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Recognition of the coastal dune migration micro-deformation in Changli Gold Coast of China based on GB-InSAR

Lookup NU author(s): Professor Zhenhong Li

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This is the authors' accepted manuscript of an article that has been published in its final definitive form by Taylor and Francis Ltd, 2021.

For re-use rights please refer to the publisher's terms and conditions.


Abstract

© 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.Based on an analysis of current research regarding dune migration and deformation monitoring methods, high-precision ground-based synthetic aperture radar (GB-InSAR) interferometry was used for continuous dynamic monitoring of the migration and deformation of dunes in Changli Gold Coast in Hebei Province, China, a typical area of coastal dunes. Methods for interpretation and key data processing were investigated. The results showed that the maximum deformation of dunes reached 7 mm during the monitoring period and that the deformation of the topset of the dune was greater than that of the slope foot. With GB-InSAR technology, millimeter-scale deformation can be effectively recognized. This method can be applied to monitor real-time dynamic micro-deformation of coastal dunes because of its excellent precision. It offers good application prospects if popularized and applied in coastal dune migration monitoring. This study not only enriches the research methods and content for studying coastal wind–sand issues but also provides a scientific basis for the protection and development of the study area.


Publication metadata

Author(s): Ma D, Liu Y, Li Z, Bao H, Jin Z

Publication type: Article

Publication status: Published

Journal: Marine Georesources and Geotechnology

Year: 2021

Volume: 39

Issue: 6

Pages: 747-755

Online publication date: 20/04/2020

Acceptance date: 10/04/2020

Date deposited: 27/06/2020

ISSN (print): 1064-119X

ISSN (electronic): 1521-0618

Publisher: Taylor and Francis Ltd

URL: https://doi.org/10.1080/1064119X.2020.1755917

DOI: 10.1080/1064119X.2020.1755917


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