测绘通报 ›› 2017, Vol. 0 ›› Issue (4): 63-66.doi: 10.13474/j.cnki.11-2246.2017.0121

• 技术交流 • 上一篇    下一篇

无人机航测技术在森林蓄积量估测中的应用

李亚东1,2, 冯仲科1, 明海军3, 李长青2, 曹明兰2   

  1. 1. 北京林业大学精准林业北京市重点实验室, 北京 100083;
    2. 北京工业职业技术学院, 北京 100042;
    3. 内蒙古大兴安岭林管局森林调查规划院, 内蒙古 牙克石 022150
  • 收稿日期:2016-08-11 出版日期:2017-04-25 发布日期:2017-05-05
  • 通讯作者: 冯仲科,E-mail:fengzhongke@126.com E-mail:fengzhongke@126.com
  • 作者简介:李亚东(1978—),男,博士生,讲师,主要从事林业信息工程、森林计测的研究.E-mail:bjfu.ydli@163.com
  • 基金资助:
    国家科技支撑计划(2012BAH34B01);北京市教委科技创新平台项目(PXM2014-014225-000020)

Application of UAV Aerophotographic System in Forest Volume Estimation

LI Yadong1,2, FENG Zhongke1, MING Haijun3, LI Changqing2, CAO Minglan2   

  1. 1. Beijing Key Laboratory of Precision Forestry in Beijing Forestry University, Beijing 100083, China;
    2. Beijing Polytechnic College, Beijing 100042, China;
    3. Forest Investigation and Planning Institute of Inner Mongolia Daxinganling Forestry Bureau, Yakeshi 022150, China
  • Received:2016-08-11 Online:2017-04-25 Published:2017-05-05

摘要: 无人机(UAV)航测技术是近年来发展起来的快速获取高分辨率影像的测绘新技术。森林蓄积量估算需要快速高效地获取森林遥感影像。虽然利用卫星和机载雷达同样可获取高分辨率遥感影像,但无人机航测技术与其相比具有飞行成本低、外业周期短、机动灵活等优点。本文利用无人机航测系统获取了案例地区DSM和DEM,采用最大邻域法提取了树高,采用分水岭算法分割了树冠信息,并以树高和冠幅作为解释变量的立木材积二元模型估算了森林蓄积量。结果表明,树高提取精度为83.73%,冠幅提取精度为86.98%,林分蓄积量估算精度为81.80%。

关键词: 无人机航测, 树高, 冠幅, 森林蓄积量估算

Abstract: UAV aerophotographic system is a new technique developed in recent years which can rapidly acquire high-resolution images. In the estimation of forest volume, it is needed to rapidly and efficiently acquire forest remote sensing image.Although the high-resolution remote sensing images can be acquired through satellite and airborne radar as well, compared with UAV aerophotographic system,the latter has lower cost on flight, short industry cycle, flexible and other advantages. In this paper, the DSM and DEM of the case area are acquired with the use of UAV aerophotographic system, tree height is extracted by maximum neighborhood method, and tree crown information is segmented by watershed algorithm. In addition, the forest volume is estimated by the two-way tree volume model with tree height and crown diameter as explanatory variables.The results show that the precision for tree height extraction is 83.73%, the precision for crown diameter extraction is 86.98%, and the estimated precision for the stand volume is 81.80%.

Key words: UAV aerophotogrammetry, tree height, crown diameter, estimation of forest volume

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