Correction to: Remote sensing drought factor integration based on machine learning can improve the estimation of drought in arid and semi-arid regions

Zhang, Junyong; Ding, Jianli; Wang, Jinjie; Lin, Hua; Han, Lijing; Li, Xiaohang; Liu, Jie

doi:10.1007/s00704-023-04379-3

Correction to: Remote sensing drought factor integration based on machine learning can improve the estimation of drought in arid and semi-arid regions

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Published: 31 January 2023

Volume 151, page 1771, (2023)
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Correction to: Remote sensing drought factor integration based on machine learning can improve the estimation of drought in arid and semi-arid regions

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Junyong Zhang^1,2,3,
Jianli Ding^1,2,3,4,
Jinjie Wang^1,2,3,
Hua Lin⁵,
Lijing Han^1,2,3,
Xiaohang Li^1,2,3 &
…
Jie Liu^1,2,3

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The Original Article was published on 06 January 2023

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Correction to: Theoretical and Applied Climatology

https://doi.org/10.1007/s00704-022-04305-z

In this article, Fig. 13 is wrong due to an oversight.

The original article has been corrected.

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Authors and Affiliations

College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, 830017, China
Junyong Zhang, Jianli Ding, Jinjie Wang, Lijing Han, Xiaohang Li & Jie Liu
Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, 830017, China
Junyong Zhang, Jianli Ding, Jinjie Wang, Lijing Han, Xiaohang Li & Jie Liu
Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, Xinjiang University, Urumqi, 830017, China
Junyong Zhang, Jianli Ding, Jinjie Wang, Lijing Han, Xiaohang Li & Jie Liu
Technology Innovation Center for Central Asia Geo-Information Exploitation and Utilization, Ministry of Natural Resources, Xinjiang University, Urumqi, 830046, China
Jianli Ding
School of Economics and Management, University of Chinese Academy of Sciences, Zhongguancun Nansantiao, Haidian District, Beijing, 100190, China
Hua Lin

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Junyong Zhang
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Jianli Ding
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Jinjie Wang
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Hua Lin
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Lijing Han
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Xiaohang Li
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Jie Liu
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Correspondence to Jianli Ding.

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Zhang, J., Ding, J., Wang, J. et al. Correction to: Remote sensing drought factor integration based on machine learning can improve the estimation of drought in arid and semi-arid regions. Theor Appl Climatol 151, 1771 (2023). https://doi.org/10.1007/s00704-023-04379-3

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Published: 31 January 2023
Issue Date: February 2023
DOI: https://doi.org/10.1007/s00704-023-04379-3

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Correction to: Remote sensing drought factor integration based on machine learning can improve the estimation of drought in arid and semi-arid regions

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