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Open Access

Correction

Correction: A hybrid machine learning framework for land use carbon accounting: A case study of Tanzania

  • Talemwa Byomutonzi Johansen,
  • Mwema Felix Mwema,
  • Silas Steven Mirau,
  • Verdiana Grace Masanja

There are errors in the author affiliations. The correct affiliations are as follows:

Talemwa Byomutonzi Johansen1, Mwema Felix Mwema2, Silas Steven Mirau1, Verdiana Grace Masanja1,3

1 School of Computational and Communication Science and Engineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania, 2 School of Materials, Energy, Water and Environmental Science, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania, 3 Department of Science Education, Kampala International University in Tanzania (KUIT), Dar es Salaam, Tanzania.

Reference

  1. 1. Johansen TB, Mwema MF, Mirau SS, Masanja VG (2026) A hybrid machine learning framework for land use carbon accounting: A case study of Tanzania. PLOS Clim 5(6): e0000952.

Citation: Johansen TB, Mwema MF, Mirau SS, Masanja VG (2026) Correction: A hybrid machine learning framework for land use carbon accounting: A case study of Tanzania. PLOS Clim 5(7): e0000993. https://doi.org/10.1371/journal.pclm.0000993

Published: July 7, 2026

Copyright: © 2026 Johansen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.