Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner
Laser measurements have been used in a fluvial context since 1984, but the change detection possibilities of mobile laser scanning (MLS) for riverine topography have been lacking. This paper demonstrates the capability of MLS in erosion change mapping on a test site located in a 58 km-long tributary...
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Molecular Diversity Preservation International
2011
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ftmdpi:oai:mdpi.com:/2072-4292/3/3/587/ 2023-08-20T04:04:41+02:00 Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner Matti Vaaja Juha Hyyppä Antero Kukko Harri Kaartinen Hannu Hyyppä Petteri Alho agris 2011-03-17 application/pdf https://doi.org/10.3390/rs3030587 EN eng Molecular Diversity Preservation International https://dx.doi.org/10.3390/rs3030587 https://creativecommons.org/licenses/by/3.0/ Remote Sensing; Volume 3; Issue 3; Pages: 587-600 mobile laser scanning topography change mapping erosion DEM filtering Text 2011 ftmdpi https://doi.org/10.3390/rs3030587 2023-07-31T20:26:13Z Laser measurements have been used in a fluvial context since 1984, but the change detection possibilities of mobile laser scanning (MLS) for riverine topography have been lacking. This paper demonstrates the capability of MLS in erosion change mapping on a test site located in a 58 km-long tributary of the River Tenojoki (Tana) in the sub-arctic. We used point bars and river banks as example cases, which were measured with the mobile laser scanner ROAMER mounted on a boat and on a cart. Static terrestrial laser scanner data were used as reference and we exploited a difference elevation model technique for describing erosion and deposition areas. The measurements were based on data acquisitions during the late summer in 2008 and 2009. The coefficient of determination (R2) of 0.93 and a standard deviation of error 3.4 cm were obtained as metrics for change mapping based on MLS. The root mean square error (RMSE) of MLS‑based digital elevation models (DEM) for non-vegetated point bars ranged between 2.3 and 7.6 cm after correction of the systematic error. For densely vegetated bank areas, the ground point determination was more difficult resulting in an RMSE between 15.7 and 28.4 cm. Text Arctic MDPI Open Access Publishing Arctic Remote Sensing 3 3 587 600 |
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MDPI Open Access Publishing |
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language |
English |
topic |
mobile laser scanning topography change mapping erosion DEM filtering |
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mobile laser scanning topography change mapping erosion DEM filtering Matti Vaaja Juha Hyyppä Antero Kukko Harri Kaartinen Hannu Hyyppä Petteri Alho Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner |
topic_facet |
mobile laser scanning topography change mapping erosion DEM filtering |
description |
Laser measurements have been used in a fluvial context since 1984, but the change detection possibilities of mobile laser scanning (MLS) for riverine topography have been lacking. This paper demonstrates the capability of MLS in erosion change mapping on a test site located in a 58 km-long tributary of the River Tenojoki (Tana) in the sub-arctic. We used point bars and river banks as example cases, which were measured with the mobile laser scanner ROAMER mounted on a boat and on a cart. Static terrestrial laser scanner data were used as reference and we exploited a difference elevation model technique for describing erosion and deposition areas. The measurements were based on data acquisitions during the late summer in 2008 and 2009. The coefficient of determination (R2) of 0.93 and a standard deviation of error 3.4 cm were obtained as metrics for change mapping based on MLS. The root mean square error (RMSE) of MLS‑based digital elevation models (DEM) for non-vegetated point bars ranged between 2.3 and 7.6 cm after correction of the systematic error. For densely vegetated bank areas, the ground point determination was more difficult resulting in an RMSE between 15.7 and 28.4 cm. |
format |
Text |
author |
Matti Vaaja Juha Hyyppä Antero Kukko Harri Kaartinen Hannu Hyyppä Petteri Alho |
author_facet |
Matti Vaaja Juha Hyyppä Antero Kukko Harri Kaartinen Hannu Hyyppä Petteri Alho |
author_sort |
Matti Vaaja |
title |
Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner |
title_short |
Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner |
title_full |
Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner |
title_fullStr |
Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner |
title_full_unstemmed |
Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner |
title_sort |
mapping topography changes and elevation accuracies using a mobile laser scanner |
publisher |
Molecular Diversity Preservation International |
publishDate |
2011 |
url |
https://doi.org/10.3390/rs3030587 |
op_coverage |
agris |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Remote Sensing; Volume 3; Issue 3; Pages: 587-600 |
op_relation |
https://dx.doi.org/10.3390/rs3030587 |
op_rights |
https://creativecommons.org/licenses/by/3.0/ |
op_doi |
https://doi.org/10.3390/rs3030587 |
container_title |
Remote Sensing |
container_volume |
3 |
container_issue |
3 |
container_start_page |
587 |
op_container_end_page |
600 |
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1774715062894723072 |