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Correction: Shang, R.; Liu, R.; Xu, M.; Liu, Y.; Dash, J.; Ge, Q. Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories, Remote Sens. 2018, 10, 122

1
State key Laboratory of Resources and Environmental Information system, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
4
Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(8), 939; https://doi.org/10.3390/rs11080939
Received: 10 April 2019 / Accepted: 15 April 2019 / Published: 18 April 2019
(This article belongs to the Special Issue Land Surface Phenology)
Note: In lieu of an abstract, this is an excerpt from the first page.

The authors wish to make the following corrections to this paper [...] View Full-Text
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Shang, R.; Liu, R.; Xu, M.; Liu, Y.; Dash, J.; Ge, Q. Correction: Shang, R.; Liu, R.; Xu, M.; Liu, Y.; Dash, J.; Ge, Q. Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories, Remote Sens. 2018, 10, 122. Remote Sens. 2019, 11, 939.

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