2023
DOI: 10.3390/rs15061478
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A Unified Formulation for the Computation of the Six-Degrees-of-Freedom-Motion-Induced Errors in Floating Doppler Wind LiDARs

Abstract: This work presents an analytical formulation to assess the six-degrees-of-freedom-motion-induced error in floating Doppler wind LiDARs (FDWLs). The error products derive from the horizontal wind speed bias and apparent turbulence intensity. Departing from a geometrical formulation of the FDWL attitude and of the LiDAR retrieval algorithm, the contributions of the rotational and translational motion to the FDWL-measured total error are computed. Central to this process is the interpretation of the velocity–azim… Show more

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(2 citation statements)
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“…While ground-based technologies have historically provided valuable insights into atmospheric dynamics, the detection area of the ground-based DWL is constrained by fixed locations, facing inherent limitations. To overcome these constraints and enhance DWL capabilities, researchers have explored various platform-mounted DWLs, including vehicle-mounted DWLs [17], floating DWLs [18], shipborne DWLs [19], and airborne Doppler wind lidars (ADWLs) [20]. ADWLs offer a remarkable advantage in their high mobility and flexibility, capturing detailed wind profiles across different atmospheric layers from the ground surface to higher altitudes.…”
Section: Introductionmentioning
confidence: 99%
“…While ground-based technologies have historically provided valuable insights into atmospheric dynamics, the detection area of the ground-based DWL is constrained by fixed locations, facing inherent limitations. To overcome these constraints and enhance DWL capabilities, researchers have explored various platform-mounted DWLs, including vehicle-mounted DWLs [17], floating DWLs [18], shipborne DWLs [19], and airborne Doppler wind lidars (ADWLs) [20]. ADWLs offer a remarkable advantage in their high mobility and flexibility, capturing detailed wind profiles across different atmospheric layers from the ground surface to higher altitudes.…”
Section: Introductionmentioning
confidence: 99%
“…However, for estimates of second-order statistics like turbulence intensity (TI), it is known that the influence of lidar motion leads to an overestimation of TI values from FLS compared to what fixed lidar systems would measure [2,3,4]. Fugro has developed a motion-compensation algorithm that effectively takes the motion out of floating lidar and hence solves the issue of motion-induced TI [3].…”
Section: Introductionmentioning
confidence: 99%