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

Applied to the Vietnamese Mekong Delta

Master Thesis (2023)
Author(s)

M.C. Eek (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

Kees Sloff – Mentor (TU Delft - Rivers, Ports, Waterways and Dredging Engineering)

A Blom – Graduation committee member (TU Delft - Rivers, Ports, Waterways and Dredging Engineering)

Stef Lhermitte – Graduation committee member (TU Delft - Mathematical Geodesy and Positioning)

S. Eslami – Graduation committee member (Deltares)

Antonio Moreno-Rodenas – Graduation committee member (Deltares)

Faculty
Civil Engineering & Geosciences
Copyright
© 2023 Majolie Eek
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Majolie Eek
Graduation Date
06-12-2023
Awarding Institution
Delft University of Technology
Programme
['Civil Engineering | Hydraulic Engineering']
Faculty
Civil Engineering & Geosciences
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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.

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