欢迎访问林业资源管理

FOREST RESOURCES WANAGEMENT ›› 2020, Vol. 0 ›› Issue (1): 143-150.doi: 10.13466/j.cnki.lyzygl.2020.01.018

• Technical Application • Previous Articles     Next Articles

Sub-compartment Division and Interpretation of Tree Species Based on High-resolution Aerial Photos

Hao XIONG1, Yong PANG1(), Chungan LI2, Huabing DAI3   

  1. 1. Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091
    2. Forestry College of Guangxi University,Nanning 530004
    3. Guangxi Forest Inventory and Planning Institute,Nanning 530011
  • Received:2019-10-15 Revised:2019-12-13 Online:2020-02-28 Published:2020-05-18
  • Contact: Yong PANG E-mail:pangy@ifrit.ac.cn

Abstract:

This paper studied the sub-compartment division and tree species interpretation techniques of forest resources management inventory in Guangxi Gaofeng Forest Farm.The 0.2m spatial resolution CCD data were used,which were obtained by CAF-LiCHy Airborne Observation System.The interpretation signatures of common tree species were built.The sub-compartment boundaries were divided using visual interpretation,combined with the division results from previous forest inventory.Then,the dominant species was interpreted based on the interpretation signatures and the results were verified by filed data.According to the accuracy verification,the overall accuracy is 92.11% and Kappa coefficient is 0.90.The results indicate that high spatial resolution remote sensing data have high potential in sub-compartment division and tree species interpretation.

Key words: high-resolution aerial photo, forest resources management inventory, visual interpretation

CLC Number: