Agricultural Remote Sensing | Views : 0 下载量: 207 CSCD: 0
  • Export

  • Share

  • Collection

  • Album

    • Indicative features for identifying corn and soybean using remote sensing imagery at middle and later growth season

    • Vol. 26, Issue 7, Pages: 1410-1422(2022)   
    • DOI: 10.11834/jrs.20209078     

    扫 描 看 全 文

  • Yu SHEN, Qiangzi LI, Xin DU, et al. Indicative features for identifying corn and soybean using remote sensing imagery at middle and later growth season. [J]. National Remote Sensing Bulletin 26(7):1410-1422(2022) DOI: 10.11834/jrs.20209078.
Alert me when the article has been cited
提交

相关作者

暂无数据

相关机构

Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry & Technology
Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Central South University of Forestry & Technology
Key Laboratory of State Forestry & Grassland Administration on Forest Resources Management and Monitoring in Southern Area, Central South University of Forestry & Technology
Research Institute of Forest Resources Information Techniques, ChineseAcademy of Forestry
College of Mining Engineering, Taiyuan University of Technology
0