Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices
The study brings data on monitoring of spectral refectance signatures of different components of Antarctic terrestrial vegetation by using a high-resolution multispectral images. The aim of the study was to compare several spots of a vegetation oasis by mapping vegetation cover using an UAV approach...
Published in: | Czech Polar Reports |
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Masaryk University Press
2022
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Online Access: | http://dx.doi.org/10.5817/cpr2022-1-10 https://journals.muni.cz/CPR/article/download/25404/20821 |
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crmasarykunivpr:10.5817/cpr2022-1-10 2024-05-19T07:32:35+00:00 Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices Váczi, Peter Barták, Miloš 2022 http://dx.doi.org/10.5817/cpr2022-1-10 https://journals.muni.cz/CPR/article/download/25404/20821 unknown Masaryk University Press https://creativecommons.org/licenses/by-nc-nd/4.0/ Czech Polar Reports volume 12, issue 1, page 131-142 ISSN 1805-0697 1805-0689 journal-article 2022 crmasarykunivpr https://doi.org/10.5817/cpr2022-1-10 2024-04-30T06:41:29Z The study brings data on monitoring of spectral refectance signatures of different components of Antarctic terrestrial vegetation by using a high-resolution multispectral images. The aim of the study was to compare several spots of a vegetation oasis by mapping vegetation cover using an UAV approach. This study provides data on vegetation distribution within a long-term research plot (LTRP) located at the northern coast of James Ross Island (Antarctica). Apart from normalized difference vegetation index (NDVI), 10 spectral reflectance indices (NDVI, NDVIRed-edge, RGBVI, NGRDI, ExG, TGI MSR, MSRRed-edge, Clgreen, ClRed-edge, GLI) were evaluated for different spots representing vegetation classes dominated by different Antarctic autotrophs. The UAV application and spectral reflectance indices proved their capability to detect and map small-area vegetated patches (with the smallest area of 10 cm2) dominated by different Antarctic autotrophs, and identify their classes (moss / lichens / biological soil crusts / microbiological mats / stream bottom microbiological mats). The methods used in our study revealed sufficiently high resolution of particular vegetation-covered surfaces and the spectral indices provided important indicators for environmental characteristics of the long-term research plot at the James Ross Island, Antarctica. Article in Journal/Newspaper Antarc* Antarctic Antarctica James Ross Island Ross Island Munipress - Masaryk University Press Czech Polar Reports 12 1 131 142 |
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Open Polar |
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Munipress - Masaryk University Press |
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crmasarykunivpr |
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unknown |
description |
The study brings data on monitoring of spectral refectance signatures of different components of Antarctic terrestrial vegetation by using a high-resolution multispectral images. The aim of the study was to compare several spots of a vegetation oasis by mapping vegetation cover using an UAV approach. This study provides data on vegetation distribution within a long-term research plot (LTRP) located at the northern coast of James Ross Island (Antarctica). Apart from normalized difference vegetation index (NDVI), 10 spectral reflectance indices (NDVI, NDVIRed-edge, RGBVI, NGRDI, ExG, TGI MSR, MSRRed-edge, Clgreen, ClRed-edge, GLI) were evaluated for different spots representing vegetation classes dominated by different Antarctic autotrophs. The UAV application and spectral reflectance indices proved their capability to detect and map small-area vegetated patches (with the smallest area of 10 cm2) dominated by different Antarctic autotrophs, and identify their classes (moss / lichens / biological soil crusts / microbiological mats / stream bottom microbiological mats). The methods used in our study revealed sufficiently high resolution of particular vegetation-covered surfaces and the spectral indices provided important indicators for environmental characteristics of the long-term research plot at the James Ross Island, Antarctica. |
format |
Article in Journal/Newspaper |
author |
Váczi, Peter Barták, Miloš |
spellingShingle |
Váczi, Peter Barták, Miloš Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices |
author_facet |
Váczi, Peter Barták, Miloš |
author_sort |
Váczi, Peter |
title |
Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices |
title_short |
Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices |
title_full |
Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices |
title_fullStr |
Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices |
title_full_unstemmed |
Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices |
title_sort |
multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. uav-based study exploiting spectral reflectance indices |
publisher |
Masaryk University Press |
publishDate |
2022 |
url |
http://dx.doi.org/10.5817/cpr2022-1-10 https://journals.muni.cz/CPR/article/download/25404/20821 |
genre |
Antarc* Antarctic Antarctica James Ross Island Ross Island |
genre_facet |
Antarc* Antarctic Antarctica James Ross Island Ross Island |
op_source |
Czech Polar Reports volume 12, issue 1, page 131-142 ISSN 1805-0697 1805-0689 |
op_rights |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_doi |
https://doi.org/10.5817/cpr2022-1-10 |
container_title |
Czech Polar Reports |
container_volume |
12 |
container_issue |
1 |
container_start_page |
131 |
op_container_end_page |
142 |
_version_ |
1799470687662899200 |