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...
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ftmasarykunivojs:oai:ojs.journals.muni.cz:article/25404 2023-05-15T13:46:41+02:00 Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices Váczi, Peter Barták, Miloš 2022-09-05 application/pdf https://journals.muni.cz/CPR/article/view/25404 eng eng Masaryk Univerzity https://journals.muni.cz/CPR/article/view/25404/25175 https://journals.muni.cz/CPR/article/view/25404 Copyright (c) 2022 Czech Polar Reports https://creativecommons.org/licenses/by-nc-nd/4.0/ CC-BY-NC-ND Czech Polar Reports; Vol 12 No 1 (2022); 131-142 Czech Polar Reports; Vol. 12 No. 1 (2022); 131-142 1805-0697 1805-0689 remote sensing UAV James Ross Island vegetation mapping spectral reflectance functional substrate types info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2022 ftmasarykunivojs 2022-09-12T23:20:07Z 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 Masaryk University Journals Antarctic Ross Island |
institution |
Open Polar |
collection |
Masaryk University Journals |
op_collection_id |
ftmasarykunivojs |
language |
English |
topic |
remote sensing UAV James Ross Island vegetation mapping spectral reflectance functional substrate types |
spellingShingle |
remote sensing UAV James Ross Island vegetation mapping spectral reflectance functional substrate types Váczi, Peter Barták, Miloš Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices |
topic_facet |
remote sensing UAV James Ross Island vegetation mapping spectral reflectance functional substrate types |
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 |
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 Univerzity |
publishDate |
2022 |
url |
https://journals.muni.cz/CPR/article/view/25404 |
geographic |
Antarctic Ross Island |
geographic_facet |
Antarctic Ross Island |
genre |
Antarc* Antarctic Antarctica James Ross Island Ross Island |
genre_facet |
Antarc* Antarctic Antarctica James Ross Island Ross Island |
op_source |
Czech Polar Reports; Vol 12 No 1 (2022); 131-142 Czech Polar Reports; Vol. 12 No. 1 (2022); 131-142 1805-0697 1805-0689 |
op_relation |
https://journals.muni.cz/CPR/article/view/25404/25175 https://journals.muni.cz/CPR/article/view/25404 |
op_rights |
Copyright (c) 2022 Czech Polar Reports https://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_rightsnorm |
CC-BY-NC-ND |
_version_ |
1766245093263540224 |