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Alien Plant Monitoring with Ultralight Airborne Imaging Spectroscopy

Effective management of invasive plants requires a precise determination of their distribution. Remote sensing techniques constitute a promising alternative to field surveys and hyperspectral sensors (also known as imaging spectrometers, with a large number of spectral bands and high spectral resolu...

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Detalles Bibliográficos
Autores principales: Calviño-Cancela, María, Méndez-Rial, Roi, Reguera-Salgado, Javier, Martín-Herrero, Julio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4092129/
https://www.ncbi.nlm.nih.gov/pubmed/25010601
http://dx.doi.org/10.1371/journal.pone.0102381
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author Calviño-Cancela, María
Méndez-Rial, Roi
Reguera-Salgado, Javier
Martín-Herrero, Julio
author_facet Calviño-Cancela, María
Méndez-Rial, Roi
Reguera-Salgado, Javier
Martín-Herrero, Julio
author_sort Calviño-Cancela, María
collection PubMed
description Effective management of invasive plants requires a precise determination of their distribution. Remote sensing techniques constitute a promising alternative to field surveys and hyperspectral sensors (also known as imaging spectrometers, with a large number of spectral bands and high spectral resolution) are especially suitable when very similar categories are to be distinguished (e.g. plant species). A main priority in the development of this technology is to lower its cost and simplify its use, so that its demonstrated aptitude for many environmental applications can be truly realized. With this aim, we have developed a system for hyperspectral imaging (200 spectral bands in the 380–1000 nm range and circa 3 nm spectral resolution) operated on board ultralight aircraft (namely a gyrocopter), which allows a drastic reduction of the running costs and operational complexity of image acquisition, and also increases the spatial resolution of the images (circa 5–8 pixels/m(2) at circa 65 km/h and 300 m height). The detection system proved useful for the species tested (Acacia melanoxylon, Oxalis pes-caprae, and Carpobrotus aff. edulis and acinaciformis), with user’s and producer’s accuracy always exceeding 90%. The detection accuracy reported corresponds to patches down to 0.125 m(2) (50% of pixels 0.5×0.5 m in size), a very small size for many plant species, making it very effective for initial stages of invasive plant spread. In addition, its low operating costs, similar to those of a 4WD ground vehicle, facilitate frequent image acquisition. Acquired images constitute a permanent record of the status of the study area, with great amount of information that can be analyzed in the future for other purposes, thus greatly facilitating the monitoring of natural areas at detailed spatial and temporal scales for improved management.
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spelling pubmed-40921292014-07-18 Alien Plant Monitoring with Ultralight Airborne Imaging Spectroscopy Calviño-Cancela, María Méndez-Rial, Roi Reguera-Salgado, Javier Martín-Herrero, Julio PLoS One Research Article Effective management of invasive plants requires a precise determination of their distribution. Remote sensing techniques constitute a promising alternative to field surveys and hyperspectral sensors (also known as imaging spectrometers, with a large number of spectral bands and high spectral resolution) are especially suitable when very similar categories are to be distinguished (e.g. plant species). A main priority in the development of this technology is to lower its cost and simplify its use, so that its demonstrated aptitude for many environmental applications can be truly realized. With this aim, we have developed a system for hyperspectral imaging (200 spectral bands in the 380–1000 nm range and circa 3 nm spectral resolution) operated on board ultralight aircraft (namely a gyrocopter), which allows a drastic reduction of the running costs and operational complexity of image acquisition, and also increases the spatial resolution of the images (circa 5–8 pixels/m(2) at circa 65 km/h and 300 m height). The detection system proved useful for the species tested (Acacia melanoxylon, Oxalis pes-caprae, and Carpobrotus aff. edulis and acinaciformis), with user’s and producer’s accuracy always exceeding 90%. The detection accuracy reported corresponds to patches down to 0.125 m(2) (50% of pixels 0.5×0.5 m in size), a very small size for many plant species, making it very effective for initial stages of invasive plant spread. In addition, its low operating costs, similar to those of a 4WD ground vehicle, facilitate frequent image acquisition. Acquired images constitute a permanent record of the status of the study area, with great amount of information that can be analyzed in the future for other purposes, thus greatly facilitating the monitoring of natural areas at detailed spatial and temporal scales for improved management. Public Library of Science 2014-07-10 /pmc/articles/PMC4092129/ /pubmed/25010601 http://dx.doi.org/10.1371/journal.pone.0102381 Text en © 2014 Calviño-Cancela et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Calviño-Cancela, María
Méndez-Rial, Roi
Reguera-Salgado, Javier
Martín-Herrero, Julio
Alien Plant Monitoring with Ultralight Airborne Imaging Spectroscopy
title Alien Plant Monitoring with Ultralight Airborne Imaging Spectroscopy
title_full Alien Plant Monitoring with Ultralight Airborne Imaging Spectroscopy
title_fullStr Alien Plant Monitoring with Ultralight Airborne Imaging Spectroscopy
title_full_unstemmed Alien Plant Monitoring with Ultralight Airborne Imaging Spectroscopy
title_short Alien Plant Monitoring with Ultralight Airborne Imaging Spectroscopy
title_sort alien plant monitoring with ultralight airborne imaging spectroscopy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4092129/
https://www.ncbi.nlm.nih.gov/pubmed/25010601
http://dx.doi.org/10.1371/journal.pone.0102381
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