Ecology and Environment | Views:2052Downloads:3241CSCD:0

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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 recognition model has been selected to provide data support for photovoltaic site selection and ecological assessment.”
      • role：First author第一作者
      • Affiliation：

        College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      • Email：107552201159@stu.xju.edu.cn
      • Introduction：乔佳佳，研究方向为干旱区目标识别。E-mail： 107552201159@stu.xju.edu.cn

      QIAO Jiajia

      123,
      • role：Corresponding author通信作者
      • Affiliation：

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      • Email：yanmin@aircas.ac.cn
      • Introduction：闫敏，研究方向为植被生态与碳循环遥感。E-mail： yanmin@aircas.ac.cn

      YAN Min

      23 * ,
      • Affiliation：

        College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China

        Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China

      LIU Yongqiang

      14,
      • Affiliation：

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      ZHANG Li

      23,
      • Affiliation：

        Xinjiang Uygur Autonomous Region Natural Resources Planning and Research Institute (Xinjiang Uygur Autonomous Region Real Estate Registration Center), Urumqi 830011, China

      WU YIN

      5,
      • Affiliation：

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      CHEN Yiyang

      23,
      • Affiliation：

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      SHAO Wei

      23
    • Vol. 29, Issue 11, Pages: 3312-3326(2025)  

    • DOI：10.11834/jrs.20254192    

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