UAS Current Mapping: A Wave-Based Heading and Position Correction
Our unmanned aerial system (UAS) current mapping is based on optical video data of the sea surface. We use three-dimensional fast Fourier transform and least squares fitting to measure the surface waves’ phase velocities and the currents via the linear dispersion relationship. Our UAS is a low-cost...
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| Veröffentlicht in: | Journal of atmospheric and oceanic technology 2021-09, Vol.38 (9), p.1441-1455 |
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| creator | Lund, Björn Carrasco, Ruben Dai, Hanjing Graber, Hans C. Guigand, Cédric M. Haus, Brian K. Horstmann, Jochen Lodise, John A. Novelli, Guillaume Özgökmen, Tamay Rebozo, Michael A. Ryan, Edward H. Streßer, Michael |
| description | Our unmanned aerial system (UAS) current mapping is based on optical video data of the sea surface. We use three-dimensional fast Fourier transform and least squares fitting to measure the surface waves’ phase velocities and the currents via the linear dispersion relationship. Our UAS is a low-cost off-the-shelf quadcopter with inaccurate camera position and attitude measurements, which may cause spurious currents as large as the signal. We present a novel wave-based UAS heading and position correction, improving the image rectification accuracy by a factor of ~3.5 and the current measurements’ temporal repeatability by factors of 1.8–4.8. This validation study maps the currents at high spatiotemporal resolution (5 m and 4 s) across the ~700-m-wide tidally dominated Bear Cut channel in Miami, Florida. The UAS currents are compared to flotsam tracks, obtained through automated UAS video object detection and tracking, drifter tracks, and acoustic Doppler current profiler measurements. The root-mean-square errors of the cross- and along-channel currents are better than 0.03 m s
−1
for the flotsam comparison and better than 0.06 m s
−1
for the drifter comparison; the latter revealed a 0.06 m s
−1
along-wind bias due to wind- and wave-driven vertical current shear. UAS current mapping could be used to monitor river discharge, buoyant pollutants, or submesoscale fronts and eddies; the proposed wave-based heading and position correction enables its use in areas without ground control points. |
| doi_str_mv | 10.1175/JTECH-D-20-0123.1 |
| format | Article |
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−1
for the flotsam comparison and better than 0.06 m s
−1
for the drifter comparison; the latter revealed a 0.06 m s
−1
along-wind bias due to wind- and wave-driven vertical current shear. UAS current mapping could be used to monitor river discharge, buoyant pollutants, or submesoscale fronts and eddies; the proposed wave-based heading and position correction enables its use in areas without ground control points.</description><identifier>ISSN: 0739-0572</identifier><identifier>EISSN: 1520-0426</identifier><identifier>DOI: 10.1175/JTECH-D-20-0123.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Accuracy ; Acoustic Doppler Current Profiler ; Altitude ; Bathymetry ; Beaches ; Cameras ; Current shear ; Doppler sonar ; Eddies ; Fast Fourier transformations ; Flotsam ; Fourier transforms ; Fronts ; Mapping ; Measurement techniques ; Object recognition ; Pollutants ; Position measurement ; River discharge ; River flow ; Sea surface ; Standard deviation ; Surface waves ; Time series ; Tracking ; Unmanned aerial vehicles ; Video data ; Water pollution ; Wind</subject><ispartof>Journal of atmospheric and oceanic technology, 2021-09, Vol.38 (9), p.1441-1455</ispartof><rights>Copyright American Meteorological Society Sep 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3672,27915,27916</link.rule.ids></links><search><creatorcontrib>Lund, Björn</creatorcontrib><creatorcontrib>Carrasco, Ruben</creatorcontrib><creatorcontrib>Dai, Hanjing</creatorcontrib><creatorcontrib>Graber, Hans C.</creatorcontrib><creatorcontrib>Guigand, Cédric M.</creatorcontrib><creatorcontrib>Haus, Brian K.</creatorcontrib><creatorcontrib>Horstmann, Jochen</creatorcontrib><creatorcontrib>Lodise, John A.</creatorcontrib><creatorcontrib>Novelli, Guillaume</creatorcontrib><creatorcontrib>Özgökmen, Tamay</creatorcontrib><creatorcontrib>Rebozo, Michael A.</creatorcontrib><creatorcontrib>Ryan, Edward H.</creatorcontrib><creatorcontrib>Streßer, Michael</creatorcontrib><title>UAS Current Mapping: A Wave-Based Heading and Position Correction</title><title>Journal of atmospheric and oceanic technology</title><description>Our unmanned aerial system (UAS) current mapping is based on optical video data of the sea surface. We use three-dimensional fast Fourier transform and least squares fitting to measure the surface waves’ phase velocities and the currents via the linear dispersion relationship. Our UAS is a low-cost off-the-shelf quadcopter with inaccurate camera position and attitude measurements, which may cause spurious currents as large as the signal. We present a novel wave-based UAS heading and position correction, improving the image rectification accuracy by a factor of ~3.5 and the current measurements’ temporal repeatability by factors of 1.8–4.8. This validation study maps the currents at high spatiotemporal resolution (5 m and 4 s) across the ~700-m-wide tidally dominated Bear Cut channel in Miami, Florida. The UAS currents are compared to flotsam tracks, obtained through automated UAS video object detection and tracking, drifter tracks, and acoustic Doppler current profiler measurements. The root-mean-square errors of the cross- and along-channel currents are better than 0.03 m s
−1
for the flotsam comparison and better than 0.06 m s
−1
for the drifter comparison; the latter revealed a 0.06 m s
−1
along-wind bias due to wind- and wave-driven vertical current shear. UAS current mapping could be used to monitor river discharge, buoyant pollutants, or submesoscale fronts and eddies; the proposed wave-based heading and position correction enables its use in areas without ground control points.</description><subject>Accuracy</subject><subject>Acoustic Doppler Current Profiler</subject><subject>Altitude</subject><subject>Bathymetry</subject><subject>Beaches</subject><subject>Cameras</subject><subject>Current shear</subject><subject>Doppler sonar</subject><subject>Eddies</subject><subject>Fast Fourier transformations</subject><subject>Flotsam</subject><subject>Fourier transforms</subject><subject>Fronts</subject><subject>Mapping</subject><subject>Measurement techniques</subject><subject>Object recognition</subject><subject>Pollutants</subject><subject>Position measurement</subject><subject>River discharge</subject><subject>River flow</subject><subject>Sea surface</subject><subject>Standard deviation</subject><subject>Surface waves</subject><subject>Time series</subject><subject>Tracking</subject><subject>Unmanned aerial vehicles</subject><subject>Video data</subject><subject>Water 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technology</jtitle><date>2021-09</date><risdate>2021</risdate><volume>38</volume><issue>9</issue><spage>1441</spage><epage>1455</epage><pages>1441-1455</pages><issn>0739-0572</issn><eissn>1520-0426</eissn><abstract>Our unmanned aerial system (UAS) current mapping is based on optical video data of the sea surface. We use three-dimensional fast Fourier transform and least squares fitting to measure the surface waves’ phase velocities and the currents via the linear dispersion relationship. Our UAS is a low-cost off-the-shelf quadcopter with inaccurate camera position and attitude measurements, which may cause spurious currents as large as the signal. We present a novel wave-based UAS heading and position correction, improving the image rectification accuracy by a factor of ~3.5 and the current measurements’ temporal repeatability by factors of 1.8–4.8. This validation study maps the currents at high spatiotemporal resolution (5 m and 4 s) across the ~700-m-wide tidally dominated Bear Cut channel in Miami, Florida. The UAS currents are compared to flotsam tracks, obtained through automated UAS video object detection and tracking, drifter tracks, and acoustic Doppler current profiler measurements. The root-mean-square errors of the cross- and along-channel currents are better than 0.03 m s
−1
for the flotsam comparison and better than 0.06 m s
−1
for the drifter comparison; the latter revealed a 0.06 m s
−1
along-wind bias due to wind- and wave-driven vertical current shear. UAS current mapping could be used to monitor river discharge, buoyant pollutants, or submesoscale fronts and eddies; the proposed wave-based heading and position correction enables its use in areas without ground control points.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/JTECH-D-20-0123.1</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of atmospheric and oceanic technology, 2021-09, Vol.38 (9), p.1441-1455 |
| issn | 0739-0572 1520-0426 |
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| source | Elektronische Zeitschriftenbibliothek; Alma/SFX Local Collection; AMS Journals (Meteorology) |
| subjects | Accuracy Acoustic Doppler Current Profiler Altitude Bathymetry Beaches Cameras Current shear Doppler sonar Eddies Fast Fourier transformations Flotsam Fourier transforms Fronts Mapping Measurement techniques Object recognition Pollutants Position measurement River discharge River flow Sea surface Standard deviation Surface waves Time series Tracking Unmanned aerial vehicles Video data Water pollution Wind |
| title | UAS Current Mapping: A Wave-Based Heading and Position Correction |
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