Skip to content

Measurement of three dimensional volcanic plume properties using multiple ground based infrared cameras

Research output: Contribution to journalArticle

Standard

Measurement of three dimensional volcanic plume properties using multiple ground based infrared cameras. / Wood, Kieran; Thomas, Helen; Watson, Matthew; Calway, Andrew; Richardson, Tom; Stebel, Kerstin; Naismith, Ailsa; Berthoud, Lucy; Lucas, Josh.

In: ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 154, 01.08.2019, p. 163-175.

Research output: Contribution to journalArticle

Harvard

APA

Vancouver

Author

Bibtex

@article{ef1087dc760640ec8b11caad9575a661,
title = "Measurement of three dimensional volcanic plume properties using multiple ground based infrared cameras",
abstract = "This study presents a method and a proof of principle system for the direct measurement of volcanic plume 3-D spatial properties. The shape of a plume is reconstructed in three dimensions using multi-view imagery collected from static ground-based cameras. The method was developed using data collected during an expedition to Volc{\'a}n de Fuego in Guatemala, where four thermal infrared cameras were deployed to capture simultaneous images of the regular ash-rich eruptions. A space carving method was applied to the problem to estimate the volume of the plume at any moment in time. By successively applying the method to sequential sets of images, other quantitative measurements such as the drift direction, ascent rate, and dispersion rate can be deduced. The complete method work-flow is presented including data capture, calibration processes, image processing, the space-carving method, and practical implementation issues. The method is sensitive to the camera alignment, hence a novel technique for estimating the camera orientation angles, making use if a high-accuracy terrain model, is described. Other sources of error relating to the number, synchronisation and resolution of the cameras are also discussed. Preliminary results are presented using data collected at Volc{\'a}n de Fuego in November 2017 over a period of 1.25 h including three distinct eruptions.",
keywords = "3D reconstruction, VolcanoPlume, Computer vision, Space carving, Thermal, Volcano, Plume",
author = "Kieran Wood and Helen Thomas and Matthew Watson and Andrew Calway and Tom Richardson and Kerstin Stebel and Ailsa Naismith and Lucy Berthoud and Josh Lucas",
year = "2019",
month = "8",
day = "1",
doi = "10.1016/j.isprsjprs.2019.06.002",
language = "English",
volume = "154",
pages = "163--175",
journal = "ISPRS Journal of Photogrammetry and Remote Sensing",
issn = "0924-2716",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Measurement of three dimensional volcanic plume properties using multiple ground based infrared cameras

AU - Wood, Kieran

AU - Thomas, Helen

AU - Watson, Matthew

AU - Calway, Andrew

AU - Richardson, Tom

AU - Stebel, Kerstin

AU - Naismith, Ailsa

AU - Berthoud, Lucy

AU - Lucas, Josh

PY - 2019/8/1

Y1 - 2019/8/1

N2 - This study presents a method and a proof of principle system for the direct measurement of volcanic plume 3-D spatial properties. The shape of a plume is reconstructed in three dimensions using multi-view imagery collected from static ground-based cameras. The method was developed using data collected during an expedition to Volcán de Fuego in Guatemala, where four thermal infrared cameras were deployed to capture simultaneous images of the regular ash-rich eruptions. A space carving method was applied to the problem to estimate the volume of the plume at any moment in time. By successively applying the method to sequential sets of images, other quantitative measurements such as the drift direction, ascent rate, and dispersion rate can be deduced. The complete method work-flow is presented including data capture, calibration processes, image processing, the space-carving method, and practical implementation issues. The method is sensitive to the camera alignment, hence a novel technique for estimating the camera orientation angles, making use if a high-accuracy terrain model, is described. Other sources of error relating to the number, synchronisation and resolution of the cameras are also discussed. Preliminary results are presented using data collected at Volcán de Fuego in November 2017 over a period of 1.25 h including three distinct eruptions.

AB - This study presents a method and a proof of principle system for the direct measurement of volcanic plume 3-D spatial properties. The shape of a plume is reconstructed in three dimensions using multi-view imagery collected from static ground-based cameras. The method was developed using data collected during an expedition to Volcán de Fuego in Guatemala, where four thermal infrared cameras were deployed to capture simultaneous images of the regular ash-rich eruptions. A space carving method was applied to the problem to estimate the volume of the plume at any moment in time. By successively applying the method to sequential sets of images, other quantitative measurements such as the drift direction, ascent rate, and dispersion rate can be deduced. The complete method work-flow is presented including data capture, calibration processes, image processing, the space-carving method, and practical implementation issues. The method is sensitive to the camera alignment, hence a novel technique for estimating the camera orientation angles, making use if a high-accuracy terrain model, is described. Other sources of error relating to the number, synchronisation and resolution of the cameras are also discussed. Preliminary results are presented using data collected at Volcán de Fuego in November 2017 over a period of 1.25 h including three distinct eruptions.

KW - 3D reconstruction

KW - VolcanoPlume

KW - Computer vision

KW - Space carving

KW - Thermal

KW - Volcano

KW - Plume

UR - http://www.scopus.com/inward/record.url?scp=85067263336&partnerID=8YFLogxK

U2 - 10.1016/j.isprsjprs.2019.06.002

DO - 10.1016/j.isprsjprs.2019.06.002

M3 - Article

VL - 154

SP - 163

EP - 175

JO - ISPRS Journal of Photogrammetry and Remote Sensing

JF - ISPRS Journal of Photogrammetry and Remote Sensing

SN - 0924-2716

ER -