Remote Sensing Technology and Method | Views : 0 下载量: 301 CSCD: 0 更多指标
  • Export

  • Share

  • Collection

  • Album

    • Freshly-opened swidden mapping using Support Vector Machine (SVM) and spatial characteristics in Phongsaly Province, Laos

    • Vol. 26, Issue 11, Pages: 2329-2343(2022)   

      Published: 07 November 2022

    • DOI: 10.11834/jrs.20211113     

    扫 描 看 全 文

  • Li P,Jiang N S, Feng Z M and Xiao C W. 2022. Freshly-opened swidden mapping using Support Vector Machine (SVM) and spatial characteristics in Phongsaly Province, Laos. National Remote Sensing Bulletin, 26(11):2329-2343 DOI: 10.11834/jrs.20211113.
  •  
  •  
Alert me when the article has been cited
提交

相关作者

暂无数据

相关机构

University of Chinese Academy of Sciences
Land Consolidation and Rehabilitation Center,Ministry of Natural Resources
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences
Aerospace Information Research Institute, Chinese Academy of Sciences
Key Laboratory of Submarine Geosciences, Second Institute of Oceanography, Ministry of Natural Resources
0