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Correction

Correction: Yang et al. Detecting Spatiotemporal Features and Rationalities of Urban Expansions within the Guangdong–Hong Kong–Macau Greater Bay Area of China from 1987 to 2017 Using Time-Series Landsat Images and Socioeconomic Data. Remote Sens. 2019, 11, 2215

1
Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China
2
College of Information Engineering, Shenzhen University, Shenzhen 518060, China
3
School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
4
College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(16), 4108; https://doi.org/10.3390/rs14164108
Submission received: 20 May 2021 / Accepted: 15 July 2022 / Published: 22 August 2022
The authors wish to make the following corrections to the paper [1].

1. Text Correction

There was a typing error in the original article in Section 3.1.1, Table 6 (Average column, average values of annual increase (AI) and expansion rate (ER)). It should have been as follows:
IndexCity1987–19971997–20072007–2017Average
ER (%)Guangzhou18.796.3911.4312.20
Shenzhen39.857.283.3216.82
Hong Kong3.684.691.083.15
Macau5.0313.540.716.43
Foshan26.3310.658.9415.31
Huizhou3.0746.005.8618.31
Jiangmen14.8319.619.5714.67
Zhongshan62.6224.454.8130.63
Dongguan63.0112.695.0326.91
Zhaoqing7.2731.947.5315.58
Zhuhai37.4125.517.9123.61
AI (km2)Guangzhou27.6127.0579.2844.65
Shenzhen26.9724.5719.3723.64
Hong Kong3.365.861.993.74
Macau0.250.990.120.45
Foshan27.5340.4670.1046.03
Huizhou1.4227.7319.7816.31
Jiangmen6.1620.2429.2518.55
Zhongshan10.6630.2420.5120.47
Dongguan29.0842.7638.4536.76
Zhaoqing2.1015.9115.7311.25
Zhuhai3.9312.7013.9810.20
AGR (%)Guangzhou11.155.077.928.05
Shenzhen17.435.622.918.65
Hong Kong3.193.921.032.71
Macau4.168.940.694.59
Foshan13.777.526.599.30
Huizhou2.7118.804.728.74
Jiangmen9.5211.476.959.31
Zhongshan21.9313.174.0113.03
Dongguan21.998.544.1611.56
Zhaoqing5.6115.425.778.93
Zhuhai16.8413.516.0012.12

2. Text Correction

There was a typing error in the original article in Section 3.1.1 (second paragraph, lines 9–12). In accordance with the correction to Table 6, the correct text is as follows:
A comparison of these 11 cities shows that the average ER of Shenzhen, Foshan, Huizhou, Zhongshan, Dongguan, Zhaoqing and Zhuhai exceeded 15%, particularly Dongguan, Zhongshan, and Zhuhai (greater than 20%). Moreover, Guangzhou, Shenzhen, Foshan and Dongguan, with a relatively large average AI, exceeded 23 km2, and the other cities were less than 20 km2.
The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original publication has also been updated.

Reference

  1. Yang, C.; Li, Q.; Zhao, T.; Liu, H.; Gao, W.; Shi, T.; Guan, M.; Wu, G. Detecting Spatiotemporal Features and Rationalities of Urban Expansions within the Guangdong–Hong Kong–Macau Greater Bay Area of China from 1987 to 2017 Using Time-Series Landsat Images and Socioeconomic Data. Remote Sens. 2019, 11, 2215. [Google Scholar] [CrossRef] [Green Version]
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MDPI and ACS Style

Yang, C.; Li, Q.; Zhao, T.; Liu, H.; Gao, W.; Shi, T.; Guan, M.; Wu, G. Correction: Yang et al. Detecting Spatiotemporal Features and Rationalities of Urban Expansions within the Guangdong–Hong Kong–Macau Greater Bay Area of China from 1987 to 2017 Using Time-Series Landsat Images and Socioeconomic Data. Remote Sens. 2019, 11, 2215. Remote Sens. 2022, 14, 4108. https://doi.org/10.3390/rs14164108

AMA Style

Yang C, Li Q, Zhao T, Liu H, Gao W, Shi T, Guan M, Wu G. Correction: Yang et al. Detecting Spatiotemporal Features and Rationalities of Urban Expansions within the Guangdong–Hong Kong–Macau Greater Bay Area of China from 1987 to 2017 Using Time-Series Landsat Images and Socioeconomic Data. Remote Sens. 2019, 11, 2215. Remote Sensing. 2022; 14(16):4108. https://doi.org/10.3390/rs14164108

Chicago/Turabian Style

Yang, Chao, Qingquan Li, Tianhong Zhao, Huizeng Liu, Wenxiu Gao, Tiezhu Shi, Minglei Guan, and Guofeng Wu. 2022. "Correction: Yang et al. Detecting Spatiotemporal Features and Rationalities of Urban Expansions within the Guangdong–Hong Kong–Macau Greater Bay Area of China from 1987 to 2017 Using Time-Series Landsat Images and Socioeconomic Data. Remote Sens. 2019, 11, 2215" Remote Sensing 14, no. 16: 4108. https://doi.org/10.3390/rs14164108

APA Style

Yang, C., Li, Q., Zhao, T., Liu, H., Gao, W., Shi, T., Guan, M., & Wu, G. (2022). Correction: Yang et al. Detecting Spatiotemporal Features and Rationalities of Urban Expansions within the Guangdong–Hong Kong–Macau Greater Bay Area of China from 1987 to 2017 Using Time-Series Landsat Images and Socioeconomic Data. Remote Sens. 2019, 11, 2215. Remote Sensing, 14(16), 4108. https://doi.org/10.3390/rs14164108

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