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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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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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.</description><identifier>ISSN: 0197-9337</identifier><identifier>EISSN: 1096-9837</identifier><identifier>DOI: 10.1002/esp.4513</identifier><language>eng</language><publisher>Bognor Regis: Wiley Subscription Services, Inc</publisher><subject>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</subject><ispartof>Earth surface processes and landforms, 2019-02, Vol.44 (2), p.507-520</ispartof><rights>2018 John Wiley & Sons, Ltd.</rights><rights>2019 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a4163-b88c3f0115ce1ed01cabaded9935af198a69fc806f2d5984beb9660d1cfe58ec3</citedby><cites>FETCH-LOGICAL-a4163-b88c3f0115ce1ed01cabaded9935af198a69fc806f2d5984beb9660d1cfe58ec3</cites><orcidid>0000-0002-1866-1013</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fesp.4513$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fesp.4513$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Tonina, Daniele</creatorcontrib><creatorcontrib>McKean, James A.</creatorcontrib><creatorcontrib>Benjankar, Rohan M.</creatorcontrib><creatorcontrib>Wright, C. Wayne</creatorcontrib><creatorcontrib>Goode, Jaime R.</creatorcontrib><creatorcontrib>Chen, Qiuwen</creatorcontrib><creatorcontrib>Reeder, William J.</creatorcontrib><creatorcontrib>Carmichael, Richard A.</creatorcontrib><creatorcontrib>Edmondson, Michael R.</creatorcontrib><title>Mapping river bathymetries: Evaluating topobathymetric LiDAR survey</title><title>Earth surface processes and landforms</title><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.</description><subject>Airborne remote sensing</subject><subject>Airborne sensing</subject><subject>Aquatic ecosystems</subject><subject>Aquatic environment</subject><subject>Banks (topography)</subject><subject>Bathymeters</subject><subject>Bathymetry</subject><subject>Ecosystems</subject><subject>Elevation</subject><subject>Environmental changes</subject><subject>Floodplains</subject><subject>Footprints</subject><subject>Gravel</subject><subject>Lidar</subject><subject>Littoral environments</subject><subject>Mapping</subject><subject>Morphology</subject><subject>performance of green LiDAR</subject><subject>Physiographic features</subject><subject>Polls & surveys</subject><subject>Raster</subject><subject>Resolution</subject><subject>Rivers</subject><subject>Root-mean-square errors</subject><subject>streambed bathymetry</subject><subject>Surveying</subject><subject>Surveys</subject><subject>Terrestrial environments</subject><subject>topobathymetric LiDAR</subject><subject>Topography</subject><subject>Topography (geology)</subject><subject>Vegetation</subject><issn>0197-9337</issn><issn>1096-9837</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp10EtLxDAUBeAgCtZR8CcU3LjpmNu0aeJuGMcHjCg-1iFNb7TDzLQm7Qz997ZWcOXqLs7HPXAIOQc6BUrjK_T1NEmBHZAAqOSRFCw7JAEFmUWSseyYnHi_ohQgETIg80dd1-X2I3TlDl2Y6-az22DjSvTX4WKn161uhrip6uovNOGyvJm9hL51O-xOyZHVa49nv3dC3m8Xb_P7aPl09zCfLSOdAGdRLoRhti9ODQIWFIzOdYGFlCzVFqTQXFojKLdxkUqR5JhLzmkBxmIq0LAJuRj_1q76atE3alW1bttXqhgyTkWWcNary1EZV3nv0KralRvtOgVUDROpfiI1TNTTaKT7co3dv04tXp9__De5b2h1</recordid><startdate>201902</startdate><enddate>201902</enddate><creator>Tonina, Daniele</creator><creator>McKean, James A.</creator><creator>Benjankar, Rohan M.</creator><creator>Wright, C. Wayne</creator><creator>Goode, Jaime R.</creator><creator>Chen, Qiuwen</creator><creator>Reeder, William J.</creator><creator>Carmichael, Richard A.</creator><creator>Edmondson, Michael R.</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-1866-1013</orcidid></search><sort><creationdate>201902</creationdate><title>Mapping river bathymetries: Evaluating topobathymetric LiDAR survey</title><author>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.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4163-b88c3f0115ce1ed01cabaded9935af198a69fc806f2d5984beb9660d1cfe58ec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Airborne remote sensing</topic><topic>Airborne sensing</topic><topic>Aquatic ecosystems</topic><topic>Aquatic environment</topic><topic>Banks (topography)</topic><topic>Bathymeters</topic><topic>Bathymetry</topic><topic>Ecosystems</topic><topic>Elevation</topic><topic>Environmental changes</topic><topic>Floodplains</topic><topic>Footprints</topic><topic>Gravel</topic><topic>Lidar</topic><topic>Littoral environments</topic><topic>Mapping</topic><topic>Morphology</topic><topic>performance of green LiDAR</topic><topic>Physiographic features</topic><topic>Polls & surveys</topic><topic>Raster</topic><topic>Resolution</topic><topic>Rivers</topic><topic>Root-mean-square errors</topic><topic>streambed bathymetry</topic><topic>Surveying</topic><topic>Surveys</topic><topic>Terrestrial environments</topic><topic>topobathymetric LiDAR</topic><topic>Topography</topic><topic>Topography (geology)</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tonina, Daniele</creatorcontrib><creatorcontrib>McKean, James A.</creatorcontrib><creatorcontrib>Benjankar, Rohan M.</creatorcontrib><creatorcontrib>Wright, C. Wayne</creatorcontrib><creatorcontrib>Goode, Jaime R.</creatorcontrib><creatorcontrib>Chen, Qiuwen</creatorcontrib><creatorcontrib>Reeder, William J.</creatorcontrib><creatorcontrib>Carmichael, Richard A.</creatorcontrib><creatorcontrib>Edmondson, Michael R.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Earth surface processes and landforms</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tonina, Daniele</au><au>McKean, James A.</au><au>Benjankar, Rohan M.</au><au>Wright, C. Wayne</au><au>Goode, Jaime R.</au><au>Chen, Qiuwen</au><au>Reeder, William J.</au><au>Carmichael, Richard A.</au><au>Edmondson, Michael R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping river bathymetries: Evaluating topobathymetric LiDAR survey</atitle><jtitle>Earth surface processes and landforms</jtitle><date>2019-02</date><risdate>2019</risdate><volume>44</volume><issue>2</issue><spage>507</spage><epage>520</epage><pages>507-520</pages><issn>0197-9337</issn><eissn>1096-9837</eissn><abstract>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.</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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