Comparison of classical and drone based hard-target methodologies applied to scanning lidar for offshore wind

Abstract Hard target testing is a crucial part of the commissioning process of scanning lidar measurement systems. The correct alignment of the scan head and understanding of the pointing accuracy is crucial to reducing uncertainties in wind speed measurements by scanning lidar especially in dual-scanning configuration. This paper presents a comparison between traditional hard targeting technique and the use of drone based hard targets. A procedure is presented to minimise measurement error and hence increase confidence in the pointing accuracy.

Authors

Institutions

Publication Details

Journal
Journal of Physics Conference Series
Published
2024-11-01
DOI
https://doi.org/10.1088/1742-6596/2875/1/012041
Citations
1
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of classical and drone based hard-target methodologies applied to scanning lidar for offshore wind

S. Redford, J. Andrew Royle, Andrew Oldroyd, Julia Gottschall et al.
1 citations
Journal of Physics Conference Series
Remote Sensing and LiDAR Applications
0.21
article

Comparison of classical and drone based hard-target methodologies applied to scanning lidar for offshore wind

S. Redford, J. Andrew Royle, Andrew Oldroyd, Julia Gottschall, Michael E. Young, Martin Docherty, J Bost, J Haize
article en
1 citations

Abstract

Abstract Hard target testing is a crucial part of the commissioning process of scanning lidar measurement systems. The correct alignment of the scan head and understanding of the pointing accuracy is crucial to reducing uncertainties in wind speed measurements by scanning lidar especially in dual-scanning configuration. This paper presents a comparison between traditional hard targeting technique and the use of drone based hard targets. A procedure is presented to minimise measurement error and hence increase confidence in the pointing accuracy.

Journal of Physics Conference SeriesVol. 2875(1)
University of Stirling (GB), Kelvin Nanotechnology (United Kingdom) (GB), Fraunhofer Institute for Wind Energy Systems (DE), Total (United Kingdom) (GB)
Affordable and clean energy
Openalex Percentile: Top 49%
Remote Sensing and LiDAR Applications
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.