Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography
Accurate terrain models are a crucial component of studies of river channel evolution. In this paper we describe a new methodology for creating high-resolution seamless digital terrain models (DTM) of river channels and their floodplains. We combine mobile laser scanning and low-altitude unmanned ae...
Published in: | Remote Sensing |
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Main Authors: | , , , , , , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2013
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Subjects: | |
Online Access: | https://doi.org/10.3390/rs5126382 |
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author | Claude Flener Matti Vaaja Anttoni Jaakkola Anssi Krooks Harri Kaartinen Antero Kukko Elina Kasvi Hannu Hyyppä Juha Hyyppä Petteri Alho |
author_facet | Claude Flener Matti Vaaja Anttoni Jaakkola Anssi Krooks Harri Kaartinen Antero Kukko Elina Kasvi Hannu Hyyppä Juha Hyyppä Petteri Alho |
author_sort | Claude Flener |
collection | MDPI Open Access Publishing |
container_issue | 12 |
container_start_page | 6382 |
container_title | Remote Sensing |
container_volume | 5 |
description | Accurate terrain models are a crucial component of studies of river channel evolution. In this paper we describe a new methodology for creating high-resolution seamless digital terrain models (DTM) of river channels and their floodplains. We combine mobile laser scanning and low-altitude unmanned aerial vehicle (UAV) photography-based methods for creating both a digital bathymetric model of the inundated river channel and a DTM of a point bar of a meandering sub-arctic river. We evaluate mobile laser scanning and UAV-based photogrammetry point clouds against terrestrial laser scanning and combine these data with an optical bathymetric model to create a seamless DTM of two different measurement periods. Using this multi-temporal seamless data, we calculate a DTM of difference that allows a change detection of the meander bend over a one-year period. |
format | Text |
genre | Arctic |
genre_facet | Arctic |
geographic | Arctic Photogrammetry Point |
geographic_facet | Arctic Photogrammetry Point |
id | ftmdpi:oai:mdpi.com:/2072-4292/5/12/6382/ |
institution | Open Polar |
language | English |
long_lat | ENVELOPE(-58.467,-58.467,-62.500,-62.500) |
op_collection_id | ftmdpi |
op_container_end_page | 6407 |
op_coverage | agris |
op_doi | https://doi.org/10.3390/rs5126382 |
op_relation | https://dx.doi.org/10.3390/rs5126382 |
op_rights | https://creativecommons.org/licenses/by/3.0/ |
op_source | Remote Sensing; Volume 5; Issue 12; Pages: 6382-6407 |
publishDate | 2013 |
publisher | Multidisciplinary Digital Publishing Institute |
record_format | openpolar |
spelling | ftmdpi:oai:mdpi.com:/2072-4292/5/12/6382/ 2025-01-16T20:34:42+00:00 Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography Claude Flener Matti Vaaja Anttoni Jaakkola Anssi Krooks Harri Kaartinen Antero Kukko Elina Kasvi Hannu Hyyppä Juha Hyyppä Petteri Alho agris 2013-11-27 application/pdf https://doi.org/10.3390/rs5126382 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs5126382 https://creativecommons.org/licenses/by/3.0/ Remote Sensing; Volume 5; Issue 12; Pages: 6382-6407 UAV mobile laser scanning LiDAR photogrammetry optical bathymetry seamless DTM DTM elevation river Finland Text 2013 ftmdpi https://doi.org/10.3390/rs5126382 2023-07-31T20:34:55Z Accurate terrain models are a crucial component of studies of river channel evolution. In this paper we describe a new methodology for creating high-resolution seamless digital terrain models (DTM) of river channels and their floodplains. We combine mobile laser scanning and low-altitude unmanned aerial vehicle (UAV) photography-based methods for creating both a digital bathymetric model of the inundated river channel and a DTM of a point bar of a meandering sub-arctic river. We evaluate mobile laser scanning and UAV-based photogrammetry point clouds against terrestrial laser scanning and combine these data with an optical bathymetric model to create a seamless DTM of two different measurement periods. Using this multi-temporal seamless data, we calculate a DTM of difference that allows a change detection of the meander bend over a one-year period. Text Arctic MDPI Open Access Publishing Arctic Photogrammetry Point ENVELOPE(-58.467,-58.467,-62.500,-62.500) Remote Sensing 5 12 6382 6407 |
spellingShingle | UAV mobile laser scanning LiDAR photogrammetry optical bathymetry seamless DTM DTM elevation river Finland Claude Flener Matti Vaaja Anttoni Jaakkola Anssi Krooks Harri Kaartinen Antero Kukko Elina Kasvi Hannu Hyyppä Juha Hyyppä Petteri Alho Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography |
title | Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography |
title_full | Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography |
title_fullStr | Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography |
title_full_unstemmed | Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography |
title_short | Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography |
title_sort | seamless mapping of river channels at high resolution using mobile lidar and uav-photography |
topic | UAV mobile laser scanning LiDAR photogrammetry optical bathymetry seamless DTM DTM elevation river Finland |
topic_facet | UAV mobile laser scanning LiDAR photogrammetry optical bathymetry seamless DTM DTM elevation river Finland |
url | https://doi.org/10.3390/rs5126382 |