MODELLING PERMAFROST TERRAIN USING KINEMATIC, DUAL-WAVELENGTH LASER SCANNING
In this paper we introduce the first dual-wavelength, kinematic backpack laser scanning system and its application on high resolution 3D terrain modelling of permafrost landforms. We discuss the data processing pipeline from acquisition to preparation, system calibration and terrain model process. T...
Published in: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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Copernicus Publications
2020
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Online Access: | https://doi.org/10.5194/isprs-annals-V-2-2020-749-2020 https://noa.gwlb.de/receive/cop_mods_00053684 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00053337/isprs-annals-V-2-2020-749-2020.pdf https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/749/2020/isprs-annals-V-2-2020-749-2020.pdf |
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00053684 2023-05-15T15:15:56+02:00 MODELLING PERMAFROST TERRAIN USING KINEMATIC, DUAL-WAVELENGTH LASER SCANNING Kukko, A. Kaartinen, H. Osinski, G. Hyyppä, J. 2020-08 electronic https://doi.org/10.5194/isprs-annals-V-2-2020-749-2020 https://noa.gwlb.de/receive/cop_mods_00053684 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00053337/isprs-annals-V-2-2020-749-2020.pdf https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/749/2020/isprs-annals-V-2-2020-749-2020.pdf eng eng Copernicus Publications ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences -- ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences -- http://www.isprs.org/publications/annals.aspx -- 2194-9050 https://doi.org/10.5194/isprs-annals-V-2-2020-749-2020 https://noa.gwlb.de/receive/cop_mods_00053684 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00053337/isprs-annals-V-2-2020-749-2020.pdf https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/749/2020/isprs-annals-V-2-2020-749-2020.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2020 ftnonlinearchiv https://doi.org/10.5194/isprs-annals-V-2-2020-749-2020 2022-02-08T22:35:22Z In this paper we introduce the first dual-wavelength, kinematic backpack laser scanning system and its application on high resolution 3D terrain modelling of permafrost landforms. We discuss the data processing pipeline from acquisition to preparation, system calibration and terrain model process. Topographic information is vital for planning and monitoring tasks in urban planning, road construction for mass calculations, and mitigation of flood and wind related risks by structural design in coastal areas. 3D data gives possibility to understand natural processes inducing changes in the terrain, such as the cycles of thaw-freeze in permafrost regions. Through an application case on permafrost landforms in the Arctic we present the field practices and data processing applied, characterize the data output and discuss the precision and accuracy of the base station, trajectory and point cloud data. Two pulsed time of flight ranging, high performance mobile laser scanners were used in combination with a near navigation grade GNSS-IMU positioning on a kinematic backpack platform. The study shows that with a high-end system 15 mm absolute accuracy of 3D data could be achieved using PPP processing for the GNSS base station and multi-pass differential trajectory post-processing. The PPP solution shows millimetre level agreement (Easting 6 mm, Northing 4 mm, and elevation 8 mm standard deviations) for the base station coordinates over an 11 day period. The point cloud residual standard deviation for angular boresight misalignment was 27 mm. The absolute distance between ground surfaces from interactive analysis was 17 mm with 13 mm standard deviation (n = 64). The proposed backpack laser scanning provides accurate and precise 3D data and performance over considerable land surface area for detailed elevation modelling and analysis of the morphology of features of interest. The high density point cloud data permits fusion of the dual-wavelength lidar reflectance data into spectral products. Article in Journal/Newspaper Arctic permafrost Niedersächsisches Online-Archiv NOA Arctic ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 749 756 |
institution |
Open Polar |
collection |
Niedersächsisches Online-Archiv NOA |
op_collection_id |
ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Kukko, A. Kaartinen, H. Osinski, G. Hyyppä, J. MODELLING PERMAFROST TERRAIN USING KINEMATIC, DUAL-WAVELENGTH LASER SCANNING |
topic_facet |
article Verlagsveröffentlichung |
description |
In this paper we introduce the first dual-wavelength, kinematic backpack laser scanning system and its application on high resolution 3D terrain modelling of permafrost landforms. We discuss the data processing pipeline from acquisition to preparation, system calibration and terrain model process. Topographic information is vital for planning and monitoring tasks in urban planning, road construction for mass calculations, and mitigation of flood and wind related risks by structural design in coastal areas. 3D data gives possibility to understand natural processes inducing changes in the terrain, such as the cycles of thaw-freeze in permafrost regions. Through an application case on permafrost landforms in the Arctic we present the field practices and data processing applied, characterize the data output and discuss the precision and accuracy of the base station, trajectory and point cloud data. Two pulsed time of flight ranging, high performance mobile laser scanners were used in combination with a near navigation grade GNSS-IMU positioning on a kinematic backpack platform. The study shows that with a high-end system 15 mm absolute accuracy of 3D data could be achieved using PPP processing for the GNSS base station and multi-pass differential trajectory post-processing. The PPP solution shows millimetre level agreement (Easting 6 mm, Northing 4 mm, and elevation 8 mm standard deviations) for the base station coordinates over an 11 day period. The point cloud residual standard deviation for angular boresight misalignment was 27 mm. The absolute distance between ground surfaces from interactive analysis was 17 mm with 13 mm standard deviation (n = 64). The proposed backpack laser scanning provides accurate and precise 3D data and performance over considerable land surface area for detailed elevation modelling and analysis of the morphology of features of interest. The high density point cloud data permits fusion of the dual-wavelength lidar reflectance data into spectral products. |
format |
Article in Journal/Newspaper |
author |
Kukko, A. Kaartinen, H. Osinski, G. Hyyppä, J. |
author_facet |
Kukko, A. Kaartinen, H. Osinski, G. Hyyppä, J. |
author_sort |
Kukko, A. |
title |
MODELLING PERMAFROST TERRAIN USING KINEMATIC, DUAL-WAVELENGTH LASER SCANNING |
title_short |
MODELLING PERMAFROST TERRAIN USING KINEMATIC, DUAL-WAVELENGTH LASER SCANNING |
title_full |
MODELLING PERMAFROST TERRAIN USING KINEMATIC, DUAL-WAVELENGTH LASER SCANNING |
title_fullStr |
MODELLING PERMAFROST TERRAIN USING KINEMATIC, DUAL-WAVELENGTH LASER SCANNING |
title_full_unstemmed |
MODELLING PERMAFROST TERRAIN USING KINEMATIC, DUAL-WAVELENGTH LASER SCANNING |
title_sort |
modelling permafrost terrain using kinematic, dual-wavelength laser scanning |
publisher |
Copernicus Publications |
publishDate |
2020 |
url |
https://doi.org/10.5194/isprs-annals-V-2-2020-749-2020 https://noa.gwlb.de/receive/cop_mods_00053684 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00053337/isprs-annals-V-2-2020-749-2020.pdf https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/749/2020/isprs-annals-V-2-2020-749-2020.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic permafrost |
genre_facet |
Arctic permafrost |
op_relation |
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences -- ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences -- http://www.isprs.org/publications/annals.aspx -- 2194-9050 https://doi.org/10.5194/isprs-annals-V-2-2020-749-2020 https://noa.gwlb.de/receive/cop_mods_00053684 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00053337/isprs-annals-V-2-2020-749-2020.pdf https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/749/2020/isprs-annals-V-2-2020-749-2020.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/isprs-annals-V-2-2020-749-2020 |
container_title |
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
V-2-2020 |
container_start_page |
749 |
op_container_end_page |
756 |
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1766346263330029568 |