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Comparison of Vegetation Spectral Indices Based on UAV Data: Land Cover Identification Near Small Water Bodies
Middle- and low-class unmanned aerial vehicles (UAV) can be used for land cover/land use identification on demand even in the case they are equipped only with an RGB camera. UAV is used as a cheap and on-demand available solution for remote data sensing for smaller areas, with respect to legal regulations and weather conditions. The paper is focused on land cover identification near a small water body, which is based on RGB data collected by UAV and on vegetation spectral indices. The Green Chromatic Coordinate (GCC), Green Leaf Index (GLI), Green Leaf Index 2 (GLI2), Normalized Green-Red Difference Index (NGRDI), Red-Green-Blue Vegetation Index (RGBVI), Triangular Greenness Index (TGI), Visible Atmospherically Resistant Index (VARI), and Vegetation Index of Excess Green (ExG) are used to process the collected imagery and identify particular land cover types. The spectal indices can be very usefull.