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Permanent Laser Scanner and Synthetic Aperture Radar Data: Correlation Characterisation at a Sandy Beach

Department of Geoscience and Remote Sensing, Delft University of Technology, 2628 CN Delft, The Netherlands
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Author to whom correspondence should be addressed.
Academic Editor: Renato Machado
Sensors 2022, 22(6), 2311; https://doi.org/10.3390/s22062311
Received: 31 January 2022 / Revised: 8 March 2022 / Accepted: 12 March 2022 / Published: 16 March 2022
(This article belongs to the Section Radar Sensors)
In recent years, our knowledge of coastal environments has been enriched by remotely sensed data. In this research, we co-analyse two sensor systems: Terrestrial Laser Scanning (TLS) and satellite-based Synthetic Aperture Radar (SAR). To successfully extract information from a combination of different sensors systems, it should be understood how these interact with the common environment. TLS provides high-spatiotemporal-resolution information, but it has high economic costs and limited field of view. SAR systems, despite their lower resolution, provide complete, repeated, and frequent coverage. Moreover, Sentinel-1 SAR images are freely available. In the present work, Permanent terrestrial Laser Scanning (PLS) data, collected in Noordwijk (The Netherlands), are compared with simultaneous Sentinel-1 SAR images to investigate their combined use on coastal environments: knowing the relationship between SAR and PLS data, the SAR dataset could be correlated to beach characteristics. Meteorological and surface roughness have also been taken into consideration in the evaluation of the correlation between PLS and SAR data. A generally positive linear correlation factor up to 0.5 exists between PLS and SAR data. This correlation occurs for low- or moderate-wind-speed conditions, whilst no particular correlation has been highlighted for high wind intensity. Furthermore, a dependence of the linear correlation on the wind direction has been detected. View Full-Text
Keywords: terrestrial laser scanner; SAR; coastal environment; weather effect; surface roughness terrestrial laser scanner; SAR; coastal environment; weather effect; surface roughness
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MDPI and ACS Style

Di Biase, V.; Kuschnerus, M.; Lindenbergh, R.C. Permanent Laser Scanner and Synthetic Aperture Radar Data: Correlation Characterisation at a Sandy Beach. Sensors 2022, 22, 2311. https://doi.org/10.3390/s22062311

AMA Style

Di Biase V, Kuschnerus M, Lindenbergh RC. Permanent Laser Scanner and Synthetic Aperture Radar Data: Correlation Characterisation at a Sandy Beach. Sensors. 2022; 22(6):2311. https://doi.org/10.3390/s22062311

Chicago/Turabian Style

Di Biase, Valeria, Mieke Kuschnerus, and Roderik C. Lindenbergh. 2022. "Permanent Laser Scanner and Synthetic Aperture Radar Data: Correlation Characterisation at a Sandy Beach" Sensors 22, no. 6: 2311. https://doi.org/10.3390/s22062311

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