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Remote Sensing
Volume 17
Issue 16
10.3390/rs17162818
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Retraction of Remote Sens. 2021, 13(5), 1033.
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Retraction

RETRACTED: Gyamfi-Ampadu et al. Evaluating Multi-Sensors Spectral and Spatial Resolutions for Tree Species Diversity Prediction. Remote Sens. 2021, 13, 1033

by
Enoch Gyamfi-Ampadu
1,*,
Michael Gebreslasie
1 and
Alma Mendoza-Ponce
2
1
School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Westville Campus, Private Bag X54001, Durban 4000, South Africa
2
Centro de Ciencias de la Atmósfera, Ciudad Universitaria, Universidad Nacional Autónoma de México, Investigación Científica s/n, C.U., Coyoacán, Mexico City 04510, Mexico
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(16), 2818; https://doi.org/10.3390/rs17162818
Submission received: 16 June 2025 / Accepted: 25 June 2025 / Published: 14 August 2025
(This article belongs to the Section Forest Remote Sensing)
Versions Notes
The journal retracts the article titled “Evaluating Multi-Sensors Spectral and Spatial Resolutions for Tree Species Diversity Prediction” [1], cited above.
Following publication, the authors contacted the Editorial Office to raise concerns regarding an error in the modeling approach adopted for the analysis.
Adhering to our standard procedure, the Editorial Board evaluated the material provided by the authors and determined that the extent of the issue required a significant modification to the original publication, that could not appropriately be resolved by a correction. As a result, the Editorial Board has decided to retract this publication [1] as per MDPI’s retraction policy (https://www.mdpi.com/ethics#bookmark30).
This retraction was approved by the Editor-in-Chief of the journal Remote Sensing.
The authors did not provide a comment on this decision.

Reference

  1. Gyamfi-Ampadu, E.; Gebreslasie, M.; Mendoza-Ponce, A. RETRACTED: Evaluating Multi-Sensors Spectral and Spatial Resolutions for Tree Species Diversity Prediction. Remote Sens. 2021, 13, 1033. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

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MDPI and ACS Style

Gyamfi-Ampadu, E.; Gebreslasie, M.; Mendoza-Ponce, A. RETRACTED: Gyamfi-Ampadu et al. Evaluating Multi-Sensors Spectral and Spatial Resolutions for Tree Species Diversity Prediction. Remote Sens. 2021, 13, 1033. Remote Sens. 2025, 17, 2818. https://doi.org/10.3390/rs17162818

AMA Style

Gyamfi-Ampadu E, Gebreslasie M, Mendoza-Ponce A. RETRACTED: Gyamfi-Ampadu et al. Evaluating Multi-Sensors Spectral and Spatial Resolutions for Tree Species Diversity Prediction. Remote Sens. 2021, 13, 1033. Remote Sensing. 2025; 17(16):2818. https://doi.org/10.3390/rs17162818

Chicago/Turabian Style

Gyamfi-Ampadu, Enoch, Michael Gebreslasie, and Alma Mendoza-Ponce. 2025. "RETRACTED: Gyamfi-Ampadu et al. Evaluating Multi-Sensors Spectral and Spatial Resolutions for Tree Species Diversity Prediction. Remote Sens. 2021, 13, 1033" Remote Sensing 17, no. 16: 2818. https://doi.org/10.3390/rs17162818

APA Style

Gyamfi-Ampadu, E., Gebreslasie, M., & Mendoza-Ponce, A. (2025). RETRACTED: Gyamfi-Ampadu et al. Evaluating Multi-Sensors Spectral and Spatial Resolutions for Tree Species Diversity Prediction. Remote Sens. 2021, 13, 1033. Remote Sensing, 17(16), 2818. https://doi.org/10.3390/rs17162818

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