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Remote Sens. 2017, 9(6), 552; doi:10.3390/rs9060552

Validation of Sentinel-1A SAR Coastal Wind Speeds Against Scanning LiDAR

DTU Wind Energy, Roskilde 4000, Denmark
Author to whom correspondence should be addressed.
Academic Editors: Bruce Chapman, Paul Siqueira, Xiaofeng Li and Prasad S. Thenkabail
Received: 20 April 2017 / Revised: 18 May 2017 / Accepted: 26 May 2017 / Published: 2 June 2017
(This article belongs to the Special Issue Calibration and Validation of Synthetic Aperture Radar)
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High-accuracy wind data for coastal regions is needed today, e.g., for the assessment of wind resources. Synthetic Aperture Radar (SAR) is the only satellite borne sensor that has enough resolution to resolve wind speeds closer than 10 km to shore but the Geophysical Model Functions (GMF) used for SAR wind retrieval are not fully validated here. Ground based scanning light detection and ranging (LiDAR) offer high horizontal resolution wind velocity measurements with high accuracy, also in the coastal zone. This study, for the first time, examines accuracies of SAR wind retrievals at 10 m height with respect to the distance to shore by validation against scanning LiDARs. Comparison of 15 Sentinel-1A wind retrievals using the GMF called C-band model 5.N (CMOD5.N) versus LiDARs show good agreement. It is found, when nondimenionalising with a reference point, that wind speed reductions are between 4% and 8% from 3 km to 1 km from shore. Findings indicate that SAR wind retrievals give reliable wind speed measurements as close as 1 km to the shore. Comparisons of SAR winds versus two different LiDAR configurations yield root mean square error (RMSE) of 1.31 ms 1 and 1.42 ms 1 for spatially averaged wind speeds. View Full-Text
Keywords: validation; SAR; coastal wind; scanning LiDAR; Geophysical Model Function; CMOD5.N; SAR wind retrieval; wind energy validation; SAR; coastal wind; scanning LiDAR; Geophysical Model Function; CMOD5.N; SAR wind retrieval; wind energy

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ahsbahs, T.; Badger, M.; Karagali, I.; Larsén, X.G. Validation of Sentinel-1A SAR Coastal Wind Speeds Against Scanning LiDAR. Remote Sens. 2017, 9, 552.

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