Validation of dry bulk pile volume estimation algorithm based on angle of repose using experimental images

Estimation of volume of piles in shipping ports plays a pivotal role for logistics management, facilitates better ship rescheduling and rerouting for economic benefits and contributes to overall efficient shipping management. This paper presents validation results for a volume estimation algorithm for dry bulk cargo piles stored in open ports. Using remote sensing images obtained in a laboratory setting, the method first detects the contour of the pile and then reconstructs its 3D model based on the material’s angle of repose, and estimates the volume accordingly. We validated the algorithm on full conical piles and single-ridge elongated piles, and further tested it on reclaimed conical and elongated piles. The results demonstrated the algorithm’s strong potential for accurately estimating pile volume from experimental images and a reference satellite image, achieving high accuracy in our validation.

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Publication Details

Journal
Results in Earth Sciences
Published
2025-11-05
DOI
https://doi.org/10.1016/j.rines.2025.100137
Primary Topic
Ship Hydrodynamics and Maneuverability
Type
article
Field-Weighted Citation Impact
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article

Validation of dry bulk pile volume estimation algorithm based on angle of repose using experimental images

Ashenafi Zebene Woldaregay, Pål Gunnar Ellingsen, Madhu Koirala
Results in Earth Sciences
Ship Hydrodynamics and Maneuverability
article

Validation of dry bulk pile volume estimation algorithm based on angle of repose using experimental images

Ashenafi Zebene Woldaregay, Pål Gunnar Ellingsen, Madhu Koirala
article en

Abstract

Estimation of volume of piles in shipping ports plays a pivotal role for logistics management, facilitates better ship rescheduling and rerouting for economic benefits and contributes to overall efficient shipping management. This paper presents validation results for a volume estimation algorithm for dry bulk cargo piles stored in open ports. Using remote sensing images obtained in a laboratory setting, the method first detects the contour of the pile and then reconstructs its 3D model based on the material’s angle of repose, and estimates the volume accordingly. We validated the algorithm on full conical piles and single-ridge elongated piles, and further tested it on reclaimed conical and elongated piles. The results demonstrated the algorithm’s strong potential for accurately estimating pile volume from experimental images and a reference satellite image, achieving high accuracy in our validation.

Results in Earth SciencesVol. 3
Martina Hansens Hospital (NO), UiT The Arctic University of Norway (NO)
Openalex Percentile: Top 59%
Ship Hydrodynamics and Maneuverability
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