Automated waterline mapping using deep learning
A figure demonstrating automated waterline mapping using deep learning. The left panel shows a time-series of Landsat-8 imagery near Duck, North Carolina, in the vicinity of the USACE Field Research Facility pier (marked on the image). Imagery spans the period 02/15/2015 to 09/11/2021 The middle panel shows output from a 4-part image segmentation model trained to recognize the following categories:
b) surf (whitewater / broken waves),
c) sand, and
Proportions of sand and surf pixels are enumerated and shown. The left panel shows the waterline contour, extracted automatically from the image segmentation results.