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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 1,2, 1,†, 1,†, 1,*, 3, 4, 1,† and 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.
Academic Editor: Prasad S. Thenkabail
Remote Sens. 2017, 9(10), 1039; https://doi.org/10.3390/rs9101039
Received: 7 August 2017 / Revised: 23 September 2017 / Accepted: 23 September 2017 / Published: 11 October 2017
After publication of the research paper [1], it was found that funding information was missing from the Acknowledgment part [...]
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MDPI and ACS 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 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; Cao, Biao; Li, Hua; Du, Yongming; Song, Lisheng; Fan, Wenjie; Xiao, Qing; Liu, Qinhuo. 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 Sens. 9, no. 10: 1039. https://doi.org/10.3390/rs9101039

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