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Monitoring Volcanic and Tectonic Sandbox Analogue Models Using the Kinect v2 Sensor

dc.contributor.authorRincón, Marta
dc.contributor.authorMárquez González, Álvaro
dc.contributor.authorHerrera, Raquel
dc.contributor.authorGalland, O.
dc.contributor.authorSánchez Oro, J.
dc.contributor.authorConcha, D.
dc.contributor.authorMontemayor, A. S.
dc.date.accessioned2023-06-22T10:51:29Z
dc.date.available2023-06-22T10:51:29Z
dc.date.issued2022-06
dc.description.abstractThe measurement of surface deformation in analogue models of volcanic and tectonic processes is an area in continuous development. Properly quantifying topography change in analogue models is key for a useful comparison between experiment results and nature. The aim of this work is to evaluate the capabilities of the simple and cheap Microsoft® Kinect v2 sensor for monitoring analogue models made of granular materials. Microsoft® Kinect v2 is a video-gaming RedGreenBlue-Depth device combining an optical camera and an infrared distance measurement sensor. The precision of the device for model topography measurements has been quantified using 64 experiments, with variable granular materials materials and distance to the model. Additionally, we tested the capabilities of averaging several distance images to increase the precision. We have developed a specific software to facilitate the acquisition and processing of the Kinect v2 data in experiment monitoring. Our results show that measurement precision is material dependent: with clear-colored and fine-grained materials, a precision ∼1.0 mm for digital elevation models with a 1.6 mm pixel size can be obtained. We show that by averaging ≥5 consecutive images the distance precision can reach values as low as 0.5 mm. To show the Kinect v2 capabilities, we present monitoring results from case study experiments modeling tectonics and volcano deformation. The Kinect v2 achieves lower spatial resolutions and precision than more sophisticated techniques such as photogrammetry. However, Kinect v2 provides a cheap, straightforward and powerful tool for monitoring the topography changes in sandbox analogue models.
dc.description.departmentDepto. de Mineralogía y Petrología
dc.description.facultyFac. de Ciencias Geológicas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia e Innovación (MICINN)
dc.description.sponsorshipComunidad de Madrid
dc.description.sponsorshipUniversidad Rey Juan Carlos
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/73553
dc.identifier.doi10.1029/2020EA001368
dc.identifier.issn2333-5084
dc.identifier.officialurlhttps://doi.org/10.1029/2020EA001368
dc.identifier.urihttps://hdl.handle.net/20.500.14352/71792
dc.issue.number6
dc.journal.titleEarth and Space Science
dc.language.isoeng
dc.publisherAmerican Geophysical Union
dc.relation.projectIDCGL2010-19388; CGL2014-58821-C2-1R-BTE; RTI2018-098743-B-I00
dc.relation.projectIDY2018/EMT-5062
dc.relation.projectIDCVIP_2016
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.cdu551.24.02
dc.subject.ucmGeodinámica
dc.subject.unesco2507 Geofísica
dc.titleMonitoring Volcanic and Tectonic Sandbox Analogue Models Using the Kinect v2 Sensor
dc.typejournal article
dc.volume.number9
dspace.entity.typePublication
relation.isAuthorOfPublicationfbc49f0a-e720-4bf6-ad1c-b953fea05670
relation.isAuthorOfPublication.latestForDiscoveryfbc49f0a-e720-4bf6-ad1c-b953fea05670

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