Extraction of shorelines with sub-pixel precision from Landsat images (TM, ETM+, OLI)

J. Almonacid-Caballer

Spain

Universitat Politècnica de València

Submitted: 2015-05-25

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Accepted: 2015-05-25

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Published: 2015-06-26

DOI: https://doi.org/10.4995/raet.2015.3916
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Keywords:

Landsat, sub-píxel, línea de costa

Supporting agencies:

This research was not funded

Abstract:

This thesis presents and evaluate a methodology for automatic extraction of shorelines with sub-pixel precision from Landsat 5, 7 and 8 images acquired by sensors TM, ETM+ and OLI, respectively.
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References:

Guizar-Sicairos, M., Thurman, S. T., Fienup, J. R. 2008. Efficient subpixel image registration algorithms. Optics Letters, 33(2), 156-158. http://dx.doi.org/10.1364/OL.33.000156

Pardo-Pascual, J.E., Almonacid-Caballer, J., Ruiz, L.A. Palomar-Vázquez, J. 2012. Automatic extraction of shorelines from Landsat TM and ETM+ multitemporal images with subpixel precision. Remote Sensing of Environment, 123, 1-11. http://dx.doi.org/10.1016/j.rse.2012.02.024

Pardo-Pascual, J.E., Almonacid-Caballer, J., Ruiz, L.A., Palomar-Vázquez, J., Rodrigo-Alemany, R. 2014. Evaluation of storm impact in sandy beaches

of the Gulf of Valencia using Landsat imagery series. Geomorphology, 214, 388-401. http://dx.doi.org/10.1016/j.geomorph.2014.02.020

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