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(1 - 4 of 4)
- 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.
Show less - Date Issued
- 1975
- PURL
- http://purl.flvc.org/fcla/dt/13695
- Subject Headings
- Land use--Florida--Remote sensing, Aerial photogrammetry--Florida
- Format
- Document (PDF)
- 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.
Show less - 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)
- 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.
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
- 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.
Show less - Date Issued
- 2007
- PURL
- http://purl.flvc.org/fau/fd/FA00000775
- Subject Headings
- Ecology--Remote sensing, Aerial photogrammetry
- Format
- Document (PDF)
