Analysis of sand mining in a mega-delta using satellite image processing
Applied to the Vietnamese Mekong Delta
M.C. Eek (TU Delft - Civil Engineering & Geosciences)
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)
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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.