Benchmarking Different SfM-MVS Photogrammetric and iOS LiDAR Acquisition Methods for the Digital Preservation of a Short-Lived Excavation: A Case Study from an Area of Sinkhole Related Subsidence
We are witnessing a digital revolution in geoscientific field data collection and data sharing, driven by the availability of low-cost sensory platforms capable of generating accurate surface reconstructions as well as the proliferation of apps and repositories which can leverage their data products...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/20/5187 |
| _version_ | 1827648094083219456 |
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| author | Amerigo Corradetti Thomas Seers Marco Mercuri Chiara Calligaris Alice Busetti Luca Zini |
| author_facet | Amerigo Corradetti Thomas Seers Marco Mercuri Chiara Calligaris Alice Busetti Luca Zini |
| author_sort | Amerigo Corradetti |
| collection | DOAJ |
| description | We are witnessing a digital revolution in geoscientific field data collection and data sharing, driven by the availability of low-cost sensory platforms capable of generating accurate surface reconstructions as well as the proliferation of apps and repositories which can leverage their data products. Whilst the wider proliferation of 3D close-range remote sensing applications is welcome, improved accessibility is often at the expense of model accuracy. To test the accuracy of consumer-grade close-range 3D model acquisition platforms commonly employed for geo-documentation, we have mapped a 20-m-wide trench using aerial and terrestrial photogrammetry, as well as iOS LiDAR. The latter was used to map the trench using both the 3D Scanner App and PIX4Dcatch applications. Comparative analysis suggests that only in optimal scenarios can geotagged field-based photographs alone result in models with acceptable scaling errors, though even in these cases, the orientation of the transformed model is not sufficiently accurate for most geoscientific applications requiring structural metric data. The apps tested for iOS LiDAR acquisition were able to produce accurately scaled models, though surface deformations caused by simultaneous localization and mapping (SLAM) errors are present. Finally, of the tested apps, PIX4Dcatch is the iOS LiDAR acquisition tool able to produce correctly oriented models. |
| first_indexed | 2024-03-09T19:31:36Z |
| format | Article |
| id | doaj.art-55cd0719fac0401ca68688b603cc1afb |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T19:31:36Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-55cd0719fac0401ca68688b603cc1afb2023-11-24T02:20:51ZengMDPI AGRemote Sensing2072-42922022-10-011420518710.3390/rs14205187Benchmarking Different SfM-MVS Photogrammetric and iOS LiDAR Acquisition Methods for the Digital Preservation of a Short-Lived Excavation: A Case Study from an Area of Sinkhole Related SubsidenceAmerigo Corradetti0Thomas Seers1Marco Mercuri2Chiara Calligaris3Alice Busetti4Luca Zini5Dipartimento di Matematica e Geoscienze, University of Trieste, Via Weiss 2, 34128 Trieste, ItalyPetroleum Engineering Program, Texas A&M University at Qatar, Education City, Doha P.O. Box 23874, QatarDipartimento di Scienze Della Terra, Sapienza University of Rome, P.le Aldo Moro 5, 00185 Rome, ItalyDipartimento di Matematica e Geoscienze, University of Trieste, Via Weiss 2, 34128 Trieste, ItalyDipartimento di Matematica e Geoscienze, University of Trieste, Via Weiss 2, 34128 Trieste, ItalyDipartimento di Matematica e Geoscienze, University of Trieste, Via Weiss 2, 34128 Trieste, ItalyWe are witnessing a digital revolution in geoscientific field data collection and data sharing, driven by the availability of low-cost sensory platforms capable of generating accurate surface reconstructions as well as the proliferation of apps and repositories which can leverage their data products. Whilst the wider proliferation of 3D close-range remote sensing applications is welcome, improved accessibility is often at the expense of model accuracy. To test the accuracy of consumer-grade close-range 3D model acquisition platforms commonly employed for geo-documentation, we have mapped a 20-m-wide trench using aerial and terrestrial photogrammetry, as well as iOS LiDAR. The latter was used to map the trench using both the 3D Scanner App and PIX4Dcatch applications. Comparative analysis suggests that only in optimal scenarios can geotagged field-based photographs alone result in models with acceptable scaling errors, though even in these cases, the orientation of the transformed model is not sufficiently accurate for most geoscientific applications requiring structural metric data. The apps tested for iOS LiDAR acquisition were able to produce accurately scaled models, though surface deformations caused by simultaneous localization and mapping (SLAM) errors are present. Finally, of the tested apps, PIX4Dcatch is the iOS LiDAR acquisition tool able to produce correctly oriented models.https://www.mdpi.com/2072-4292/14/20/5187SfM-MVS photogrammetryiOS LiDARdigital transitionfieldworkgeo-documentationvirtual outcrop models |
| spellingShingle | Amerigo Corradetti Thomas Seers Marco Mercuri Chiara Calligaris Alice Busetti Luca Zini Benchmarking Different SfM-MVS Photogrammetric and iOS LiDAR Acquisition Methods for the Digital Preservation of a Short-Lived Excavation: A Case Study from an Area of Sinkhole Related Subsidence Remote Sensing SfM-MVS photogrammetry iOS LiDAR digital transition fieldwork geo-documentation virtual outcrop models |
| title | Benchmarking Different SfM-MVS Photogrammetric and iOS LiDAR Acquisition Methods for the Digital Preservation of a Short-Lived Excavation: A Case Study from an Area of Sinkhole Related Subsidence |
| title_full | Benchmarking Different SfM-MVS Photogrammetric and iOS LiDAR Acquisition Methods for the Digital Preservation of a Short-Lived Excavation: A Case Study from an Area of Sinkhole Related Subsidence |
| title_fullStr | Benchmarking Different SfM-MVS Photogrammetric and iOS LiDAR Acquisition Methods for the Digital Preservation of a Short-Lived Excavation: A Case Study from an Area of Sinkhole Related Subsidence |
| title_full_unstemmed | Benchmarking Different SfM-MVS Photogrammetric and iOS LiDAR Acquisition Methods for the Digital Preservation of a Short-Lived Excavation: A Case Study from an Area of Sinkhole Related Subsidence |
| title_short | Benchmarking Different SfM-MVS Photogrammetric and iOS LiDAR Acquisition Methods for the Digital Preservation of a Short-Lived Excavation: A Case Study from an Area of Sinkhole Related Subsidence |
| title_sort | benchmarking different sfm mvs photogrammetric and ios lidar acquisition methods for the digital preservation of a short lived excavation a case study from an area of sinkhole related subsidence |
| topic | SfM-MVS photogrammetry iOS LiDAR digital transition fieldwork geo-documentation virtual outcrop models |
| url | https://www.mdpi.com/2072-4292/14/20/5187 |
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