Utilization of Airborne Hyperspectral Imagery to Identify and Map Phragmites Australis Subsp. Australis Within Îles-de-Boucherville National Park

Utilization of Airborne Hyperspectral Imagery to Identify and Map Phragmites Australis Subsp. Australis Within Îles-de-Boucherville National Park PDF Author: Kathryn Elmer
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Languages : en
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Book Description
"Other than habitat loss, invasive species currently pose one of the greatest threats to global biodiversity. Therefore, the early detection and identification of species of concern is essential for the creation of prevention and management strategies. By utilizing hyperspectral imagery (HSI) from an airborne platform, a methodology was established to identify and map the prolific invasive reed Phragmites australis subsp. australis throughout Îles-de-Boucherville National Park (Montreal, Quebec), which is one of the five study sites for the Canadian Airborne Biodiversity Observatory (CABO). Within the context of CABO, no research has previously been conducted to map Phragmites across such a large scale within this study site. Using a Twin Otter aircraft as the sensor platform, five flight lines of hyperspectral imagery were acquired at a spatial resolution of 2 m over the entire extent of the park in July 2019. Additionally, a high-accuracy Global Navigation Satellite System (GNSS) ground truth dataset containing positional data of Phragmites and other vegetation within the park was collected. This dataset consists of 319 ground truth points to serve as training and validation data for the HSI and target detection results. Using the Spectral Angle Mapper (SAM) target detection algorithm, a map of detected Phragmites was generated for the entire park area. A total of 2,037 individual Phragmites stands of various sizes were detected, covering an area of 26.74 hectares (0.267 km2), which represents approximately 3.28% of the total park area (814 hectares, 8.14 km2). When accounting for areas of uncertainty due to the inherent spatial error of the HSI, the total area of detected Phragmites was found to be 59.17 hectares (0.591 km2), or approximately 7.26% of the entire park area. The overall accuracy of the map was 84.28%, with a sensitivity of 76.32% and a specificity of 91.57%. In order to compare the accuracy of the SAM target detection method to traditional methods of human visual interpretation, 10 interpreters assessed the same set of 159 validation ground truth points used to determine the accuracy of the Phragmites map. Interpreters viewed high-resolution (60 cm spatial accuracy) satellite images of each validation point, and selected the images that contained Phragmites within a 15-meter buffer around the point. The overall accuracy of the visual interpretation was 69.18%, with a sensitivity of 59.21% and a specificity of 78.31%. These results indicate that human interpretation of the validation points does not yield as accurate results as the algorithm-based target detection methodology, which could have serious implications when planning and collecting data for similar studies regarding invasive species identification and management. The results provided by the HSI target detection methodology could well be worth the investment needed to procure and analyze the data, especially when compared to human interpretation of more readily available data. Overall, the map of detected Phragmites represents one of the first efforts to utilize airborne HSI and algorithm-based target detection methods to detect and map Phragmites over a moderately large scale within Îles-de-Boucherville National Park. The Phragmites map will provide a useful tool for the park's land managers, as the identification of various sizes of Phragmites is critical for management and eradication of the invasive reed. By establishing the uses and limitations of airborne HSI for the detection of Phragmites, this study seeks to define a methodology that could be adapted in future remote sensing studies of various other invasive vegetation species across a wide range of ecosystems"--

Utilization of Airborne Hyperspectral Imagery to Identify and Map Phragmites Australis Subsp. Australis Within Îles-de-Boucherville National Park

Utilization of Airborne Hyperspectral Imagery to Identify and Map Phragmites Australis Subsp. Australis Within Îles-de-Boucherville National Park PDF Author: Kathryn Elmer
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
"Other than habitat loss, invasive species currently pose one of the greatest threats to global biodiversity. Therefore, the early detection and identification of species of concern is essential for the creation of prevention and management strategies. By utilizing hyperspectral imagery (HSI) from an airborne platform, a methodology was established to identify and map the prolific invasive reed Phragmites australis subsp. australis throughout Îles-de-Boucherville National Park (Montreal, Quebec), which is one of the five study sites for the Canadian Airborne Biodiversity Observatory (CABO). Within the context of CABO, no research has previously been conducted to map Phragmites across such a large scale within this study site. Using a Twin Otter aircraft as the sensor platform, five flight lines of hyperspectral imagery were acquired at a spatial resolution of 2 m over the entire extent of the park in July 2019. Additionally, a high-accuracy Global Navigation Satellite System (GNSS) ground truth dataset containing positional data of Phragmites and other vegetation within the park was collected. This dataset consists of 319 ground truth points to serve as training and validation data for the HSI and target detection results. Using the Spectral Angle Mapper (SAM) target detection algorithm, a map of detected Phragmites was generated for the entire park area. A total of 2,037 individual Phragmites stands of various sizes were detected, covering an area of 26.74 hectares (0.267 km2), which represents approximately 3.28% of the total park area (814 hectares, 8.14 km2). When accounting for areas of uncertainty due to the inherent spatial error of the HSI, the total area of detected Phragmites was found to be 59.17 hectares (0.591 km2), or approximately 7.26% of the entire park area. The overall accuracy of the map was 84.28%, with a sensitivity of 76.32% and a specificity of 91.57%. In order to compare the accuracy of the SAM target detection method to traditional methods of human visual interpretation, 10 interpreters assessed the same set of 159 validation ground truth points used to determine the accuracy of the Phragmites map. Interpreters viewed high-resolution (60 cm spatial accuracy) satellite images of each validation point, and selected the images that contained Phragmites within a 15-meter buffer around the point. The overall accuracy of the visual interpretation was 69.18%, with a sensitivity of 59.21% and a specificity of 78.31%. These results indicate that human interpretation of the validation points does not yield as accurate results as the algorithm-based target detection methodology, which could have serious implications when planning and collecting data for similar studies regarding invasive species identification and management. The results provided by the HSI target detection methodology could well be worth the investment needed to procure and analyze the data, especially when compared to human interpretation of more readily available data. Overall, the map of detected Phragmites represents one of the first efforts to utilize airborne HSI and algorithm-based target detection methods to detect and map Phragmites over a moderately large scale within Îles-de-Boucherville National Park. The Phragmites map will provide a useful tool for the park's land managers, as the identification of various sizes of Phragmites is critical for management and eradication of the invasive reed. By establishing the uses and limitations of airborne HSI for the detection of Phragmites, this study seeks to define a methodology that could be adapted in future remote sensing studies of various other invasive vegetation species across a wide range of ecosystems"--

Detection and Mapping of Phragmites Australis Using High Resolution Multispectral and Hyperspectral Satellite Imagery

Detection and Mapping of Phragmites Australis Using High Resolution Multispectral and Hyperspectral Satellite Imagery PDF Author: Nicholas John Lantz
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ISBN:
Category :
Languages : en
Pages : 246

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Book Description
Mapping invasive plant species is important to establish an invasion baseline, monitor plant propagation, and to implement an effective plan to deal with the invasion. In this thesis, methods are proposed to map invasive Phragmites australis in a Great Lakes coastal wetland. Chapter 2 presents an object - based Phragmites extraction method using Worldview - 2 high - spatial - resolution satellite imagery. For the 4024 ha study area at Walpole Island, Ontario, 94% overall accuracy was achieved. Chapter 3 uses CHRIS PROBA hyperspectral satellite imagery for mapping the pixel abundance of Phragmites using a spectral mixture analysis method. An evaluation method was developed to assess the accuracy of the spectral mixture analysis fractions using the classification from Chapter 2. A Ph ragmites invasion classification identifying pixels where Phragmites was non - dominant, potentially dominant, and dominant was 85.2% accurate. The overall accuracy for a Phragmites, native vegetation and water classification based on the dominant fraction in each pixel was 82.8%.

EXOTIC VEGETATION ASSESMENT (EVA)

EXOTIC VEGETATION ASSESMENT (EVA) PDF Author: Hope Brooks
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Category :
Languages : en
Pages :

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Book Description
Invasions of non-native Common Reed, Phragmites australis, alter native wetland communities. To reduce the extent of Phragmites invasions, suppression tactics, like herbicide applications, mowing, and burning, are often employed. Monitoring the efficacy of Phragmites suppression is a challenging and critical component of Phragmites management. Unmanned aircraft systems have successfully been used to map wetland vegetation. This project presents a protocol for collecting aerial imagery using the DJI Phantom 2 Vision+, a commercial remote controlled quad rotor helicopter, and a protocol for classifying land cover classes from aerial imagery. Classified aerial images identified land cover classes with an overall accuracy of 73.62%. Individual Phragmites plants could be discerned in the high resolution classified aerial images. Potential applications for imagery collected using unmanned aircraft systems include monitoring the efficacy of Phragmites suppression programs, tracking changes in Phragmites invasions over time, and detecting new Phragmites patches.

Spectral Discrimination of Phragmites Australis at Different Phenological Stages in Saginaw Bay, Michigan

Spectral Discrimination of Phragmites Australis at Different Phenological Stages in Saginaw Bay, Michigan PDF Author: Trenton Benedict
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ISBN:
Category : Phragmites australis
Languages : en
Pages : 75

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Book Description
Michigan Great Lakes wetlands are among Michigan's most significant bio-diversified ecosystems. One threat to this ecosystem is invasive species. Phragmites australis is one of these invasive species creating problems in the wetlands. Identifying Phragmites through satellite imagery creates difficulties in discriminating Phragmites from other vegetation accurately. This study used an ASD HandHeld 2 field spectroradiometer to identify the phenological spectral properties between Phragmites and cattails. The Euclidean distance was analyzed the spectral curves from the spectroradiometer to determine the separability between Phragmites and cattails. The largest Euclidean distance determined the best month to separate the spectral signatures of Phragmites and cattails. The spectroradiometer hyperspectral data for Phragmites and cattails were averaged to coincide with National Agriculture Imagery Program imagery bandwidths. Applying Normalized Difference Vegetation Index (NDVI) to the averaged bandwidths for Phragmites and cattails, the value for each month was analyzed using Euclidean distance. Results showed that the best time of the year to distinguish Phragmites from cattails was in the fall.