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The Innovation Informatics > 2026 Vol. 2 > No. 1 > 100023
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Towards intelligent digital ecological civilization: The rise of geospatial foundation models

  • 1.

    Moganshan Geospatial Information Laboratory, Hangzhou 313200, China

  • 2.

    National Geomatics Center of China, Beijing 100830, China

  • 3.

    Tudou Data Technology Group Co., Ltd., Beijing 100193, China

  • 4.

    Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham 03820, USA

  • 5.

    School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an 710072, China

  • 6.

    School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

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  • Corresponding author: zhangjx@casm.ac.cn 
  • Received Date:  October 09, 2025
    Accepted Date:  December 24, 2025
    Published Online:  December 26, 2025
The Innovation Informatics  2(1),  https://doi.org/10.59717/j.xinn-inform.2026.100023  |  Cite this article
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    • REFERENCES
  • [1] Hansen M., Li H. and Svarverud R. (2018). Ecological civilization: Interpreting the Chinese past, projecting the global future. Glob. Environ. Change 53:195−203. DOI:10.1016/j.gloenvcha.2018.09.014

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    [2] Guan Y., Qiang Y., Qu Y., et al. (2024). Environmental sustainability and beautiful China: A study of indicator identification and provincial evaluation. Environ. Impact Assess. Rev. 105:107452. DOI:10.1016/j.eiar.2024.107452

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    [3] Kavvada A., Metternicht G., Kerblat F., et al. (2020). Towards delivering on the sustainable development goals using earth observations. Remote Sens. Environ. 247:111930. DOI:10.1016/j.rse.2020.111930

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    [4] Koldasbayeva D., Tregubova P., Gasanov M., et al. (2024). Challenges in data-driven geospatial modeling for environmental research and practice. Nat. Commun. 15:10700. DOI:10.1038/s41467-024-55240-8

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    [5] Hong D., Li C., Zhang B., et al. (2024). Multimodal artificial intelligence foundation models: Unleashing the power of remote sensing big data in earth observation. Innov. Geosci. 2:100055. DOI:10.59717/j.xinn-geo.2024.100055

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  • Cite this article:

    Chang Y., Zhang J., Ding Y., et al. (2026). Towards intelligent digital ecological civilization: The rise of geospatial foundation models. The Innovation Informatics 2:100023. https://doi.org/10.59717/j.xinn-inform.2026.100023
    Chang Y., Zhang J., Ding Y., et al. (2026). Towards intelligent digital ecological civilization: The rise of geospatial foundation models. The Innovation Informatics 2:100023. https://doi.org/10.59717/j.xinn-inform.2026.100023

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