Effects of lake level fluctuations on coastal bluff erosion in the Great Lakes are pervasive and of significant concern to policy-makers and property owners. Previous studies of bluff erosion have primarily estimated two-dimensional bluff recession rates over years to decades. However, bluff erosion is an irregular process in time and space so averaging coarse resolution observations over long time periods may neglect important processes driving erosion. To address this we use photogrammetric surveys of a Lake Michigan bluff to create four high resolution (10 cm) digital elevation models (DEMs) that span one year with images collected from small unoccupied aerial systems (sUAS). The elevation models were differenced to compare variations in sediment loss to modelled time-series of wave data, atmospheric temperature and lake level. The sub-annual erosion rates calculated from sUAS surveys were compared to long-term recession rates obtained by digitizing historic aerial imagery. The rate of erosion of the bluffs is a time dependent function of two factors: (1) the supply of sediment to lower regions on the bluffs from mass wasting and (2) increased wave erosion resulting from above-average lake levels and intensified onshore wave energy. These factors combine in the early spring when wave energy is elevated and atmospheric temperatures increase, causing reduction in bluff sediment strength by thawing, as well as an increase in porewater pressure from snow melt. Most importantly, above-average lake levels sustained in the longer term (multiple years) are required for the combination of (1) and (2) to result in substantial bluff erosion.
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