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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Language: | English |
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2023
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Online Access: | https://doi.org/10.1016/j.jag.2023.103565 https://doaj.org/article/7c054a6ddcc04a82be2205f8d9b86041 |
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ftdoajarticles:oai:doaj.org/article:7c054a6ddcc04a82be2205f8d9b86041 2024-01-14T10:00:55+01:00 Characterization of an antarctic penguin colony ecosystem using high-resolution UAV hyperspectral imagery Alejandro Román Antonio Tovar-Sánchez Beatriz Fernández-Marín Gabriel Navarro Luis Barbero 2023-12-01T00:00:00Z https://doi.org/10.1016/j.jag.2023.103565 https://doaj.org/article/7c054a6ddcc04a82be2205f8d9b86041 EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S1569843223003898 https://doaj.org/toc/1569-8432 1569-8432 doi:10.1016/j.jag.2023.103565 https://doaj.org/article/7c054a6ddcc04a82be2205f8d9b86041 International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103565- (2023) Remote sensing Antarctic vegetation Multispectral Drones Biological mapping Spectral library Physical geography GB3-5030 Environmental sciences GE1-350 article 2023 ftdoajarticles https://doi.org/10.1016/j.jag.2023.103565 2023-12-17T01:36:58Z 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 Directory of Open Access Journals: DOAJ Articles Antarctic Guano ENVELOPE(141.604,141.604,-66.775,-66.775) Hannah ENVELOPE(-60.613,-60.613,-62.654,-62.654) Hannah Point ENVELOPE(-60.617,-60.617,-62.650,-62.650) Livingston Island ENVELOPE(-60.500,-60.500,-62.600,-62.600) International Journal of Applied Earth Observation and Geoinformation 125 103565 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Remote sensing Antarctic vegetation Multispectral Drones Biological mapping Spectral library Physical geography GB3-5030 Environmental sciences GE1-350 |
spellingShingle |
Remote sensing Antarctic vegetation Multispectral Drones Biological mapping Spectral library Physical geography GB3-5030 Environmental sciences GE1-350 Alejandro Román Antonio Tovar-Sánchez Beatriz Fernández-Marín Gabriel Navarro Luis Barbero Characterization of an antarctic penguin colony ecosystem using high-resolution UAV hyperspectral imagery |
topic_facet |
Remote sensing Antarctic vegetation Multispectral Drones Biological mapping Spectral library Physical geography GB3-5030 Environmental sciences GE1-350 |
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 ... |
format |
Article in Journal/Newspaper |
author |
Alejandro Román Antonio Tovar-Sánchez Beatriz Fernández-Marín Gabriel Navarro Luis Barbero |
author_facet |
Alejandro Román Antonio Tovar-Sánchez Beatriz Fernández-Marín Gabriel Navarro Luis Barbero |
author_sort |
Alejandro Román |
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 |
publishDate |
2023 |
url |
https://doi.org/10.1016/j.jag.2023.103565 https://doaj.org/article/7c054a6ddcc04a82be2205f8d9b86041 |
long_lat |
ENVELOPE(141.604,141.604,-66.775,-66.775) ENVELOPE(-60.613,-60.613,-62.654,-62.654) ENVELOPE(-60.617,-60.617,-62.650,-62.650) ENVELOPE(-60.500,-60.500,-62.600,-62.600) |
geographic |
Antarctic Guano Hannah Hannah Point Livingston Island |
geographic_facet |
Antarctic Guano Hannah Hannah Point Livingston Island |
genre |
Antarc* Antarctic Antarctica Livingston Island |
genre_facet |
Antarc* Antarctic Antarctica Livingston Island |
op_source |
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103565- (2023) |
op_relation |
http://www.sciencedirect.com/science/article/pii/S1569843223003898 https://doaj.org/toc/1569-8432 1569-8432 doi:10.1016/j.jag.2023.103565 https://doaj.org/article/7c054a6ddcc04a82be2205f8d9b86041 |
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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1788066785924218880 |