Case Studies
Feb 27, 2017

Three Most Widely Used GNSS-Based Shoreline Monitoring Methods to Support Integrated Coastal Zone Management Policies

Publication: Journal of Surveying Engineering
Volume 143, Issue 3

Abstract

Shoreline monitoring is essential for integrated coastal zone management (ICZM). It provides the necessary information needed to manage the settlement of coastal areas, establishes guidelines for management of socioeconomic activities within the coastal areas, provides information necessary for recovery actions of beach regeneration, and provides a reference baseline for studies related to climate change in coastal zones. Shoreline monitoring methods are largely dependent on goals, costs, implementation, and applicability. For monitoring of short coastal shorelines (e.g., tens to hundreds of kilometers), global navigation satellite system (GNSS)-based methods are emerging as low-cost approaches that offer rapid, weather-independent, and quickly updatable products that could benefit policy makers when high costs of traditional methods, such as photogrammetry and remote sensing, are of concern. However, various GNSS methods applicable to shoreline monitoring exist, making it difficult for decision makers to choose a suitable approach. Using a case study of the Pernambuco State ICZM in Brazil, this study evaluates three of the most commonly used GNSS-based shoreline monitoring methods, that is, relative kinematic (RK), real-time kinematic (RTK), and precise point positioning (PPP) methods. It also provides a comprehensive analysis of their strengths and limitations. The results highlight the issues and important considerations in choosing an economically viable GNSS method for mapping shoreline changes, particularly for supporting ICZM policies.

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Acknowledgments

The first author acknowledges the financial support of the Post-Doctoral CNPq scholarship (233170/2013-8) that supported his stay at Curtin University, Australia, and the support of CNPq Grant 310412/2015-3/PQ level 2. The authors are also grateful for the Brazilian Science without Borders Program/CAPES Grant 88881.068057/2014-01, which supported Dr. Awange’s stay at the UFPE, Brazil.

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Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 143Issue 3August 2017

History

Received: Apr 6, 2016
Accepted: Nov 9, 2016
Published online: Feb 27, 2017
Discussion open until: Jul 27, 2017
Published in print: Aug 1, 2017

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Authors

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Associate Professor, Dept. of Cartographic Engineering, Federal Univ. of Pernambuco (UFPE) Geodetic Science and Technology of Geoinformation Post Graduation Program, Av. Academico Helio Ramos, s/n - 2° andar, Recife-PE 50740-530, Brazil (corresponding author). ORCID: https://orcid.org/0000-0002-5066-1910. E-mail: [email protected]
J. L. Awange, Ph.D. [email protected]
Associate Professor, Western Australian Centre for Geodesy and Institute for Geoscience Research, Curtin Univ., GPO Box U1987, Perth, WA 6845, Australia, E-mail: [email protected]

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