Atmosphere and Ocean | Views : 0 下载量: 149 CSCD: 0 更多指标
  • Export

  • Share

  • Collection

  • Album

    • Improving the quality of remotely sensed precipitation product from GPM satellites by using a spatial random forest

    • Vol. 28, Issue 2, Pages: 414-425(2024)   

      Published: 07 February 2024

    • DOI: 10.11834/jrs.20221222     

    扫 描 看 全 文

  • Hu B J,Li W,Chen C F and Hu Z Z. 2024. Improving the quality of remotely sensed precipitation product from GPM satellites by using a spatial random forest. National Remote Sensing Bulletin, 28(2):414-425 DOI: 10.11834/jrs.20221222.
  •  
  •  
Alert me when the article has been cited
提交

相关作者

暂无数据

相关机构

College of Mining Engineering, Taiyuan University of Technology
College of Surveying and Geoinformatics, Tongji University
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University
School of Geography and Ocean Science, Nanjing University
Institute of Desertification Studies, Chinese Academy of Forest
0