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Object Oriented Classification of Australian Pine (Casuarina equisetifolia), an Invasive Exotic Species in South Florida
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.
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Date Issued
2007
PURL
http://purl.flvc.org/fau/fd/FA00000775
Subject Headings
Ecology--Remote sensing, Aerial photogrammetry
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)