Current Search: Casuarina--Florida (x)
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Title
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Classification of mature Australian pines (Casuarina equisetifolia) using LIDAR data in Broward County, Florida.
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Creator
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Zumbado, Jennifer M., Florida Atlantic University, Roberts, Charles
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Abstract/Description
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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
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2003
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PURL
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http://purl.flvc.org/fcla/dt/13092
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Subject Headings
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Casuarina--Florida--Broward County, Aerial photography in forestry, Ecology--Remote sensing, Aerial photogrammetry
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Format
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Document (PDF)
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Title
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Object Oriented Classification of Australian Pine (Casuarina equisetifolia), an Invasive Exotic Species in South Florida.
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Creator
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Johnson, Brian A., Xie, Zhixiao, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Geosciences
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Abstract/Description
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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
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2007
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PURL
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http://purl.flvc.org/fau/fd/FA00000775
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Subject Headings
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Ecology--Remote sensing, Aerial photogrammetry
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Format
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Document (PDF)
