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Accuracy of shoreline forecasting using sparse data

  • Published:2023-05 Issue: Volume:239 Page:106621
  • ISSN:0964-5691
  • Container-title:Ocean & Coastal Management
  • language:en
  • Short-container-title:Ocean & Coastal Management

Author:

Farris Amy S.ORCID,Long Joseph W.,Himmelstoss Emily A.ORCID

Funder

Massachusetts Office of Coastal Zone Management

University of North Carolina Wilmington

U.S. Geological Survey

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Aquatic Science,Oceanography

Reference43 articles.

1. Accuracy of shoreline change rates as determined from maps and aerial photographs;Anders;Shore Beach,1991

2. Estimating quantitative morphometric parameters and spatiotemporal evolution of the Prokopos Lagoon using remote sensing techniques;Apostolopoulos;J. Mar. Sci. Eng.,2022

3. Assessment and quantification of the accuracy of low-and high-resolution remote sensing data for shoreline monitoring;Apostolopoulos;ISPRS Int. J. Geo-Inf.,2020

4. Shoreline changes analysis and forecast using digital shoreline assessment system 5.0: evidences from parts of east coast of India;Barik;J. Indian Soc.Remote Sens.,2021

5. Massachusetts Shoreline Change Project—A GIS Compilation of Vector Shorelines (1844-2018);Barlett,2021
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