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The Innovation Geoscience > 2026 Vol. 4 > No. 1 > 100193
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Tracking global reforestation progress and patterns under sustainability agendas

  • 1.

    School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China

  • 2.

    Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China

  • 3.

    Ministry of Education Ecological Field Station for East Asian Migratory Birds, Department of Earth System Science, Tsinghua University, Beijing 100084, China

  • 4.

    Institute of Carbon Neutrality, Tsinghua University, Beijing 100084, China

  • 5.

    Department of Plant Biology and Ecology, College of Life Sciences, Nankai University, Tianjin 300071, China

  • 6.

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

  • 7.

    College of Land Science and Technology, China Agricultural University, Beijing 100083, China

  • 8.

    Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, Rome 00153, Italy

  • 9.

    International Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University, Nanjing 210023, China

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  • Corresponding author: leyu@tsinghua.edu.cn 
  • Received Date:  November 08, 2025
    Accepted Date:  January 12, 2026
    Published Online:  January 14, 2026
The Innovation Geoscience  4(1),  https://doi.org/10.59717/j.xinn-geo.2026.100193  |  Cite this article
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    • REFERENCES
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  • Cite this article:

    Du Z., Yu L., Li X., et al. (2026). Tracking global reforestation progress and patterns under sustainability agendas. The Innovation Geoscience 4:100193. https://doi.org/10.59717/j.xinn-geo.2026.100193
    Du Z., Yu L., Li X., et al. (2026). Tracking global reforestation progress and patterns under sustainability agendas. The Innovation Geoscience 4:100193. https://doi.org/10.59717/j.xinn-geo.2026.100193

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