Addendum: Faivre, R.; Colin, J.; Menenti, M. Evaluation of Methods for Aerodynamic Roughness Length Retrieval from Very High-Resolution Imaging LIDAR Observations over the Heihe Basin in China. Remote Sens. 2017, 9, 63

Faivre, Robin; Colin, Jérôme; Menenti, Massimo

doi:10.3390/rs9020157

Open AccessAddendum

Addendum: Faivre, R.; Colin, J.; Menenti, M. Evaluation of Methods for Aerodynamic Roughness Length Retrieval from Very High-Resolution Imaging LIDAR Observations over the Heihe Basin in China. Remote Sens. 2017, 9, 63

by

Robin Faivre

^1,2,*,

Jérôme Colin

¹ and

Massimo Menenti

^2,3

¹

ICube Laboratory, UMR 7357 CNRS-University of Strasbourg, F-67412 Illkirch Cedex, France

²

Department of Geoscience and Remote Sensing (GRS), Delft University of Technology, 2628 CN Delft, The Netherlands

³

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

^*

Author to whom correspondence should be addressed.

Remote Sens. 2017, 9(2), 157; https://doi.org/10.3390/rs9020157

Submission received: 9 February 2017 / Revised: 9 February 2017 / Accepted: 10 February 2017 / Published: 16 February 2017

Download Versions Notes

This work presented in [1] was partly supported by the ESA Dragon 2 programme under proposal no. 5322: ”Key Eco-Hydrological Parameters Retrieval and Land Data Assimilation System Development in a Typical Inland River Basin of China’s Arid Region”, a project which was coordinated at Delft University of Technology (TU Delft) with Massimo Menenti as the Lead Investigator.

Hence, the authors would like to inform that Robin Faivre, the first author of [1], is also affiliated to the Department of Geoscience and Remote Sensing (GRS) of Delft University of Technology (TU Delft), since he has been a young scientist of the ESA Dragon 2 programme.

The authors apologize for any inconvenience this change may cause. The changes do not affect the scientific results. The manuscript will be updated and the original will remain online on the article webpage, with a reference to this addendum.

Reference

Faivre, R.; Colin, J.; Mementi, M. Evaluation of methods for aerodynamic roughness length retrieval from very high-resolution imaging LIDAR observations over the Heihe Basin in China. Remote Sens. 2017, 9, 63. [Google Scholar] [CrossRef]

© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

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Faivre, R.; Colin, J.; Menenti, M. Addendum: Faivre, R.; Colin, J.; Menenti, M. Evaluation of Methods for Aerodynamic Roughness Length Retrieval from Very High-Resolution Imaging LIDAR Observations over the Heihe Basin in China. Remote Sens. 2017, 9, 63. Remote Sens. 2017, 9, 157. https://doi.org/10.3390/rs9020157

AMA Style

Faivre R, Colin J, Menenti M. Addendum: Faivre, R.; Colin, J.; Menenti, M. Evaluation of Methods for Aerodynamic Roughness Length Retrieval from Very High-Resolution Imaging LIDAR Observations over the Heihe Basin in China. Remote Sens. 2017, 9, 63. Remote Sensing. 2017; 9(2):157. https://doi.org/10.3390/rs9020157

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Faivre, Robin, Jérôme Colin, and Massimo Menenti. 2017. "Addendum: Faivre, R.; Colin, J.; Menenti, M. Evaluation of Methods for Aerodynamic Roughness Length Retrieval from Very High-Resolution Imaging LIDAR Observations over the Heihe Basin in China. Remote Sens. 2017, 9, 63" Remote Sensing 9, no. 2: 157. https://doi.org/10.3390/rs9020157

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Addendum: Faivre, R.; Colin, J.; Menenti, M. Evaluation of Methods for Aerodynamic Roughness Length Retrieval from Very High-Resolution Imaging LIDAR Observations over the Heihe Basin in China. Remote Sens. 2017, 9, 63

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