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Erratum

Erratum: Mumtaz, F., et al. Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST). Remote Sens. 2020, 12, 2987

1
Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100101, China
2
University of Chinese Academy of Sciences (UCAS), Beijing 101408, China
3
School of Remote Sensing and Information Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China
4
Hebei Collaborative Innovation Center for Aerospace Remote Sensing Information Processing and Application, Langfang 065000, China
5
Royal Netherlands Meteorological Institute (KNMI), R&D Satellite Observations, 3731GA De Bilt, The Netherlands
6
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
7
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
8
Department of Natural Resources, Faculty of African Postgraduate Studies, Cairo University, Giza 12613, Egypt
9
Institute of Geographical Sciences and Natural Resources Research (IGSNRR), Beijing 100101, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(1), 61; https://doi.org/10.3390/rs13010061
Submission received: 21 December 2020 / Accepted: 21 December 2020 / Published: 26 December 2020
The authors wish to make the following corrections to this paper [1]:

1. Change in Author Names (Add 1 New Author)

In the original version of our paper [1], **Dakang Wang** was not included as an author. Dr. Dakang Wang help us to review and modify our article at the stage of major revision. He helped us with formal analysis and added new data required from the Reviewers. However, at that stage we were not aware of how to add a new author etc. So we missed his name. Please accept our apologies and allow us to add a new author name.
Faisal Mumtaz 1,2, Yu Tao 1,2,3,4,*, Gerrit de Leeuw 5,6, Limin Zhao 1,2, Cheng Fan 2,6, Abdelrazek Elnashar 2,7,8, Barjeece Bashir 1,2, Gengke Wang 1,2,3, LingLing Li 1,2, Shahid Naeem 9, Arfan Arshad 1,2 and Dakang Wang 1,2

2. Change in Author Contributions

Conceptualization, F.M.; Data curation, F.M. and B.B.; Formal analysis, D.W.; C.F. and B.B.; Funding acquisition, T.Y.; Investigation, F.M.; Methodology, F. M., D.W., G.d.L. and Z.L.; Project administration, T.Y.; Resources, A.E.; Software, C.F.; Supervi-sion, T.Y.; Validation, A.E.; Visualization, G.d.L. and A.E.; Writing—original draft, T.Y.; Writing—review & editing, G.d.L., G.W., L.L., S.N., D.W. and A.A. All authors have read and agreed to the published version of the manuscript.

Reference

  1. Mumtaz, F.; Tao, Y.; de Leeuw, G.; Zhao, L.; Fan, C.; Elnashar, A.; Bashir, B.; Wang, G.; Li, L.; Naeem, S.; et al. Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST). Remote Sens. 2020, 12, 2987. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Mumtaz, F.; Tao, Y.; de Leeuw, G.; Zhao, L.; Fan, C.; Elnashar, A.; Bashir, B.; Wang, G.; Li, L.; Naeem, S.; et al. Erratum: Mumtaz, F., et al. Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST). Remote Sens. 2020, 12, 2987. Remote Sens. 2021, 13, 61. https://doi.org/10.3390/rs13010061

AMA Style

Mumtaz F, Tao Y, de Leeuw G, Zhao L, Fan C, Elnashar A, Bashir B, Wang G, Li L, Naeem S, et al. Erratum: Mumtaz, F., et al. Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST). Remote Sens. 2020, 12, 2987. Remote Sensing. 2021; 13(1):61. https://doi.org/10.3390/rs13010061

Chicago/Turabian Style

Mumtaz, Faisal, Yu Tao, Gerrit de Leeuw, Limin Zhao, Cheng Fan, Abdelrazek Elnashar, Barjeece Bashir, Gengke Wang, LingLing Li, Shahid Naeem, and et al. 2021. "Erratum: Mumtaz, F., et al. Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST). Remote Sens. 2020, 12, 2987" Remote Sensing 13, no. 1: 61. https://doi.org/10.3390/rs13010061

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