Delft University of Technology
Addendum
Evaluation of methods for aerodynamic roughness length retrieval from very
high-resolution imaging LIDAR observations over the Heihe Basin in China [Remote Sens., 9,
(2017) 63]
Faivre, Robin; Colin, Jérôme; Menenti, Massimo
DOI
10.3390/rs9020157
Publication date
2017
Document Version
Final published version
Published in
Remote Sensing
Citation (APA)
Faivre, R., Colin, J., & Menenti, M. (2017). Addendum: Evaluation of methods for aerodynamic roughness
length retrieval from very high-resolution imaging LIDAR observations over the Heihe Basin in China
[Remote Sens., 9, (2017) 63]. Remote Sensing, 9(2), [157]. https://doi.org/10.3390/rs9020157
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remote sensing
Addendum
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
Robin Faivre1,2,*, Jérôme Colin1and Massimo Menenti2,3
1 ICube Laboratory, UMR 7357 CNRS-University of Strasbourg, F-67412 Illkirch Cedex, France;
j.colin@unistra.fr
2 Department of Geoscience and Remote Sensing (GRS), Delft University of Technology, 2628 CN Delft,
The Netherlands; m.menenti@tudelft.nl
3 State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth,
Chinese Academy of Sciences, Beijing 100101, China * Correspondence: robin.faivre@unistra.fr
Academic Editor: Prasad S. Thenkabail
Received: 9 February 2017; Accepted: 10 February 2017; Published: 16 February 2017
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
1. 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.
c
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/).
