Multispectral aerial monitoring of a patchy vegetation oasis
composed of different vegetation classes. UAV-based study
exploiting spectral reflectance indices

J 2022

Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices

VÁCZI, Peter and Miloš BARTÁK

Basic information

Original name

Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices

Authors

VÁCZI, Peter (703 Slovakia, guarantor, belonging to the institution) and Miloš BARTÁK (203 Czech Republic, belonging to the institution)

Edition

Czech Polar Reports, Brno, Masaryk University Press, 2022, 1805-0689

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10511 Environmental sciences

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 1.000

RIV identification code

RIV/00216224:14310/22:00127920

Organization unit

Faculty of Science

DOI

http://dx.doi.org/10.5817/CPR2022-1-10

UT WoS

000862170100010

Keywords in English

remote sensing; UAV; James Ross Island; vegetation mapping; spectral reflectance; functional substrate types

Abstract

V originále

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.

Links

EF16_013/0001708, research and development project

Name: ECOPOLARIS - Změny ve struktuře a funkci součástí terestrických polárních ekosystémů (CzechPolar2)

LM2015078, research and development project

Name: Česká polární výzkumná infrastruktura (Acronym: CzechPolar2)

Investor: Ministry of Education, Youth and Sports of the CR

LM2018140, research and development project

Name: e-Infrastruktura CZ (Acronym: e-INFRA CZ)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

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. 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.

@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.

Detailed Information on Publication Record