Document (PDF)
Vegetation time series analysis of the Loxahatchee Slough, Palm Beach County, Florida: A GIS incorporating satellite imagery with black and white aerial photography
Title
Vegetation time series analysis of the Loxahatchee Slough, Palm Beach County, Florida: A GIS incorporating satellite imagery with black and white aerial photography.
Creator
Hohner, Susan Marie., Florida Atlantic University, Roberts, Charles, Charles E. Schmidt College of Science, Department of Geosciences
Abstract/Description
The Loxahatchee Slough is the largest wilderness island refuge existing in Palm Beach County, Florida. Cultural impacts have altered the hydrology of the area. This study provides a database of historical and geographical information regarding the Slough. Aerial photography and satellite imagery from pre- and post-channelization dates are classified according to vegetation ecosystems. GIS analysis is used to compare these diverse data sets. Changes in hydroperiod are examined, using...
Show moreThe Loxahatchee Slough is the largest wilderness island refuge existing in Palm Beach County, Florida. Cultural impacts have altered the hydrology of the area. This study provides a database of historical and geographical information regarding the Slough. Aerial photography and satellite imagery from pre- and post-channelization dates are classified according to vegetation ecosystems. GIS analysis is used to compare these diverse data sets. Changes in hydroperiod are examined, using vegetation as an indicator. Results show a general trend toward dryer hydroperiod vegetation land cover. Since 1979, the Army Corps of Engineers has raised water levels back toward pre-channelization levels, in a portion of the study area known as the Historic Region. Results indicate a positive response, with a net increase of longer hydroperiod vegetation in this region since 1979.
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Date Issued
1994
PURL
http://purl.flvc.org/fcla/dt/15079
Subject Headings
Vegetation mapping--Florida--Palm Beach County, Plant communities--Remote sensing, Geographic information systems--Remote sensing, Aerial photography in geography--Florida--Palm Beach County, Swamp ecology--Florida--Palm Beach County
Format
Document (PDF)
Mapping wetland vegetation with LIDAR in Everglades National Park, Florida, USA
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
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.
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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)
Spatial and Temporal Mapping of the Evolution of the Miami-Fort Lauderdale-West Palm Beach Metropolitan Statistical Area (MSA)
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.
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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)

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