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@article{2245845,
author = {Váczi, Peter and Barták, Miloš},
article_location = {Brno},
article_number = {1},
doi = {http://dx.doi.org/10.5817/CPR2022-1-10},
keywords = {remote sensing; UAV; James Ross Island; vegetation mapping; spectral reflectance; functional substrate types},
language = {eng},
issn = {1805-0689},
journal = {Czech Polar Reports},
title = {Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices},
url = {https://journals.muni.cz/CPR/article/view/25404},
volume = {12},
year = {2022}
}
TY - JOUR
ID - 2245845
AU - Váczi, Peter - Barták, Miloš
PY - 2022
TI - Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices
JF - Czech Polar Reports
VL - 12
IS - 1
SP - 131-142
EP - 131-142
PB - Masaryk University Press
SN - 18050689
KW - remote sensing
KW - UAV
KW - James Ross Island
KW - vegetation mapping
KW - spectral reflectance
KW - functional substrate types
UR - https://journals.muni.cz/CPR/article/view/25404
N2 - 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.
ER -
VÁCZI, Peter and Miloš BARTÁK. Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices. \textit{Czech Polar Reports}. Brno: Masaryk University Press, 2022, vol.~12, No~1, p.~131-142. ISSN~1805-0689. Available from: https://dx.doi.org/10.5817/CPR2022-1-10.
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