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    • Three-dimensional radiative transfer modeling and yellow leaf disease severity identification in areca plantations

    • “Multi spectral remote sensing data can effectively monitor betel nut yellowing disease at a pixel scale of 10 meters. The research team constructed 65536 simulated images of betel nut plots, verifying that removing background vegetation index classification accuracy is better, providing technical support for rapid identification and early warning of regional scale diseases.”
      • role：First author第一作者
      • Affiliation：

        Forest College, Beijing Forestry University, Beijing 100083, China

      • Email：danyang0802@163.com
      • Introduction：林丹阳，研究方向为林业遥感技术应用。E-mail： danyang0802@163.com

      LIN Danyang

      1,
      • Affiliation：

        College of Forestry, Southwest Forestry University, Kunming 650224, China

      ZHAO Xun

      2,
      • Affiliation：

        Northwest Survey and Planning Institute, National Forestry and Grassland Administration, Xi'an 710048, China

      ZHANG Ding

      3,
      • Affiliation：

        Northwest Survey and Planning Institute, National Forestry and Grassland Administration, Xi'an 710048, China

      LIU Weiyan

      3,
      • Affiliation：

        Forest College, Beijing Forestry University, Beijing 100083, China

      YU Shiyou

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

        Forest College, Beijing Forestry University, Beijing 100083, China

      • Email：huaguo_huang@bjfu.edu.cn
      • Introduction：黄华国，研究方向为植被定量遥感。E-mail： huaguo_huang@bjfu.edu.cn

      HUANG Huaguo

      1 *
    • Vol. 30, Issue 8, Pages: 2435-2450(2026)  

    • DOI：10.11834/jrs.20265335    

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