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
Submission received: 10 April 2019
/
Accepted: 15 April 2019
/
Published: 18 April 2019
(This article belongs to the Special Issue Land Surface Phenology )
The authors wish to make the following corrections to this paper [1]:
The authors wish to modify eight figures by removing the background country boundaries (graphical abstract, Figure 1, Figure 2, Figure 5, Figure 7, Figure 8, Figure 9, and Figure 11):
Old graphical abstract:
Revised graphical abstract:
Old Figure 1:
Figure 1.
The vegetation map of the study area derived from the Globcover2009 dataset.
Revised Figure 1:
Figure 1.
The vegetation map of the study area derived from the Globcover2009 dataset.
Old Figure 2:
Figure 2.
The percentage of cloud cover from 2000 to 2016 during the southwest monsoon season (June to September) (a) and the post-monsoon season (October to November) (b) in MOD09A1. The black points are the locations of the eight examples shown in Figure 3.
Figure 2.
The percentage of cloud cover from 2000 to 2016 during the southwest monsoon season (June to September) (a) and the post-monsoon season (October to November) (b) in MOD09A1. The black points are the locations of the eight examples shown in Figure 3.
Revised Figure 2:
Figure 2.
The percentage of cloud cover from 2000 to 2016 during the southwest monsoon season (June to September) (a) and the post-monsoon season (October to November) (b) in MOD09A1. The black points are the locations of the eight examples shown in Figure 3.
Figure 2.
The percentage of cloud cover from 2000 to 2016 during the southwest monsoon season (June to September) (a) and the post-monsoon season (October to November) (b) in MOD09A1. The black points are the locations of the eight examples shown in Figure 3.
Old Figure 5:
Figure 5.
The spatial distribution of Count90 for three different data sources in 2006: (a) MOD09A1_C5, (b) MOD09A1_C6, and (c) IBCD_C6. The black point indicates the location of Figure 6.
Figure 5.
The spatial distribution of Count90 for three different data sources in 2006: (a) MOD09A1_C5, (b) MOD09A1_C6, and (c) IBCD_C6. The black point indicates the location of Figure 6.
Revised Figure 5:
Figure 5.
The spatial distribution of Count90 for three different data sources in 2006: (a) MOD09A1_C5, (b) MOD09A1_C6, and (c) IBCD_C6. The black point indicates the location of Figure 6.
Figure 5.
The spatial distribution of Count90 for three different data sources in 2006: (a) MOD09A1_C5, (b) MOD09A1_C6, and (c) IBCD_C6. The black point indicates the location of Figure 6.
Old Figure 7:
Figure 7.
The SOS in the Indian monsoon region from 2000 to 2016.
Revised Figure 7:
Figure 7.
The SOS in the Indian monsoon region from 2000 to 2016.
Old Figure 8:
Figure 8.
The mean SOS (a,d), standard deviation (b,e), and difference between the maximum and minimum SOS (e,f) in the Indian monsoon region from 2000 to 2016. (a–c) are calculated from SOS with QC > 1, and (d–f) are calculated from SOS with QC > 2.
Figure 8.
The mean SOS (a,d), standard deviation (b,e), and difference between the maximum and minimum SOS (e,f) in the Indian monsoon region from 2000 to 2016. (a–c) are calculated from SOS with QC > 1, and (d–f) are calculated from SOS with QC > 2.
Revised Figure 8:
Figure 8.
The mean SOS (a,d), standard deviation (b,e), and difference between the maximum and minimum SOS (e,f) in the Indian monsoon region from 2000 to 2016. (a–c) are calculated from SOS with QC > 1, and (d–f) are calculated from SOS with QC > 2.
Figure 8.
The mean SOS (a,d), standard deviation (b,e), and difference between the maximum and minimum SOS (e,f) in the Indian monsoon region from 2000 to 2016. (a–c) are calculated from SOS with QC > 1, and (d–f) are calculated from SOS with QC > 2.
Old Figure 9:
Figure 9.
(a) The SOS derived from MERIS Terrestrial Chlorophyll Index data in 2006 (the croplands with more than one growing season were masked), (b) the SOS from the GLOBMAP-IndianSOS product in 2006, and (c) the density scatterplot of these two products.
Figure 9.
(a) The SOS derived from MERIS Terrestrial Chlorophyll Index data in 2006 (the croplands with more than one growing season were masked), (b) the SOS from the GLOBMAP-IndianSOS product in 2006, and (c) the density scatterplot of these two products.
Revised Figure 9:
Figure 9.
(a) The SOS derived from MERIS Terrestrial Chlorophyll Index data in 2006 (the croplands with more than one growing season were masked), (b) the SOS from the GLOBMAP-IndianSOS product in 2006, and (c) the density scatterplot of these two products.
Figure 9.
(a) The SOS derived from MERIS Terrestrial Chlorophyll Index data in 2006 (the croplands with more than one growing season were masked), (b) the SOS from the GLOBMAP-IndianSOS product in 2006, and (c) the density scatterplot of these two products.
Old Figure 11:
Figure 11.
(a) The counts of valid SOS retrievals in the MOD12Q2 product from 2001 to 2014, (b) the SOS in the MOD12Q2 product in 2006, (c) the counts of valid SOS retrievals in the GLOBMAP-IndianSOS product with QC > 1 from 2001 to 2014, and (d) the counts of valid SOS retrievals in the GLOBMAP-IndianSOS product with QC > 2 from 2001 to 2014.
Figure 11.
(a) The counts of valid SOS retrievals in the MOD12Q2 product from 2001 to 2014, (b) the SOS in the MOD12Q2 product in 2006, (c) the counts of valid SOS retrievals in the GLOBMAP-IndianSOS product with QC > 1 from 2001 to 2014, and (d) the counts of valid SOS retrievals in the GLOBMAP-IndianSOS product with QC > 2 from 2001 to 2014.
Revised Figure 11:
Figure 11.
(a) The counts of valid SOS retrievals in the MOD12Q2 product from 2001 to 2014, (b) the SOS in the MOD12Q2 product in 2006, (c) the counts of valid SOS retrievals in the GLOBMAP-IndianSOS product with QC > 1 from 2001 to 2014, (d) the counts of valid SOS retrievals in the GLOBMAP-IndianSOS product with QC > 2 from 2001 to 2014.
Figure 11.
(a) The counts of valid SOS retrievals in the MOD12Q2 product from 2001 to 2014, (b) the SOS in the MOD12Q2 product in 2006, (c) the counts of valid SOS retrievals in the GLOBMAP-IndianSOS product with QC > 1 from 2001 to 2014, (d) the counts of valid SOS retrievals in the GLOBMAP-IndianSOS product with QC > 2 from 2001 to 2014.
The above 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 correction. The authors would like to apologize for any inconvenience caused.
Reference
- 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. [Google Scholar] [CrossRef]
© 2019 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/).
Share and Cite
MDPI and ACS Style
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. https://doi.org/10.3390/rs11080939
AMA Style
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 Sensing. 2019; 11(8):939. https://doi.org/10.3390/rs11080939
Chicago/Turabian StyleShang, Rong, Ronggao Liu, Mingzhu Xu, Yang Liu, Jadunandan Dash, and Quansheng Ge. 2019. "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 Sensing 11, no. 8: 939. https://doi.org/10.3390/rs11080939
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
