Correction: Mai et al. Improved Land Surface Phenology Detection in China’s Drylands and Associated Spatiotemporal Trends. Remote Sens. 2026, 18, 2073

Mai, Yongjian; Peng, Jie; Deng, Jianming; Tang, Dong; Li, Zifan; Kuang, Yaning

doi:10.3390/rs18173046

Open AccessCorrection

Correction: Mai et al. Improved Land Surface Phenology Detection in China’s Drylands and Associated Spatiotemporal Trends. Remote Sens. 2026, 18, 2073

by

Yongjian Mai

,

Jie Peng

^*

,

Jianming Deng

,

Dong Tang

,

Zifan Li

and

Yaning Kuang

State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou 730000, China

^*

Author to whom correspondence should be addressed.

Remote Sens. 2026, 18(17), 3046; https://doi.org/10.3390/rs18173046

Submission received: 24 July 2026 / Accepted: 6 August 2026 / Published: 7 September 2026

(This article belongs to the Special Issue Understanding Ecosystem Dynamics in Cold and Arid Regions Under Global Change: A Remote Sensing Perspective)

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Versions Notes

Error in Figure

In the original publication [1], there was a mistake in Figure 7 as published. Figure 7 (panels a, b, e, and f) inadvertently included the entire Tibetan Plateau when displaying the multi-year mean and temporal trends of SOS and LOS across China’s drylands. This is inconsistent with the study area, which explicitly excludes the entire Tibetan Plateau (Section 2.1). During revision, these four panels were mistakenly replaced with an outdated version that still included the Tibetan Plateau; all analyses and reported statistics were performed on the correct domain and are unaffected. The corrected Figure 7 appears below.

Text Correction

There was an error in the original publication. In Section 2.1 (Study Area), the study area description stated: “This study focuses on the main dryland regions of China, excluding the Tibetan arid zone.” However, the analytical domain used in the study excludes the entire Tibetan Plateau, not merely the arid zone within it.

A correction has been made to Section 2.1 (Study Area), Paragraph 2:

“This study focuses on the main dryland regions of China, excluding the entire Tibetan Plateau. Despite large parts of the plateau satisfying the aridity index criterion, it constitutes a climatically and ecologically distinct environment characterized by high-altitude, alpine conditions and vegetation assemblages that differ substantially from those of China’s other drylands. More importantly, the ground phenological observations available for this study do not cover the Tibetan Plateau, so the satellite-derived phenology could not be validated there. The plateau was therefore excluded to ensure the reliability of the reported results and analytical consistency across the study domain.”

The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

Mai, Y.; Peng, J.; Deng, J.; Tang, D.; Li, Z.; Kuang, Y. Improved Land Surface Phenology Detection in China’s Drylands and Associated Spatiotemporal Trends. Remote Sens. 2026, 18, 2073. [Google Scholar] [CrossRef] [Scilit]

Figure 7. Spatiotemporal patterns of SOS (a,b), EOS (c,d), and LOS (e,f) derived from MCD43A4 in drylands of China (2001–2024). Left column (a,c,e): Multi-year mean SOS, EOS, and LOS across China’s drylands. Right column (b,d,f): Temporal trends in SOS, EOS, and LOS. Note: This map was created based on the standard map downloaded from the Standard Map Service of the National Administration of Surveying, Mapping and Geoinformation, with approval number GS(2019)1822. The base map remains unmodified.

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MDPI and ACS Style

Mai, Y.; Peng, J.; Deng, J.; Tang, D.; Li, Z.; Kuang, Y. Correction: Mai et al. Improved Land Surface Phenology Detection in China’s Drylands and Associated Spatiotemporal Trends. Remote Sens. 2026, 18, 2073. Remote Sens. 2026, 18, 3046. https://doi.org/10.3390/rs18173046

AMA Style

Mai Y, Peng J, Deng J, Tang D, Li Z, Kuang Y. Correction: Mai et al. Improved Land Surface Phenology Detection in China’s Drylands and Associated Spatiotemporal Trends. Remote Sens. 2026, 18, 2073. Remote Sensing. 2026; 18(17):3046. https://doi.org/10.3390/rs18173046

Chicago/Turabian Style

Mai, Yongjian, Jie Peng, Jianming Deng, Dong Tang, Zifan Li, and Yaning Kuang. 2026. "Correction: Mai et al. Improved Land Surface Phenology Detection in China’s Drylands and Associated Spatiotemporal Trends. Remote Sens. 2026, 18, 2073" Remote Sensing 18, no. 17: 3046. https://doi.org/10.3390/rs18173046

APA Style

Mai, Y., Peng, J., Deng, J., Tang, D., Li, Z., & Kuang, Y. (2026). Correction: Mai et al. Improved Land Surface Phenology Detection in China’s Drylands and Associated Spatiotemporal Trends. Remote Sens. 2026, 18, 2073. Remote Sensing, 18(17), 3046. https://doi.org/10.3390/rs18173046

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Correction: Mai et al. Improved Land Surface Phenology Detection in China’s Drylands and Associated Spatiotemporal Trends. Remote Sens. 2026, 18, 2073

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