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Link to original content: https://doi.org/10.3390/rs13061115
Correction: Min, S., et al. Recent Ground Subsidence in the North China Plain, China, Revealed by Sentinel-1A Datasets. Remote Sensing 2020, 12, 3579
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Correction

Correction: Min, S., et al. Recent Ground Subsidence in the North China Plain, China, Revealed by Sentinel-1A Datasets. Remote Sensing 2020, 12, 3579

1
Key Laboratory of Mechanism, Prevention and Mitigation of Land Subsidence, Capital Normal University, Beijing 100048, China
2
Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China
3
College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
4
Observation and Research Station of Groundwater and Land Subsidence in Beijing-Tianjin-Hebei Plain, Beijing 100048, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(6), 1115; https://doi.org/10.3390/rs13061115
Submission received: 9 February 2021 / Accepted: 10 February 2021 / Published: 15 March 2021
The authors wish to make the following corrections to this paper [1]:
In the original article, there was a mistake in Figure 3 as published. During the review process, the reviewer recommends using the percentages of the changes to replace the specific number changes of the area of subsidence exceeding 50 mm among the three sub-plains (Section 4.1, Paragraph 2). Therefore, we revised the relevant text based on the reviewer’s suggestion. Moreover, the specific number changes are shown by Figure 3c. However, due to our negligence, Figure 3c did not use the latest version in the online version. And which leads to the difference between the area of subsidence exceeding 50 mm in Figure 3c and the area of subsidence exceeding 50 mm in Paragraph 2 (Section 4.1). To avoid misunderstanding, we intend to revise Figure 3. The corrected Figure 3 appears below. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.
Replace
Figure 3. (a) Mean vertical displacement velocities throughout the NCP derived from the Sentinel-1A (S1A) data by using persistent scatterer interferometric synthetic aperture radar (PS-InSAR), (b) statistics of the subsidence rates at persistent scatterer (PS) points, (c) changes in the area with subsidence over 50 mm from 2016 to 2018, and (d) changes in the maximum subsidence rates from 2016 to 2018: PP, CP, and LP represent the piedmont alluvial-proluvial plain, central alluvial-lacustrine plain, and littoral plain, respectively.
Figure 3. (a) Mean vertical displacement velocities throughout the NCP derived from the Sentinel-1A (S1A) data by using persistent scatterer interferometric synthetic aperture radar (PS-InSAR), (b) statistics of the subsidence rates at persistent scatterer (PS) points, (c) changes in the area with subsidence over 50 mm from 2016 to 2018, and (d) changes in the maximum subsidence rates from 2016 to 2018: PP, CP, and LP represent the piedmont alluvial-proluvial plain, central alluvial-lacustrine plain, and littoral plain, respectively.
Remotesensing 13 01115 g003a
With
Figure 3. (a) Mean vertical displacement velocities throughout the NCP derived from the Sentinel-1A (S1A) data by using persistent scatterer interferometric synthetic aperture radar (PS-InSAR), (b) statistics of the subsidence rates at persistent scatterer (PS) points, (c) changes in the area with subsidence over 50 mm from 2016 to 2018, and (d) changes in the maximum subsidence rates from 2016 to 2018: PP, CP, and LP represent the piedmont alluvial-proluvial plain, central alluvial-lacustrine plain, and littoral plain, respectively.
Figure 3. (a) Mean vertical displacement velocities throughout the NCP derived from the Sentinel-1A (S1A) data by using persistent scatterer interferometric synthetic aperture radar (PS-InSAR), (b) statistics of the subsidence rates at persistent scatterer (PS) points, (c) changes in the area with subsidence over 50 mm from 2016 to 2018, and (d) changes in the maximum subsidence rates from 2016 to 2018: PP, CP, and LP represent the piedmont alluvial-proluvial plain, central alluvial-lacustrine plain, and littoral plain, respectively.
Remotesensing 13 01115 g003b

Conflicts of Interest

The authors declare no conflict of interest.

Reference

  1. Shi, M.; Gong, H.; Gao, M.; Chen, B.; Zhang, S.; Zhou, C. Recent Ground Subsidence in the North China Plain, China, Revealed by Sentinel-1A Datasets. Remote Sens. 2020, 12, 3579. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Shi, M.; Gong, H.; Gao, M.; Chen, B.; Zhang, S.; Zhou, C. Correction: Min, S., et al. Recent Ground Subsidence in the North China Plain, China, Revealed by Sentinel-1A Datasets. Remote Sensing 2020, 12, 3579. Remote Sens. 2021, 13, 1115. https://doi.org/10.3390/rs13061115

AMA Style

Shi M, Gong H, Gao M, Chen B, Zhang S, Zhou C. Correction: Min, S., et al. Recent Ground Subsidence in the North China Plain, China, Revealed by Sentinel-1A Datasets. Remote Sensing 2020, 12, 3579. Remote Sensing. 2021; 13(6):1115. https://doi.org/10.3390/rs13061115

Chicago/Turabian Style

Shi, Min, Huili Gong, Mingliang Gao, Beibei Chen, Shunkang Zhang, and Chaofan Zhou. 2021. "Correction: Min, S., et al. Recent Ground Subsidence in the North China Plain, China, Revealed by Sentinel-1A Datasets. Remote Sensing 2020, 12, 3579" Remote Sensing 13, no. 6: 1115. https://doi.org/10.3390/rs13061115

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