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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Published in:Remote Sensing
Main Authors: Matti Vaaja, Juha Hyyppä, Antero Kukko, Harri Kaartinen, Hannu Hyyppä, Petteri Alho
Format: Text
Language:English
Published: Molecular Diversity Preservation International 2011
Subjects:
DEM
Online Access:https://doi.org/10.3390/rs3030587
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spelling 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
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic mobile laser scanning
topography
change mapping
erosion
DEM
filtering
spellingShingle 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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