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

Analysis of sand mining in a mega-delta using satellite image processing: Applied to the Vietnamese Mekong Delta

Eek, Majolie (TU Delft Civil Engineering & Geosciences)

Sloff, C.J. (mentor)
Blom, A. (graduation committee)
Lhermitte, S.L.M. (graduation committee)
Eslami, S. (graduation committee)
Moreno-Rodenas, A. (graduation committee)

Delft University of Technology

Civil Engineering | Hydraulic Engineering

2023-12-06

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.

sand mining
Vietnamese Mekong Delta
Machine learning
PlanetScope

http://resolver.tudelft.nl/uuid:1ab8a6dd-6845-4868-869c-f36c02f47b62

Student theses

master thesis

© 2023 Majolie Eek