• DocumentCode
    3690833
  • Title

    Evaluation of UAV-based forest inventory system compared with LiDAR data

  • Author

    Wenjian Ni;Jianli Liu;Zhiyu Zhang;Guoqing Sun;Aqiang Yang

  • Author_Institution
    State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese, Academy of Sciences, Beijing 100101, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    3874
  • Lastpage
    3877
  • Abstract
    Forest spatial structure is essential for researches on forest ecosystem dynamics. Considering that the field measurement of forest structures over large field plot is labor-intensive and time-consuming, a forest inventory system is developed based on unmanned aerial vehicle (UAV). This study presented the initial evaluation of this system by comparisons with LiDAR data. Results showed that most trees appeared in LiDAR canopy height model (CHM) could also be detected in UAV CHM. The UAV system could measure forest height at plot level with R2=0.87 and RMSE=1.9 m taking CHM from LiDAR as reference data.
  • Keywords
    "Laser radar","Vegetation","Remote sensing","Three-dimensional displays","Ecology","Cameras","Ecosystems"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326670
  • Filename
    7326670
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3690833