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Correction of Remote Sens. 2017, 9(1), 35.

Open AccessCorrection
Remote Sens. 2017, 9(8), 849; doi:10.3390/rs9080849

Correction: Yao, P. et al. Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopted the Microwave Vegetation Index. Remote Sens. 2017, 9, 35

1
Graduate School of University of Chinese Academy of Sciences, Beijing 100049, China
2
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
3
The Joint Center for Global Change Studies, Beijing 100875, China
4
Ministry of Education Key Laboratory for Earth System Modeling, and Department of Earth System Science, Tsinghua University, Beijing 100084, China
5
INRA, UMR1391 ISPA, 33140 Villenave d’Ornon, France
*
Author to whom correspondence should be addressed.
Received: 10 August 2017 / Revised: 14 August 2017 / Accepted: 14 August 2017 / Published: 16 August 2017
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Note: In lieu of an abstract, this is an excerpt from the first page.

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After publication of the research paper [1], the authors wish to make the following correction to this paper. In the fourth line from the bottom in abstract, due to a typing error, “RMSE = 0.84 m3/m3” should be replaced with “RMSE = 0.084 m3/m3”.[...] View Full-Text
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Yao, P.; Shi, J.; Zhao, T.; Lu, H.; Al-Yaari, A. Correction: Yao, P. et al. Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopted the Microwave Vegetation Index. Remote Sens. 2017, 9, 35. Remote Sens. 2017, 9, 849.

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