Characterization of an antarctic penguin colony ecosystem using high-resolution UAV hyperspectral imagery
Penguin colonies significantly influence the distribution and diversity of vegetation communities in Maritime Antarctica, as they serve as vital sources of nutrients for both terrestrial and aquatic ecosystems. Remote sensing techniques are becoming increasingly common for monitoring these vast Anta...
Published in: | International Journal of Applied Earth Observation and Geoinformation |
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Online Access: | http://hdl.handle.net/10498/32028 https://doi.org/10.1016/j.jag.2023.103565 |
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ftunivcadiz:oai:rodin.uca.es:10498/32028 2024-05-19T07:32:29+00:00 Characterization of an antarctic penguin colony ecosystem using high-resolution UAV hyperspectral imagery Román, Alejandro Tovar Sánchez, Antonio Fernández-Marín, Beatriz Navarro, Gabriel Barbero González, Luis Carlos Ciencias de la Tierra 2024-04-29T12:00:40Z application/pdf http://hdl.handle.net/10498/32028 https://doi.org/10.1016/j.jag.2023.103565 eng eng Elsevier B.V. info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098048-B-I00/ES/EL PAPEL DE LOS PINGUINOS EN LOS CICLOS BIOGEOQUIMICOS DE METALES TRAZA EN EL OCEANO AUSTRAL/ info:eu-repo/grantAgreement/AEI//PID2021-1257830-B-100 info:eu-repo/grantAgreement/AEI//EQC2018-004446-P info:eu-repo/grantAgreement/AEI//EQC2019-005721 info:eu-repo/grantAgreement/AEI//RYC2021-031321-I 1872-826X 1569-8432 http://hdl.handle.net/10498/32028 doi:10.1016/j.jag.2023.103565 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ open access International Journal of Applied Earth Observation and Geoinformation - Vol. 125, artículo número 103565 Antarctic vegetation Biological mapping Drones Multispectral Remote sensing Spectral library journal article VoR 2024 ftunivcadiz https://doi.org/10.1016/j.jag.2023.103565 2024-04-30T23:55:21Z Penguin colonies significantly influence the distribution and diversity of vegetation communities in Maritime Antarctica, as they serve as vital sources of nutrients for both terrestrial and aquatic ecosystems. Remote sensing techniques are becoming increasingly common for monitoring these vast Antarctic areas, especially with Unmanned Aerial Vehicles (UAVs) imagery, which provides the highest spatial resolutions to date. In fact, the use of hyperspectral (HS) sensors is crucial for accurately identifying and distinguishing between the main ground characteristics and vegetation communities in an Antarctic penguin colony, making this study one of the first UAV-based HS approaches to our knowledge. Consequently, this study provides a spectral library covering the entire spectral range from 400 to 2500 nm for the five main vegetation communities found at Hannah Point penguin colony (Livingston Island, Antarctica). Through this library, two valuable wavelength regions have been identified for distinguishing these communities based on pigments composition, specifically in the green (495–570 nm) and near-infrared (800–900 nm) ranges, that served as a reference for validating the results using 35 ground reference spectrometry data collected in 1667 wavelength bands within the 320–876 nm range. In addition, the supervised classification approach known as the “Spectral Angle Mapper” has been employed to monitor the coverage of each vegetation community based on the information provided by the aforementioned spectral library. The observed ecological gradient, which reveals an increase in vegetation complexity away from the high-nutrient content guano areas, highlights the influence of guano on the distribution of the main vegetation patterns across the entire penguin colony. The results of this study could serve as a reference point for more sophisticated research involving the use of UAV-based HS or MS sensors in Antarctica, offering unique opportunities to detect small variations in these remote ecosystems resulting ... Article in Journal/Newspaper Antarc* Antarctic Antarctica Livingston Island RODIN - Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz International Journal of Applied Earth Observation and Geoinformation 125 103565 |
institution |
Open Polar |
collection |
RODIN - Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz |
op_collection_id |
ftunivcadiz |
language |
English |
topic |
Antarctic vegetation Biological mapping Drones Multispectral Remote sensing Spectral library |
spellingShingle |
Antarctic vegetation Biological mapping Drones Multispectral Remote sensing Spectral library Román, Alejandro Tovar Sánchez, Antonio Fernández-Marín, Beatriz Navarro, Gabriel Barbero González, Luis Carlos Characterization of an antarctic penguin colony ecosystem using high-resolution UAV hyperspectral imagery |
topic_facet |
Antarctic vegetation Biological mapping Drones Multispectral Remote sensing Spectral library |
description |
Penguin colonies significantly influence the distribution and diversity of vegetation communities in Maritime Antarctica, as they serve as vital sources of nutrients for both terrestrial and aquatic ecosystems. Remote sensing techniques are becoming increasingly common for monitoring these vast Antarctic areas, especially with Unmanned Aerial Vehicles (UAVs) imagery, which provides the highest spatial resolutions to date. In fact, the use of hyperspectral (HS) sensors is crucial for accurately identifying and distinguishing between the main ground characteristics and vegetation communities in an Antarctic penguin colony, making this study one of the first UAV-based HS approaches to our knowledge. Consequently, this study provides a spectral library covering the entire spectral range from 400 to 2500 nm for the five main vegetation communities found at Hannah Point penguin colony (Livingston Island, Antarctica). Through this library, two valuable wavelength regions have been identified for distinguishing these communities based on pigments composition, specifically in the green (495–570 nm) and near-infrared (800–900 nm) ranges, that served as a reference for validating the results using 35 ground reference spectrometry data collected in 1667 wavelength bands within the 320–876 nm range. In addition, the supervised classification approach known as the “Spectral Angle Mapper” has been employed to monitor the coverage of each vegetation community based on the information provided by the aforementioned spectral library. The observed ecological gradient, which reveals an increase in vegetation complexity away from the high-nutrient content guano areas, highlights the influence of guano on the distribution of the main vegetation patterns across the entire penguin colony. The results of this study could serve as a reference point for more sophisticated research involving the use of UAV-based HS or MS sensors in Antarctica, offering unique opportunities to detect small variations in these remote ecosystems resulting ... |
author2 |
Ciencias de la Tierra |
format |
Article in Journal/Newspaper |
author |
Román, Alejandro Tovar Sánchez, Antonio Fernández-Marín, Beatriz Navarro, Gabriel Barbero González, Luis Carlos |
author_facet |
Román, Alejandro Tovar Sánchez, Antonio Fernández-Marín, Beatriz Navarro, Gabriel Barbero González, Luis Carlos |
author_sort |
Román, Alejandro |
title |
Characterization of an antarctic penguin colony ecosystem using high-resolution UAV hyperspectral imagery |
title_short |
Characterization of an antarctic penguin colony ecosystem using high-resolution UAV hyperspectral imagery |
title_full |
Characterization of an antarctic penguin colony ecosystem using high-resolution UAV hyperspectral imagery |
title_fullStr |
Characterization of an antarctic penguin colony ecosystem using high-resolution UAV hyperspectral imagery |
title_full_unstemmed |
Characterization of an antarctic penguin colony ecosystem using high-resolution UAV hyperspectral imagery |
title_sort |
characterization of an antarctic penguin colony ecosystem using high-resolution uav hyperspectral imagery |
publisher |
Elsevier B.V. |
publishDate |
2024 |
url |
http://hdl.handle.net/10498/32028 https://doi.org/10.1016/j.jag.2023.103565 |
genre |
Antarc* Antarctic Antarctica Livingston Island |
genre_facet |
Antarc* Antarctic Antarctica Livingston Island |
op_source |
International Journal of Applied Earth Observation and Geoinformation - Vol. 125, artículo número 103565 |
op_relation |
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098048-B-I00/ES/EL PAPEL DE LOS PINGUINOS EN LOS CICLOS BIOGEOQUIMICOS DE METALES TRAZA EN EL OCEANO AUSTRAL/ info:eu-repo/grantAgreement/AEI//PID2021-1257830-B-100 info:eu-repo/grantAgreement/AEI//EQC2018-004446-P info:eu-repo/grantAgreement/AEI//EQC2019-005721 info:eu-repo/grantAgreement/AEI//RYC2021-031321-I 1872-826X 1569-8432 http://hdl.handle.net/10498/32028 doi:10.1016/j.jag.2023.103565 |
op_rights |
Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ open access |
op_doi |
https://doi.org/10.1016/j.jag.2023.103565 |
container_title |
International Journal of Applied Earth Observation and Geoinformation |
container_volume |
125 |
container_start_page |
103565 |
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1799470533345017856 |