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    • Spatial scale expansion method for fractional vegetation cover based on multi-resolution tree fusion

    • “Vegetation coverage FVC is an important parameter that characterizes the status of surface vegetation, and FVC with consistent spatial scales is an important basic data for comprehensive monitoring of ecosystems. The research team proposed a FVC spatial scale consistency extension method based on the MRT algorithm framework, which integrates "scale effect error constraints, trend surface preservation, and collaborative estimation of intermediate scale state variables". This provides a solution to the problems of traditional MRT algorithm error modeling lacking physical basis, unreasonable state variable mean assumptions, and insufficient reliability of intermediate scale extension.”
      • role：First author第一作者
      • Affiliation：

        Advanced Interdisciplinary Institute of Satellite Applications/State Key Laboratory of Earth Surface Process and Disaster Risk Reduction, Beijing Normal University, Beijing 100875, China

      • Email：xuweiye2000@163.com
      • Introduction：徐为业，研究方向为植被定量遥感。E-mail： xuweiye2000@163.com

      XU Weiye

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

        Advanced Interdisciplinary Institute of Satellite Applications/State Key Laboratory of Earth Surface Process and Disaster Risk Reduction, Beijing Normal University, Beijing 100875, China

      • Email：jiakun@bnu.edu.cn
      • Introduction：贾坤，研究方向为生态遥感、即时遥感。E-mail：jiakun@bnu.edu.cn

      JIA Kun

      * ,
      • Affiliation：

        Advanced Interdisciplinary Institute of Satellite Applications/State Key Laboratory of Earth Surface Process and Disaster Risk Reduction, Beijing Normal University, Beijing 100875, China

      SUN Wenqian

      ,
      • Affiliation：

        Advanced Interdisciplinary Institute of Satellite Applications/State Key Laboratory of Earth Surface Process and Disaster Risk Reduction, Beijing Normal University, Beijing 100875, China

      ZHAO Linlin

    • Vol. 30, Issue 8, Pages: 2395-2406(2026)  

    • DOI：10.11834/jrs.20265522    

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