Remote Sensing Applications | Views:232Downloads:59CSCD:0

  • Export

  • Collection

  • Album

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

    • “Multispectral remote sensing data has made significant progress in the monitoring of betel nut yellowing disease. The research team has constructed 65536 betel nut plots of different yellowing types and verified the disease grading identification method at a 10 meter pixel scale, providing technical support for rapid identification and early warning of diseases at the regional scale.”
      • 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    

    Scan QR Code

    Scan QR Code

  • Quote

    Translate The Full Text

  •  
  •  

  • Full Text(HTML)

  • Figs( 24 ) Tabs( 5 )

  • References

  • Publication Info

  • Metrics

Alert me when the article has been cited
Submit