The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-7/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 953–957, 2015
https://doi.org/10.5194/isprsarchives-XL-7-W3-953-2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 953–957, 2015
https://doi.org/10.5194/isprsarchives-XL-7-W3-953-2015

  30 Apr 2015

30 Apr 2015

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

G. Gonçalves1,2, N. Duro3, E. Sousa2,4, and I. Figueiredo2,4 G. Gonçalves et al.
  • 1INESC-Coimbra, Rua Antero de Quental 199, 3000-033 Coimbra, Portugal
  • 2Dept. of Mathematics, University of Coimbra, Portugal
  • 3www.bluecover.pt, Portugal
  • 4CMUC, Apartado 3008, EC Santa Cruz, 3001 - 50, Portugal

Keywords: Landsat, Open source software, instantaneous shoreline, tide-coordinate shoreline, Constrained Delaunay Triangulation

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