Fu et al. (2026) Corrigendum to “SCARF: A new algorithm for continuous prediction of biomass dynamics using machine learning and Landsat time series” [Remote Sens. Environ. 314 (2024), 114348]

Identification

• Journal: Remote Sensing of Environment
• Year: 2026
• Date: 2026-09-01
• Authors: Yingchun Fu, Runhao Li, Zhe Zhu, Yufei Xue, Hu Ding, Xinyu Wang, Jiaming Na, Weijie Xia
• DOI: 10.1016/j.rse.2026.115691

Research Groups

• School of Geography, South China Normal University (Guangzhou, China)
• Department of Natural Resources and the Environment, University of Connecticut (Storrs, CT, USA)
• College of Civil Engineering, Nanjing Forestry University (Nanjing, China)
• China Water Resources Pearl River Planning, Surveying and Designing Co., Ltd. (Guangzhou, China)
• Guangdong Center for Marine Development Research (Guangzhou, China)
• Research Institute of Survey and Design of China Power Construction Group (Kunming, China)

Short Summary

This corrigendum corrects the base maps used in Fig. 1 of a previous paper on biomass dynamics prediction using machine learning and Landsat time series data, ensuring compliance with official Chinese cartographic regulations.

Objective

• Correct the cartographic inaccuracies in the original publication's Fig. 1 without affecting the scientific methodology or conclusions.

Study Configuration

• Spatial Scale: National scale (China) and provincial scale (Guangdong Province)
• Temporal Scale: Not applicable, as this is a corrigendum correcting a specific figure rather than presenting new results

Methodology and Data

• Models used: None, as this is a correction to the original publication's figures
• Data sources: The same Landsat time series data and machine learning models used in the original paper

Main Results

• Corrected Fig. 1 with accurate and complete official geographical reference source for the study area maps

Contributions

• This corrigendum ensures the accuracy and integrity of the scientific record by correcting a cartographic error that did not affect the scientific methodology or conclusions.

Funding

• Not applicable, as this is a correction to an existing publication rather than new research

Citation

@article{Fu2026Corrigendum,
  author = {Fu, Yingchun and Li, Runhao and Zhu, Zhe and Xue, Yufei and Ding, Hu and Wang, Xinyu and Na, Jiaming and Xia, Weijie},
  title = {Corrigendum to “SCARF: A new algorithm for continuous prediction of biomass dynamics using machine learning and Landsat time series” [Remote Sens. Environ. 314 (2024), 114348]},
  journal = {Remote Sensing of Environment},
  year = {2026},
  doi = {10.1016/j.rse.2026.115691},
  url = {https://doi.org/10.1016/j.rse.2026.115691}
}