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    • Deep Learning for Photovoltaic Station Identification and Its Impact on Vegetation Spatial Aggregation

    • Progress has been made in the study of the distribution and vegetation impact of photovoltaic power stations in Xinjiang. The accuracy of photovoltaic power station identification based on deep learning models has reached 98.64%, providing data support for photovoltaic site selection and ecological assessment.
    • Pages: 1-14(2025)   

      Published Online:15 May 2025

    • DOI: 10.11834/jrs.20254192     

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  • QIAO Jiajia,YAN Min,LIU Yongqiang,ZHANG Li,WU YIN,CHEN Yiyang,SHAO Wei. XXXX. Deep Learning for Photovoltaic Station Identification and Its Impact on Vegetation Spatial Aggregation. National Remote Sensing Bulletin, XX(XX):1-14 DOI: 10.11834/jrs.20254192.
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