Assessing the Ability of Structure From Motion to Map High‐Resolution Snow Surface Elevations in Complex Terrain: A Case Study From Senator Beck Basin, CO
The utility of differentially mapping snow depth to assess snow water resources at the watershed scale has been demonstrated using snow‐free and snow‐on lidar surface elevations. On more limited spatial and temporal scales, the same principle has been successfully applied with the relatively new pho...
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Veröffentlicht in: | Water resources research 2019-08, Vol.55 (8), p.6596-6605 |
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description | The utility of differentially mapping snow depth to assess snow water resources at the watershed scale has been demonstrated using snow‐free and snow‐on lidar surface elevations. On more limited spatial and temporal scales, the same principle has been successfully applied with the relatively new photogrammetric technique Structure from Motion (SfM). Given the low cost of cameras relative to lidar technology, early studies are promising, yet it is well known that reconstructing elevations over bright snow surfaces in complex terrain has been a limitation for traditional photogrammetric methods. Therefore, before progressing to snow depth, it is worthwhile to constrain how well snow surface elevations are mapped with SfM. The lidar‐based Airborne Snow Observatory, which also has an RGB camera, provides a unique opportunity to assess SfM against coincidentally collected lidar. Here we present a lidar‐SfM snow surface elevation comparison from the 21 February 2017 flight, which took place in Senator Beck Basin, San Juan Mountains, CO, during the National Aeronautics and Space Administration (NASA) SnowEx campaign (Year 1). After coregistration of the two surface models, the normalized median absolute deviation was 0.17 m with a mean relative elevation difference of 0.014 m at identical spatial resolution of 1 m. The digital surface model was created without the use of ground control points, shows a promising potential to apply SfM for watershed‐scale surface elevation and snow depth mapping, and warrants further investigation of SfM as a supplement or alternative to lidar.
Key Points
Prior to elevation differencing for snow depth, accuracy in surface elevations themselves should be assessed
An established workflow will allow for consistent assessment of surface elevations from different methods over multiple scales
StructurefromMotion photogrammetry maps snow surface elevations well and should be considered for watershed‐scale snow depth mapping |
doi_str_mv | 10.1029/2018WR024518 |
format | Article |
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Key Points
Prior to elevation differencing for snow depth, accuracy in surface elevations themselves should be assessed
An established workflow will allow for consistent assessment of surface elevations from different methods over multiple scales
StructurefromMotion photogrammetry maps snow surface elevations well and should be considered for watershed‐scale snow depth mapping</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2018WR024518</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Aeronautics ; Airborne observation ; Cameras ; Depth ; Elevation ; Lidar ; Mapping ; Mountains ; Photogrammetry ; remote sensing ; Resolution ; Snow ; Snow accumulation ; Snow depth ; snow hydrology ; snow water resources ; SnowEx ; Spatial discrimination ; Spatial resolution ; Structure from Motion ; Terrain ; Water depth ; Water resources ; Watersheds</subject><ispartof>Water resources research, 2019-08, Vol.55 (8), p.6596-6605</ispartof><rights>2019. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3300-ae62b614d44a6faa26ec6cba5cf53987f319fcb3f6bd891bdba0b66bb1366fb83</citedby><cites>FETCH-LOGICAL-a3300-ae62b614d44a6faa26ec6cba5cf53987f319fcb3f6bd891bdba0b66bb1366fb83</cites><orcidid>0000-0002-7726-6355 ; 0000-0002-1358-2244</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2018WR024518$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2018WR024518$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,11494,27903,27904,45553,45554,46446,46870</link.rule.ids></links><search><creatorcontrib>Meyer, Joachim</creatorcontrib><creatorcontrib>Skiles, S. McKenzie</creatorcontrib><title>Assessing the Ability of Structure From Motion to Map High‐Resolution Snow Surface Elevations in Complex Terrain: A Case Study From Senator Beck Basin, CO</title><title>Water resources research</title><description>The utility of differentially mapping snow depth to assess snow water resources at the watershed scale has been demonstrated using snow‐free and snow‐on lidar surface elevations. On more limited spatial and temporal scales, the same principle has been successfully applied with the relatively new photogrammetric technique Structure from Motion (SfM). Given the low cost of cameras relative to lidar technology, early studies are promising, yet it is well known that reconstructing elevations over bright snow surfaces in complex terrain has been a limitation for traditional photogrammetric methods. Therefore, before progressing to snow depth, it is worthwhile to constrain how well snow surface elevations are mapped with SfM. The lidar‐based Airborne Snow Observatory, which also has an RGB camera, provides a unique opportunity to assess SfM against coincidentally collected lidar. Here we present a lidar‐SfM snow surface elevation comparison from the 21 February 2017 flight, which took place in Senator Beck Basin, San Juan Mountains, CO, during the National Aeronautics and Space Administration (NASA) SnowEx campaign (Year 1). After coregistration of the two surface models, the normalized median absolute deviation was 0.17 m with a mean relative elevation difference of 0.014 m at identical spatial resolution of 1 m. The digital surface model was created without the use of ground control points, shows a promising potential to apply SfM for watershed‐scale surface elevation and snow depth mapping, and warrants further investigation of SfM as a supplement or alternative to lidar.
Key Points
Prior to elevation differencing for snow depth, accuracy in surface elevations themselves should be assessed
An established workflow will allow for consistent assessment of surface elevations from different methods over multiple scales
StructurefromMotion photogrammetry maps snow surface elevations well and should be considered for watershed‐scale snow depth mapping</description><subject>Aeronautics</subject><subject>Airborne observation</subject><subject>Cameras</subject><subject>Depth</subject><subject>Elevation</subject><subject>Lidar</subject><subject>Mapping</subject><subject>Mountains</subject><subject>Photogrammetry</subject><subject>remote sensing</subject><subject>Resolution</subject><subject>Snow</subject><subject>Snow accumulation</subject><subject>Snow depth</subject><subject>snow hydrology</subject><subject>snow water resources</subject><subject>SnowEx</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>Structure from Motion</subject><subject>Terrain</subject><subject>Water depth</subject><subject>Water resources</subject><subject>Watersheds</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kE1OwzAUhC0EEuVnxwGexJaAHbtOzK5E5UcCIbUglpGdPoMhjYudAN1xBA7A6TgJLWXBitVIbz7NPA0he4weMpqqo5Sy_G5EU9Fn-RrpMSVEkqmMr5MepYInjKtsk2zF-EgpE32Z9cjnIEaM0TX30D4gDIyrXTsHb2Hchq5qu4BwGvwUrnzrfAOthys9g3N3__D1_jHC6Ovuxxg3_hXGXbC6QhjW-KKX5wiugcJPZzW-wQ2GoF1zDAModMRFQzeZr9LH2OjWBzjB6glO9OKfAyiud8iG1XXE3V_dJrenw5viPLm8PrsoBpeJ5pzSRKNMjWRiIoSWVutUYiUro_uV7XOVZ5YzZSvDrTSTXDEzMZoaKY1hXEprcr5N9le5s-CfO4xt-ei70CwqyzRVSuY5z5bUwYqqgo8xoC1nwU11mJeMlsv9y7_7L3C-wl9djfN_2fJuVIxSwSjl333ZiV4</recordid><startdate>201908</startdate><enddate>201908</enddate><creator>Meyer, Joachim</creator><creator>Skiles, S. McKenzie</creator><general>John Wiley & Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7T7</scope><scope>7TG</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0002-7726-6355</orcidid><orcidid>https://orcid.org/0000-0002-1358-2244</orcidid></search><sort><creationdate>201908</creationdate><title>Assessing the Ability of Structure From Motion to Map High‐Resolution Snow Surface Elevations in Complex Terrain: A Case Study From Senator Beck Basin, CO</title><author>Meyer, Joachim ; Skiles, S. McKenzie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3300-ae62b614d44a6faa26ec6cba5cf53987f319fcb3f6bd891bdba0b66bb1366fb83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aeronautics</topic><topic>Airborne observation</topic><topic>Cameras</topic><topic>Depth</topic><topic>Elevation</topic><topic>Lidar</topic><topic>Mapping</topic><topic>Mountains</topic><topic>Photogrammetry</topic><topic>remote sensing</topic><topic>Resolution</topic><topic>Snow</topic><topic>Snow accumulation</topic><topic>Snow depth</topic><topic>snow hydrology</topic><topic>snow water resources</topic><topic>SnowEx</topic><topic>Spatial discrimination</topic><topic>Spatial resolution</topic><topic>Structure from Motion</topic><topic>Terrain</topic><topic>Water depth</topic><topic>Water resources</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meyer, Joachim</creatorcontrib><creatorcontrib>Skiles, S. McKenzie</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Virology and AIDS 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>AIDS and Cancer Research Abstracts</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><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meyer, Joachim</au><au>Skiles, S. McKenzie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing the Ability of Structure From Motion to Map High‐Resolution Snow Surface Elevations in Complex Terrain: A Case Study From Senator Beck Basin, CO</atitle><jtitle>Water resources research</jtitle><date>2019-08</date><risdate>2019</risdate><volume>55</volume><issue>8</issue><spage>6596</spage><epage>6605</epage><pages>6596-6605</pages><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>The utility of differentially mapping snow depth to assess snow water resources at the watershed scale has been demonstrated using snow‐free and snow‐on lidar surface elevations. On more limited spatial and temporal scales, the same principle has been successfully applied with the relatively new photogrammetric technique Structure from Motion (SfM). Given the low cost of cameras relative to lidar technology, early studies are promising, yet it is well known that reconstructing elevations over bright snow surfaces in complex terrain has been a limitation for traditional photogrammetric methods. Therefore, before progressing to snow depth, it is worthwhile to constrain how well snow surface elevations are mapped with SfM. The lidar‐based Airborne Snow Observatory, which also has an RGB camera, provides a unique opportunity to assess SfM against coincidentally collected lidar. Here we present a lidar‐SfM snow surface elevation comparison from the 21 February 2017 flight, which took place in Senator Beck Basin, San Juan Mountains, CO, during the National Aeronautics and Space Administration (NASA) SnowEx campaign (Year 1). After coregistration of the two surface models, the normalized median absolute deviation was 0.17 m with a mean relative elevation difference of 0.014 m at identical spatial resolution of 1 m. The digital surface model was created without the use of ground control points, shows a promising potential to apply SfM for watershed‐scale surface elevation and snow depth mapping, and warrants further investigation of SfM as a supplement or alternative to lidar.
Key Points
Prior to elevation differencing for snow depth, accuracy in surface elevations themselves should be assessed
An established workflow will allow for consistent assessment of surface elevations from different methods over multiple scales
StructurefromMotion photogrammetry maps snow surface elevations well and should be considered for watershed‐scale snow depth mapping</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2018WR024518</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-7726-6355</orcidid><orcidid>https://orcid.org/0000-0002-1358-2244</orcidid></addata></record> |
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subjects | Aeronautics Airborne observation Cameras Depth Elevation Lidar Mapping Mountains Photogrammetry remote sensing Resolution Snow Snow accumulation Snow depth snow hydrology snow water resources SnowEx Spatial discrimination Spatial resolution Structure from Motion Terrain Water depth Water resources Watersheds |
title | Assessing the Ability of Structure From Motion to Map High‐Resolution Snow Surface Elevations in Complex Terrain: A Case Study From Senator Beck Basin, CO |
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