Invasive Species in Forests and Rangelands of the United States 2021
DOI: 10.1007/978-3-030-45367-1_11
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Tools and Technologies for Quantifying Spread and Impacts of Invasive Species

Abstract: The need for tools and technologies for understanding and quantifying invasive species has never been greater. Rates of infestation vary on the species or organism being examined across the United States, and notable examples can be found. For example, from 2001 to 2003 alone, ash (Fraxinus spp.) mortality progressed at a rate of 12.97 km year −1 (Siegert et al. 2014), and cheatgrass (Bromus tectorum) is expected to increase dominance on 14% of Great Basin rangelands (Boyte et al. 2016). The magnitude and scop… Show more

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Cited by 1 publication
(3 citation statements)
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References 135 publications
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“…Remote sensors on satellite or airborne platforms can detect some IAS through direct and indirect observations, allowing for repeated detection without the need for in situ searchers or monitoring devices. Such applications are primarily useful for plants (especially trees and grasses) and species that affect them (Vaz et al ., 2019; Reeves et al ., 2021), although fishes have been detected using airborne LiDAR (light detection and ranging; e.g. Roddewig et al ., 2018).…”
Section: Ias Occurrence Datamentioning
confidence: 99%
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“…Remote sensors on satellite or airborne platforms can detect some IAS through direct and indirect observations, allowing for repeated detection without the need for in situ searchers or monitoring devices. Such applications are primarily useful for plants (especially trees and grasses) and species that affect them (Vaz et al ., 2019; Reeves et al ., 2021), although fishes have been detected using airborne LiDAR (light detection and ranging; e.g. Roddewig et al ., 2018).…”
Section: Ias Occurrence Datamentioning
confidence: 99%
“…Hyperspectral imagery, which can describe hundreds of unique spectral ‘bands’ within the electromagnetic spectrum, is opening the door for more direct species detection using species‐specific colour signatures, allowing the detection of IAS that are small, cryptic, or visually similar to native species (Tesfamichael et al ., 2018). The rapid advance in hyperspectral libraries opens the possibility for widespread IAS detection (Meerdink et al ., 2019); NASA's HyspIRI (Hyperspectral Infrared Imager) and other next‐generation satellite hyperspectral imagers offer potential global coverage and frequent sampling of unique spectral signatures in both aquatic and terrestrial ecosystems pertaining to IAS; including, distribution, habitat suitability, and individual health (Reeves et al ., 2021). A key enabling technology for hyperspectral data is the development of flexible and efficient machine‐learning algorithms and readily accessible computing and storage capacity on the cloud that enable efficient information extraction from massive hyperspectral data volumes (e.g.…”
Section: Ias Occurrence Datamentioning
confidence: 99%
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