The LiDAR-based topo-hydrological modelling of the Nigula mire, SW Estonia

There was no big influence of the used cell scales and algorithms on the mean topographical properties of the Nigula mire digital elevation models (DEMs). The DEMs, generated using the Triangulated Irregular Network and Inverse Distance Weighted algorithms, revealed the closest mire surface properties from all used generation algorithms. The subtracted MAX–MIN DEMs layer revealed a well visible net of ditches and possible plant cover pattern differentiated in vertical scale. In the Nigula mire 58% of the mire surface basins have S–SW orientation, followed by the levelled and less fractionated N–NE basin region (23% coverage), and the most fractionated but with steeper sloping W-orientated basin region (8% coverage).