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Extracting Shoreline from Satellite Imagery for GIS Analysis

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A Correction to this article was published on 20 January 2020

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Abstract

A shoreline is a highly dynamic part of the earth’s surface. Advanced remote sensing (RS) and geographic information system (GIS) techniques are being used for detection of shoreline position and change analysis. In this paper, a new methodology for automatic shoreline extraction is demonstrated and analyzed using Landsat 8 Operational Land Imager (OLI)/Thermal Infrared Sensor (TIRS) images. The methodology involves several stages consisting of preprocessing of satellite images, band selection, coastal water index (CWI) preparation, normalization of binary images, Otsu thresholding technique (named after Nobuyuki Otsu) for the land and water separation, image noise correction with morphological filter (image morphology), seawater separation from waterbody, vectorization of classified binary image, polyline conversion from polygon vector, shoreline selection, and generalization of the final shoreline. The positional accuracy of the final shoreline is evaluated with expert captured shoreline. It was observed that the average positional difference between computer generated shoreline and expert digitized shoreline was less than a pixel resolution. The proposed methodology is very helpful in any coastal application where the shoreline is used as a parameter. It also reduces the time of human intervention.

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  • 20 January 2020

    The original version of this article unfortunately contained some mistakes. At Section 2.3 Image Classification, the following sentences are technically not correct.

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Acknowledgments

The authors express their sincere gratitude to Dr. Ashis Kumar Paul, Head of the department of Geography, Vidyasagar University, Midnapore for providing valuable guidance, support, and constant encouragement. The authors are thankful to the reviewers for their valuable suggestions. The authors would also like to thank the various data sources for the free accessibility of data.

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Authors and Affiliations

  1. Paschim Medinipur, India

    Debabrata Ghorai

  2. National Centre for Sustainable Coastal Management, Ministry of Environment, Forest and Climate Change, Anna University Campus, Chennai, Tamil Nadu, India

    Manik Mahapatra

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  1. Debabrata Ghorai
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  2. Manik Mahapatra
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"The original version of this article was revised: "The 2 sentences at Section 2.3 Image Classification, ”lf the binary..program.” and “To reduce...levels.” are not correct.

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Ghorai, D., Mahapatra, M. Extracting Shoreline from Satellite Imagery for GIS Analysis. Remote Sens Earth Syst Sci 3, 13–22 (2020). https://doi.org/10.1007/s41976-019-00030-w

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  • DOI: https://doi.org/10.1007/s41976-019-00030-w

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