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    • Temporal and spatial monitoring of forest pest and disease disasters based on Landsat 8 satellite time-series images

      • role:First author第一作者
      • Affiliation:

        Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

        Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China

      • Email:senlinmu@caf.ac.cn
      • Introduction:张浩芫,研究方向为林业遥感。E-mail: senlinmu@caf.ac.cn

      ZHANG Haoyan

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

        Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

        Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China

      • Email:lism@ifrit.ac.cn
      • Introduction:李世明,研究方向为林业遥感。E-mail: lism@ifrit.ac.cn

      LI Shiming

      * ,
      • Affiliation:

        Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

        Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China

      QI Zhiyong

      ,
      • Affiliation:

        Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

        Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China

      LIU Qing

      ,
      • Affiliation:

        Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

        Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China

      PANG Yong

      ,
      • Affiliation:

        Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

        Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China

      LI Zengyuan

    • Vol. 29, Issue 9, Pages: 2748-2764(2025)  
    • DOI:10.11834/jrs.20244120    

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School of Information Engineering, China University of Geosciences
Institute of Remote Sensing Applications, CAS