Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices
| Authors | |
|---|---|
| Year of publication | 2022 |
| Type | Article in Periodical |
| Magazine / Source | Czech Polar Reports |
| MU Faculty or unit | |
| Citation | |
| Web | https://journals.muni.cz/CPR/article/view/25404 |
| Doi | http://dx.doi.org/10.5817/CPR2022-1-10 |
| Keywords | 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. |
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