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林业资源管理 ›› 2017›› Issue (2): 23-27.doi: 10.13466/j.cnki.lyzygl.2017.02.005

• 科学研究 • 上一篇    下一篇

基于无人机遥感影像的DSM及遥感数据林分平均高提取

张煜星1(), 王雪军1, 刘明博2   

  1. 1. 国家林业局调查规划设计院,北京100714
    2. 中国科学院遥感与数字地球研究所,北京 100101
  • 收稿日期:2017-02-13 修回日期:2017-04-01 出版日期:2017-04-28 发布日期:2020-10-10
  • 作者简介:张煜星(1964-),男,教授级高工,博士,主要从事森林经理、资源与环境监测等方面的研究工作。Email: zhangyuxing212@163.com
  • 基金资助:
    林业公益性行业科研专项课题“我国主要林区林地立地质量和生产力评价研究”(201504303);三峡后续工作科研项目“三峡库区生态屏障区生态效益监测技术与评价方法研究”(2016K-1)

Extraction of DSM and Mean Forest Stand Height from UAV Imagery

ZHANG Yuxing1(), WANG Xuejun1, LIU Mingbo2   

  1. 1. Academy of Forest Inventory and Planning,State Forestry Administration,Beijing,10074,China
    2. Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing,100101,China
  • Received:2017-02-13 Revised:2017-04-01 Online:2017-04-28 Published:2020-10-10

摘要:

以河北省丰宁县西南部山区为研究区域,利用无人机遥感立体像对提取数字表面模型(DSM)。通过目视判读,在影像中无植被的区域设置校正点,利用校正点处DSM与DEM的值拟合校正因子对DSM进行高程校正,然后结合数字高程模型(DEM)提取树高并利用林地“一张图”数据求得各林地图斑的树高平均值。结果表明:经过高程校正并结合利用林地“一张图”数据的林分平均树高提取方法求得的结果可以直接作为林地变更调查的补充,能实现对林分平均树高、树高等级等因子进行实时更新。

关键词: 无人机遥感, 立体像对, DSM, 林地“一张图”, 树高

Abstract:

In this research we use UAV stereo imagery to extract Digital Surface Model(DSM) of the study area which is located in the mountain areas of southwest Fengning county,Hebei province.Calibration points were set at bare ground through the imagery manual interpretation,followed by the elevation calibration of DSM using parameters fitted by the values of DSM and DEM at the corresponding calibration points.Then the forest height was extracted and averaged over each forest stand segment combining with forest survey results.This study demonstrates the feasibility of this methodology as a supplement of forest survey,which can be used to update mean forest stand height related indexes in a timely fashion.

Key words: UAV, stereo imagery, DSM, forest survey, forest stand height

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