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    • Remote sensing analysis of spatiotemporal changes in global cropland water-use efficiency toward the sustainable development goals

    • “The study is based on global farmland water use efficiency (WUE) remote sensing data from 2001 to 2024, revealing a significant upward trend in global farmland water use efficiency, with NPP as the dominant driving factor. The improvement of global farmland WUE mainly relies on agricultural yield increase rather than water consumption decrease, and the coexistence of productivity increase and water consumption decrease is still limited in certain areas. This provides scientific support for the assessment of sustainable agricultural development and regional adaptive water resource management.”
      • role：First author第一作者
      • Affiliation：

        State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

      • Email：jiangmin@aircas.ac.cn
      • Introduction：蒋敏，主要从事全球变化和水循环遥感、土地利用变化及其环境效应等研究。E-mail：jiangmin@aircas.ac.cn

      JIANG Min

      1,
      • Affiliation：

        State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

      ZHENG Chaolei

      1,
      • Affiliation：

        State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

        Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang 571300, China

      LU Jing

      12,
      • Affiliation：

        State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

      HU Guangcheng

      1,
      • role：Corresponding author通信作者
      • Affiliation：

        State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

      • Email：jiali@aircas.ac.cn
      • Introduction：贾立，主要从事定量遥感及其在陆地系统能量平衡、水循环与全球变化领域的应用研究。E-mail：jiali@aircas.ac.cn

      JIA Li

      1 *
    • Pages: 1-18(2026)  

    • DOI：10.11834/jrs.20266327    

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