Correction: Zhao, H., et al. Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization. Remote Sensing 2020, 12, 1930

Hengqian Zhao; Chenghai Yang; Wei Guo; Lifu Zhang; Dongyan Zhang

doi:10.3390/rs12223761

,

and

¹

College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China

²

State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing 100083, China

³

United States Department of Agriculture-Agricultural Research Service, Aerial Application Technology Research Unit, College Station, TX 77845, USA

⁴

Anhui Engineering Laboratory of Agro-Ecological Big Data, Anhui University, Hefei 230601, Anhui, China

Remote Sens.2020, 12(22), 3761;https://doi.org/10.3390/rs12223761

Version Notes

Order Reprints

The authors wish to make the following correction to this paper []. Formula (1)

X_{norm} = \frac{X - X_{\min}}{X_{\max} - X_{\min}}

(1)

should be replaced with

X_{norm} = \frac{X_{\max} - X}{X_{\max} - X_{\min}}

(1)

The authors would like to apologize for any inconvenience caused to the readers by these changes.

References

Zhao, H.; Yang, C.; Guo, W.; Zhang, L.; Zhang, D. Automatic estimation of crop disease severity levels based on vegetation index normalization. Remote Sens. 2020, 12, 1930. [Google Scholar] [CrossRef]

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Correction: Zhao, H., et al. Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization. Remote Sensing 2020, 12, 1930

References

Article Metrics

Citations

Article Access Statistics