Addendum: Bian, Z. et al. A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index. Remote Sens. 2017, 9, 780

Bian, Zunjian; Cao, Biao; Li, Hua; Du, Yongming; Song, Lisheng; Fan, Wenjie; Xiao, Qing; Liu, Qinhuo

doi:10.3390/rs9101039

Open AccessAddendum

Addendum: Bian, Z. et al. A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index. Remote Sens. 2017, 9, 780

by

Zunjian Bian

^1,2,

Biao Cao

^1,†,

Hua Li

^1,†,

Yongming Du

^1,*,

Lisheng Song

³,

Wenjie Fan

⁴,

Qing Xiao

^1,† and

Qinhuo Liu

^1,*

¹

State Key Laboratory of Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 10010, China

²

College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

³

Chongqing Key Laboratory of Karst Environment School of Geographical Sciences, Southwest University, Chongqing 400712, China

⁴

Institute of RS and GIS, Peking University, Beijing 100871, China

^*

Authors to whom correspondence should be addressed.

^†

These authors contributed equally to this work.

Remote Sens. 2017, 9(10), 1039; https://doi.org/10.3390/rs9101039

Submission received: 7 August 2017 / Revised: 23 September 2017 / Accepted: 23 September 2017 / Published: 11 October 2017

Download Versions Notes

After publication of the research paper [1], it was found that funding information was missing from the Acknowledgment part. We subsequently addressed this point by a revision, as shown below.

The authors would like to apologize for any inconvenience caused. The change does 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.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (41501366, 41571359, 41571357, 41571329 and 41671366), and the Major State Basic Research Development Program of China (2013CB733401). The ground data and airborne observations used in this study were obtained from the HiWATER and Huailai experiments, and the authors thank all of the scientists, engineers, and students who participated in the HiWATER and Huailai campaigns.

Reference

Bian, Z.; Cao, B.; Li, H.; Du, Y.; Song, L.; Fan, W.; Xiao, Q.; Liu, Q. A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index. Remote Sens. 2017, 9, 780. [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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Bian, Z.; Cao, B.; Li, H.; Du, Y.; Song, L.; Fan, W.; Xiao, Q.; Liu, Q. Addendum: Bian, Z. et al. A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index. Remote Sens. 2017, 9, 780. Remote Sens. 2017, 9, 1039. https://doi.org/10.3390/rs9101039

AMA Style

Bian Z, Cao B, Li H, Du Y, Song L, Fan W, Xiao Q, Liu Q. Addendum: Bian, Z. et al. A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index. Remote Sens. 2017, 9, 780. Remote Sensing. 2017; 9(10):1039. https://doi.org/10.3390/rs9101039

Chicago/Turabian Style

Bian, Zunjian, Biao Cao, Hua Li, Yongming Du, Lisheng Song, Wenjie Fan, Qing Xiao, and Qinhuo Liu. 2017. "Addendum: Bian, Z. et al. A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index. Remote Sens. 2017, 9, 780" Remote Sensing 9, no. 10: 1039. https://doi.org/10.3390/rs9101039

APA Style

Bian, Z., Cao, B., Li, H., Du, Y., Song, L., Fan, W., Xiao, Q., & Liu, Q. (2017). Addendum: Bian, Z. et al. A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index. Remote Sens. 2017, 9, 780. Remote Sensing, 9(10), 1039. https://doi.org/10.3390/rs9101039

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Addendum: Bian, Z. et al. A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index. Remote Sens. 2017, 9, 780

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