SENSOR- AND SCENE-GUIDED INTEGRATION OF TLS AND PHOTOGRAMMETRIC POINT CLOUDS FOR LANDSLIDE MONITORING
Terrestrial and airborne 3D imaging sensors are well-suited data acquisition systems for the area-wide monitoring of landslide activity. State-of-the-art surveying techniques, such as terrestrial laser scanning (TLS) and photogrammetry based on unmanned aerial vehicle (UAV) imagery or terrestrial ac...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-05-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/1243/2018/isprs-archives-XLII-2-1243-2018.pdf |
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| author | T. Zieher I. Toschi F. Remondino M. Rutzinger Ch. Kofler A. Mejia-Aguilar R. Schlögel R. Schlögel |
| author_facet | T. Zieher I. Toschi F. Remondino M. Rutzinger Ch. Kofler A. Mejia-Aguilar R. Schlögel R. Schlögel |
| author_sort | T. Zieher |
| collection | DOAJ |
| description | Terrestrial and airborne 3D imaging sensors are well-suited data acquisition systems for the area-wide monitoring of landslide activity. State-of-the-art surveying techniques, such as terrestrial laser scanning (TLS) and photogrammetry based on unmanned aerial vehicle (UAV) imagery or terrestrial acquisitions have advantages and limitations associated with their individual measurement principles. In this study we present an integration approach for 3D point clouds derived from these techniques, aiming at improving the topographic representation of landslide features while enabling a more accurate assessment of landslide-induced changes. Four expert-based rules involving local morphometric features computed from eigenvectors, elevation and the agreement of the individual point clouds, are used to choose within voxels of selectable size which sensor’s data to keep. Based on the integrated point clouds, digital surface models and shaded reliefs are computed. Using an image correlation technique, displacement vectors are finally derived from the multi-temporal shaded reliefs. All results show comparable patterns of landslide movement rates and directions. However, depending on the applied integration rule, differences in spatial coverage and correlation strength emerge. |
| first_indexed | 2024-12-10T15:57:33Z |
| format | Article |
| id | doaj.art-d78a8815f93249bdb1610b35dcca10e8 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-10T15:57:33Z |
| publishDate | 2018-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-d78a8815f93249bdb1610b35dcca10e82022-12-22T01:42:35ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-05-01XLII-21243125010.5194/isprs-archives-XLII-2-1243-2018SENSOR- AND SCENE-GUIDED INTEGRATION OF TLS AND PHOTOGRAMMETRIC POINT CLOUDS FOR LANDSLIDE MONITORINGT. Zieher0I. Toschi1F. Remondino2M. Rutzinger3Ch. Kofler4A. Mejia-Aguilar5R. Schlögel6R. Schlögel7Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Technikerstr. 21a, 6020 Innsbruck, Austria3D Optical Metrology (3DOM) Unit – Bruno Kessler Foundation (FBK), Via Sommarive 18, 38123 Trento, Italy3D Optical Metrology (3DOM) Unit – Bruno Kessler Foundation (FBK), Via Sommarive 18, 38123 Trento, ItalyInstitute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Technikerstr. 21a, 6020 Innsbruck, AustriaInstitute for Earth Observation, Eurac Research, Viale Druso 1, 39100 Bolzano, ItalyInstitute for Earth Observation, Eurac Research, Viale Druso 1, 39100 Bolzano, ItalyInstitute for Earth Observation, Eurac Research, Viale Druso 1, 39100 Bolzano, ItalyESA Climate Office, ECSAT, Fermi Avenue, Harwell Campus, Didcot, Oxfordshire, OX11 0FD, UKTerrestrial and airborne 3D imaging sensors are well-suited data acquisition systems for the area-wide monitoring of landslide activity. State-of-the-art surveying techniques, such as terrestrial laser scanning (TLS) and photogrammetry based on unmanned aerial vehicle (UAV) imagery or terrestrial acquisitions have advantages and limitations associated with their individual measurement principles. In this study we present an integration approach for 3D point clouds derived from these techniques, aiming at improving the topographic representation of landslide features while enabling a more accurate assessment of landslide-induced changes. Four expert-based rules involving local morphometric features computed from eigenvectors, elevation and the agreement of the individual point clouds, are used to choose within voxels of selectable size which sensor’s data to keep. Based on the integrated point clouds, digital surface models and shaded reliefs are computed. Using an image correlation technique, displacement vectors are finally derived from the multi-temporal shaded reliefs. All results show comparable patterns of landslide movement rates and directions. However, depending on the applied integration rule, differences in spatial coverage and correlation strength emerge.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/1243/2018/isprs-archives-XLII-2-1243-2018.pdf |
| spellingShingle | T. Zieher I. Toschi F. Remondino M. Rutzinger Ch. Kofler A. Mejia-Aguilar R. Schlögel R. Schlögel SENSOR- AND SCENE-GUIDED INTEGRATION OF TLS AND PHOTOGRAMMETRIC POINT CLOUDS FOR LANDSLIDE MONITORING The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | SENSOR- AND SCENE-GUIDED INTEGRATION OF TLS AND PHOTOGRAMMETRIC POINT CLOUDS FOR LANDSLIDE MONITORING |
| title_full | SENSOR- AND SCENE-GUIDED INTEGRATION OF TLS AND PHOTOGRAMMETRIC POINT CLOUDS FOR LANDSLIDE MONITORING |
| title_fullStr | SENSOR- AND SCENE-GUIDED INTEGRATION OF TLS AND PHOTOGRAMMETRIC POINT CLOUDS FOR LANDSLIDE MONITORING |
| title_full_unstemmed | SENSOR- AND SCENE-GUIDED INTEGRATION OF TLS AND PHOTOGRAMMETRIC POINT CLOUDS FOR LANDSLIDE MONITORING |
| title_short | SENSOR- AND SCENE-GUIDED INTEGRATION OF TLS AND PHOTOGRAMMETRIC POINT CLOUDS FOR LANDSLIDE MONITORING |
| title_sort | sensor and scene guided integration of tls and photogrammetric point clouds for landslide monitoring |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/1243/2018/isprs-archives-XLII-2-1243-2018.pdf |
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