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Evaluation of vector coastline features extracted from 'structure from motion'-derived elevation data

Nicole Kinsman·Ann E. Gibbs·Matt Nolan
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Abstract

For extensive and remote coastlines, the absence of high-quality elevation models—for example, those produced with lidar—leaves some coastal populations lacking one of the essential elements for mapping shoreline positions or flood extents. Here, we compare seven different elevation products in a lowlying area in western Alaska to establish their appropriateness for coastal mapping applications that require the delineation of elevation-based vectors. We further investigate the effective use of a Structure from Motion (SfM)-derived surface model (vertical RMSE<20 cm) by generating a tidal datum-based shoreline and an inundation extent map for a 2011 flood event. Our results suggest that SfM-derived elevation products can yield elevation-based vector features that have horizontal positional uncertainties comparable to those derived from other techniques. We also provide a rule-of-thumb equation to aid in the selection of minimum elevation model specifications based on terrain slope, vertical uncertainties, and desired horizontal accuracy.

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Nicole Kinsman, Ann E. Gibbs, Matt Nolan. 2015-04-15. Evaluation of vector coastline features extracted from 'structure from motion'-derived elevation data. https://doi.org/10.1142/9789814689977_0251

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