中国农业科技导报 ›› 2020, Vol. 22 ›› Issue (3): 72-78.DOI: 10.13304/j.nykjdb.2018.0542

• 智慧农业 农机装备 • 上一篇    下一篇

手持式超站仪摄影测量研建材积模型

成竺欣1,王秀兰1*,沈亚骏1,常晨1,冯仲科1,蒋君志伟1,孙素芬2,张浪3,4,马文苑1   

  1. 1.北京林业大学,精准林业北京市重点实验室, 北京 100083;2.北京市农林科学院农业信息与经济研究所,北京 100097;3.上海市园林科学规划研究院,上海 200232;4.上海城市困难立地绿化工程技术研究中心,上海 200232
  • 收稿日期:2018-07-03 出版日期:2020-03-15 发布日期:2018-11-27
  • 通讯作者: *通信作者 王秀兰 E-mail: wangxiulan2000@sina.com
  • 作者简介:成竺欣 E-mail: chengzhuxin1993@foxmail.com;
  • 基金资助:
    北京市自然科学基金重点研究项目(Z160001)。

Volume Model by Handheld Super Station Photogrammetry

CHENG Zhuxin1, WANG Xiulan1*, SHEN Yajun1, CHANG Chen1, FENG Zhongke1, JIANG Junzhiwei1, SUN Sufen2, ZHANG Lang3,4, MA Wenyuan1
  

  1. 1.Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China; 2.Insititute of agriculture information and economy, Beijing Academic of agriculture and Forestry Sciences, Beijing 100097, China; 3.Shanghai Academy of Landscape Architecture Science and Planing, Shanghai 200232, China; 4.Shanghai Engineering Research Center of Landscaping on Challenging Urban Sites, Shanghai 200232, China
  • Received:2018-07-03 Online:2020-03-15 Published:2018-11-27

摘要: 精准快速测量立木胸径、树高、材积等基本信息一直是林业调查探索的热点问题。手持式超站仪作为目前市场上较为常见的一款新型森林资源计测仪器,具有无损、高精度、便携、易操作等特点。为获得精准材积模型,解决辽阳地区一元、二元材积表编制问题,提出一种利用手持式超站仪测量研建立木材积模型的方法。手持式超站仪以辽阳当地主要树种樟子松、油松、落叶松、柞树、刺槐、硬阔、软阔、速生杨树、中生杨树、慢生杨树为研究对象,采用手持式超站仪进行立木无损精测获取树高、胸径、材积数据,建立10个树种的一元立木材积模型、二元立木材积模型和树高胸径模型,并通过6项指标对所得模型进行评价。结果表明:10个树种模型中除樟子松外平均系统误差与总相对误差中均保持在3%内,一元材积模型与二元材积模型的决定系数除樟子松外均保持在90%以上,一元材积模型与树高胸径模型的平均百分比标准差除软阔外均取得良好拟合效果。总体来看,一元材积模型、二元材积模型、树高胸径模型均取得良好拟合效果,该方法可用于野外森林资源调查与立木材积模型研建等。

关键词: 一元材积模型, 二元材积模型, 手持式超站仪, 材积建模

Abstract: To accurately and quickly measure the standing wood chest diameter, tree height, material accumulation and other basic information has been the hot issues of forestry investigation. Handheld superstation is a new type of forest resource measuring instrument which could solve the needs of forest measurement for nondestructive measurement, high precision, portable and easy to operate. To establish tree volume tables and acquire accurate volume models within Liaoyang district, oneway and standard volume models and DBHheight models for 10 tree species were established by using the method of linear regression and evaluated the models by using six evaluation indicator regression models. The ten main tree species in Liaoyang district were Pinus sylvestris, Chinese pine, Dahurian larch, Oak, Robinia pseudoacacia, hardwood, softwood, fast poplar, medium poplar and slow poplar.The results showed that the MSE and TRE in 10 tree species were kept within 3% and the R2 in oneway and standard volume models were higher than 90% except Mongolian scotch pine; and the MPSE in oneway volume model and DBHheight model had good fitting effect except softwood forest. In general, all models achieved good fitting effect, and this method could be applied in the field forest resource investigation and tree volume establishment.

Key words: unary volume model, standard volume model, handheld super station, volume model constriction