Determining the three-dimensional structure of a volcanic plume using Unoccupied Aerial System (UAS) imagery

Kieran Wood, Aboud Albadra, Lucy Berthoud, Andrew Calway, Matthew Watson, Helen Thomas, Thomas Richardson, Emma Liu, Gustavo Chigna

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)
2 Downloads (Pure)

Abstract

This study presents a photogrammetric method for 3D reconstruction of a volcanic plume outline to retrieve its spatial properties. A dataset of sequential multi-view images was collected, using a drone-mounted camera, for a small-scale volcanic plume emitted from Volcán Pacaya, Guatemala. A ‘Space Carving’ algorithm has been applied to estimate the plume shape, top height, volume and drift direction. The complete method workflow is presented herein, including data capture, camera projection, image segmentation, and model reconstruction. The process applied is considered the simplest approach to reconstruct a 3D plume model from sequential imagery, whilst accounting for scene evolution within a probabilistic framework. The algorithm is sensitive to the method of image segmentation, scene resolution and number of images used, with unquantifiable uncertainty in the estimated plume volume due to the lack of ground-truth data. This proof-of-concept investigation confirms that 3D quantification of volcanic plume geometry can be achieved using UAS-based photogrammetry and shows promising results for a new method of measuring volcanic source parameters to validate and adjust dispersion models of volcanic plumes.
Original languageEnglish
Article number106731
JournalJournal of Volcanology and Geothermal Research
Early online date16 Nov 2019
DOIs
Publication statusE-pub ahead of print - 16 Nov 2019

Keywords

  • 3D image reconstruction
  • volcanic plume
  • space carving
  • UAS-based photogrammetry
  • source parameters

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