Mapping river bathymetries: Evaluating topobathymetric LiDAR survey

Advances in topobathymetric LiDARs could enable rapid surveys at sub‐meter resolution over entire stream networks. This is the first step to improving our knowledge of riverine systems, both their morphology and role in ecosystems. The Experimental Advanced Airborne Research LiDAR B (EAARL‐B) system...

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Veröffentlicht in:Earth surface processes and landforms 2019-02, Vol.44 (2), p.507-520
Hauptverfasser: Tonina, Daniele, McKean, James A., Benjankar, Rohan M., Wright, C. Wayne, Goode, Jaime R., Chen, Qiuwen, Reeder, William J., Carmichael, Richard A., Edmondson, Michael R.
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container_issue 2
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container_title Earth surface processes and landforms
container_volume 44
creator Tonina, Daniele
McKean, James A.
Benjankar, Rohan M.
Wright, C. Wayne
Goode, Jaime R.
Chen, Qiuwen
Reeder, William J.
Carmichael, Richard A.
Edmondson, Michael R.
description Advances in topobathymetric LiDARs could enable rapid surveys at sub‐meter resolution over entire stream networks. This is the first step to improving our knowledge of riverine systems, both their morphology and role in ecosystems. The Experimental Advanced Airborne Research LiDAR B (EAARL‐B) system is one such topobathymetric sensor, capable of mapping both terrestrial and aquatic systems. Whereas the original EAARL was developed to survey littoral areas, the new version, EAARL‐B, was also designed for riverine systems but has yet to be tested. Thus, we evaluated the ability of EAARL‐B to map bathymetry and floodplain topography at sub‐meter resolution in a mid‐size gravel‐bed river. We coupled the EAARL‐B survey with highly accurate field surveys (0.03 m vertical accuracy and approximately 0.6 by 0.6 m resolution) of three morphologically distinct reaches, approximately 200 m long 15 m wide, of the Lemhi River (Idaho, USA). Both point‐to‐point and raster‐to‐raster comparisons between ground and EAARL‐B surveyed elevations show that differences (ground minus EAARL‐B surveyed elevations) over the entire submerged topography are small (root mean square error, RMSE, and median absolute error, M, of 0.11 m), and large differences (RMSE, between 0.15 and 0.38 m and similar M) are mainly present in areas with abrupt elevation changes and covered by dense overhanging vegetation. RMSEs are as low as 0.03 m over paved smooth surfaces, 0.07 m in submerged, gradually varying topography, and as large as 0.24 m along banks with and without dense, tall vegetation. EAARL‐B performance is chiefly limited by point density in areas with strong elevation gradients and by LiDAR footprint size (0.2 m) in areas with topographic features of similar size as the LiDAR footprint. © 2018 John Wiley & Sons, Ltd. Topobathymetric airborne LiDAR, ‘Green LiDAR’, allows mapping of the riverscape at valley scale with meter‐scale resolution and errors, quantified as root mean square errors, against ground surveys of 0.11 m. Figure shows a three‐dimensional map (water flows from lower right corner to upper left corner, vertical length is 4 times exaggerated with respect to horizontal lengths) of Reach 2 from the LiDAR survey, which shows streambed topographical features from pools to riffles.
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Thus, we evaluated the ability of EAARL‐B to map bathymetry and floodplain topography at sub‐meter resolution in a mid‐size gravel‐bed river. We coupled the EAARL‐B survey with highly accurate field surveys (0.03 m vertical accuracy and approximately 0.6 by 0.6 m resolution) of three morphologically distinct reaches, approximately 200 m long 15 m wide, of the Lemhi River (Idaho, USA). Both point‐to‐point and raster‐to‐raster comparisons between ground and EAARL‐B surveyed elevations show that differences (ground minus EAARL‐B surveyed elevations) over the entire submerged topography are small (root mean square error, RMSE, and median absolute error, M, of 0.11 m), and large differences (RMSE, between 0.15 and 0.38 m and similar M) are mainly present in areas with abrupt elevation changes and covered by dense overhanging vegetation. 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Both point‐to‐point and raster‐to‐raster comparisons between ground and EAARL‐B surveyed elevations show that differences (ground minus EAARL‐B surveyed elevations) over the entire submerged topography are small (root mean square error, RMSE, and median absolute error, M, of 0.11 m), and large differences (RMSE, between 0.15 and 0.38 m and similar M) are mainly present in areas with abrupt elevation changes and covered by dense overhanging vegetation. RMSEs are as low as 0.03 m over paved smooth surfaces, 0.07 m in submerged, gradually varying topography, and as large as 0.24 m along banks with and without dense, tall vegetation. EAARL‐B performance is chiefly limited by point density in areas with strong elevation gradients and by LiDAR footprint size (0.2 m) in areas with topographic features of similar size as the LiDAR footprint. © 2018 John Wiley &amp; Sons, Ltd. Topobathymetric airborne LiDAR, ‘Green LiDAR’, allows mapping of the riverscape at valley scale with meter‐scale resolution and errors, quantified as root mean square errors, against ground surveys of 0.11 m. Figure shows a three‐dimensional map (water flows from lower right corner to upper left corner, vertical length is 4 times exaggerated with respect to horizontal lengths) of Reach 2 from the LiDAR survey, which shows streambed topographical features from pools to riffles.</abstract><cop>Bognor Regis</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/esp.4513</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-1866-1013</orcidid><oa>free_for_read</oa></addata></record>
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subjects Airborne remote sensing
Airborne sensing
Aquatic ecosystems
Aquatic environment
Banks (topography)
Bathymeters
Bathymetry
Ecosystems
Elevation
Environmental changes
Floodplains
Footprints
Gravel
Lidar
Littoral environments
Mapping
Morphology
performance of green LiDAR
Physiographic features
Polls & surveys
Raster
Resolution
Rivers
Root-mean-square errors
streambed bathymetry
Surveying
Surveys
Terrestrial environments
topobathymetric LiDAR
Topography
Topography (geology)
Vegetation
title Mapping river bathymetries: Evaluating topobathymetric LiDAR survey
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