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Due to both natural and anthropogenic causes, the coastal lines keeps changing dynamically and continuously their shape, position andextend over time. In this paper we propose an approach to derive a tide-coordinate shoreline from two extracted instantaneous shorelinescorresponding to a nearly low tide and high tide events. First, all the multispectral images are panshaperned to meet the 15 meters spatialresolution of the panchromatic images. Second, by using the Modification of Normalized Difference Water Index (MNDWI) and thekmeans clustering method we extract the raster shoreline for each image acquisition time. Third, each raster shoreline is smoothedand vectorized using a penalized least square method. Fourth, a 2D constrained Delaunay triangulation is built from the two extractedinstantaneous shorelines with their respective heights interpolated from a Tidal gauche station. Finally, the desired tide-coordinateshoreline is interpolated from the previous triangular intertidal surface. The results show that an automatic tide-coordinated extractionmethod can be efficiently implemented using free available remote sensing imagery data (Landsat 8) and open source software (QGISand Orfeo toolbox) and python scripting for task automation and software integration

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

AUTOMATIC EXTRACTION OF TIDE-COORDINATED SHORELINE USING OPEN SOURCE SOFTWARE AND LANDSAT IMAGERY