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Remote Sensing
  • Retraction
  • Open Access

14 August 2025

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

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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.
This article belongs to the Section Forest Remote Sensing
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]
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