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    • Deep Learning for photovoltaic station identification and its effect on vegetation spatial aggregation

    • New progress has been made in the study of the distribution and vegetation impact of photovoltaic power stations in Xinjiang. Based on deep learning models, the optimal identification scheme has been screened to provide data support for photovoltaic site selection and ecological assessment.
    • Vol. 29, Issue 11, Pages: 3312-3326(2025)   

      Received:23 May 2024

      Published:07 November 2025

    • DOI: 10.11834/jrs.20254192     

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  • Qiao J J,Yan M,Liu Y Q,Zhang L,Wu Y,Chen Y Y and Shao W. 2025. Deep Learning for photovoltaic station identification and its effect on vegetation spatial aggregation. National Remote Sensing Bulletin, 29(11):3312-3326 DOI: 10.11834/jrs.20254192.
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