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Remote sensing methods have been used successfully to monitor changes in the landscape. At present, unmanned aerial vehicles (UAVs) are also increasingly used. The article shows how to use the middle-class dron, specifically DJI Phantom 3 with a built-in camera, to monitor and document changes in the vicinity of small water bodies where a part of the shore is poorly accessible or totally unavailable. The obtained data can be further processed by conventional digital image processing methods such as image classification, highlighting through spectral indexes, or even visually comparing.

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The article describes a way for identification of land cover types and consequently land cover changes around a small water body, which is based on spectral enhancement of RGB UAV-based data. A middleclass unmanned aerial vehicle (UAV)-DJI Phantom 3 Pro, was used for data collection. UAV represents a cheap and on-demand available solution for remote data sensing. Its utilization is limited by weather conditions and particular legal regulations must be followed. The article is focused on a monitoring of a small water body and its surrounding by spectral enhancement. Spectral indices, which are calculated only from the visible bands, are used to identify particular land cover types: Color Index of Vegetation Extraction (CIVE), Excess Green (ExG), Excess Red (ExR), Green Leaf Index (GLI), Normalized Green-Red Difference Index (NGRDI), Red-Green-Blue Vegetation Index (RGBVI), Visible Atmospherically Resistant Index (VARI), and ExG-ExR difference. Low pass filtering was used for post-processing and results were simply visualised in a form of classified raster (by natural breaks-Jenks). Even this simple spectral enhancement of imagery supports its visual interpretation. Visible spectral indices highlight particular land cover types, namely green vegetation and water surface but other types of land cover can be distinguished as well.

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