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Correction

Correction: Almar et al. Sea State from Single Optical Images: A Methodology to Derive Wind-Generated Ocean Waves from Cameras, Drones and Satellites. Remote Sens. 2021, 13, 679

by
Rafael Almar
1,*,
Erwin W. J. Bergsma
2,
Patricio A. Catalan
3,4,
Rodrigo Cienfuegos
5,6,7,
Leandro Suarez
5,7,
Felipe Lucero
5,7,
Alexandre Nicolae Lerma
8,
Franck Desmazes
8,
Eleonora Perugini
9,
Margaret L. Palmsten
10 and
Chris Chickadel
11
1
Laboratoire d’Etudes en Géophysique et Océanographie Spatiales—LEGOS (CNRS-IRD-CNES-Université de Toulouse), 31400 Toulouse, France
2
Earth Observation Lab, CNES (French Space Agency), 31400 Toulouse, France
3
Departamento de Obras Civiles, Universidad Técnica Federico Santa María, Valparaiso 2390123, Chile
4
Centro Científico Tecnológico de Valparaíso (CCTVal), Valparaiso 2390123, Chile
5
Departamento de Ingeniería Hidráulica y Ambiental, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile
6
Research Center for Integrated Disaster Risk Management (CIGIDEN), ANID/FONDAP/15110017, Santiago 7820436, Chile
7
Marine Energy Research and Innovation Centre (MERIC), Santiago 7550268, Chile
8
Bureau de Recherches Géologiques et Minières (BRGM), 33600 Pessac, France
9
Department of DICEA, Università Politecnica delle Marche, 60131 Ancona, Italy
10
St. Petersburg Coastal and Marine Science Center, USGS, St. Petersburg, FL 33701, USA
11
Applied Physics Laboratory, University of Washington, Seattle, WA 98195, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(13), 3120; https://doi.org/10.3390/rs14133120
Submission received: 14 December 2021 / Accepted: 6 May 2022 / Published: 29 June 2022
There was an error in the original article [1]. A disclaimer was missing from the Acknowledgments.
A correction has been made to the Acknowledgments:
Acknowledgments: Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.

Reference

  1. Almar, R.; Bergsma, E.W.J.; Catalan, P.A.; Cienfuegos, R.; Suarez, L.; Lucero, F.; Lerma, A.N.; Desmazes, F.; Perugini, E.; Palmsten, M.L.; et al. Sea State from Single Optical Images: A Methodology to Derive Wind-Generated Ocean Waves from Cameras, Drones and Satellites. Remote Sens. 2021, 13, 679. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Almar, R.; Bergsma, E.W.J.; Catalan, P.A.; Cienfuegos, R.; Suarez, L.; Lucero, F.; Lerma, A.N.; Desmazes, F.; Perugini, E.; Palmsten, M.L.; et al. Correction: Almar et al. Sea State from Single Optical Images: A Methodology to Derive Wind-Generated Ocean Waves from Cameras, Drones and Satellites. Remote Sens. 2021, 13, 679. Remote Sens. 2022, 14, 3120. https://doi.org/10.3390/rs14133120

AMA Style

Almar R, Bergsma EWJ, Catalan PA, Cienfuegos R, Suarez L, Lucero F, Lerma AN, Desmazes F, Perugini E, Palmsten ML, et al. Correction: Almar et al. Sea State from Single Optical Images: A Methodology to Derive Wind-Generated Ocean Waves from Cameras, Drones and Satellites. Remote Sens. 2021, 13, 679. Remote Sensing. 2022; 14(13):3120. https://doi.org/10.3390/rs14133120

Chicago/Turabian Style

Almar, Rafael, Erwin W. J. Bergsma, Patricio A. Catalan, Rodrigo Cienfuegos, Leandro Suarez, Felipe Lucero, Alexandre Nicolae Lerma, Franck Desmazes, Eleonora Perugini, Margaret L. Palmsten, and et al. 2022. "Correction: Almar et al. Sea State from Single Optical Images: A Methodology to Derive Wind-Generated Ocean Waves from Cameras, Drones and Satellites. Remote Sens. 2021, 13, 679" Remote Sensing 14, no. 13: 3120. https://doi.org/10.3390/rs14133120

APA Style

Almar, R., Bergsma, E. W. J., Catalan, P. A., Cienfuegos, R., Suarez, L., Lucero, F., Lerma, A. N., Desmazes, F., Perugini, E., Palmsten, M. L., & Chickadel, C. (2022). Correction: Almar et al. Sea State from Single Optical Images: A Methodology to Derive Wind-Generated Ocean Waves from Cameras, Drones and Satellites. Remote Sens. 2021, 13, 679. Remote Sensing, 14(13), 3120. https://doi.org/10.3390/rs14133120

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