Analysis of sand mining in a mega-delta using satellite image processing

Applied to the Vietnamese Mekong Delta

Master thesis (2023)

Authors

M.C. Eek Civil Engineering & Geosciences

Contributors

C.J. Sloff Rivers, Ports, Waterways and Dredging Engineering - CEG (mentor)
A. Blom Rivers, Ports, Waterways and Dredging Engineering - CEG (graduation committee member)
S.L.M. Lhermitte Mathematical Geodesy and Positioning - CEG (graduation committee member)
S. Eslami Deltares (graduation committee member)
Antonio M. Moreno-Rodenas Deltares (graduation committee member)
Faculty
Civil Engineering & Geosciences, Civil Engineering & Geosciences
Copyright: © 2023 Majolie Eek
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Published Date

06-12-2023

Language

English

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Faculty

Civil Engineering & Geosciences

Abstract

This study is an analysis of sand mining in the Vietnamese Mekong Delta (VMD) with the use of the optical satellite data set PlanetScope. This is done with a detection and classification model of sand mining vessels in the VMD. The classification model is based on machine-learning and it is trained with three classes: sand mining vessels, other vessels, and background. This study shows that it is possible to distinguish vessel types with a 3 metre spatial resolution and it shows great potential for a vessel classification model based on machine learning.