JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2015, Vol. 39 ›› Issue (05): 87-92.doi: 10.3969/j.issn.1000-2006.2015.05.014

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Statistical methods and application of forest logging digital photogrammetry

YU Jingxin,LIU Jincheng,FENG Zhongke*   

  1. Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China
  • Online:2015-10-15 Published:2015-10-15

Abstract: In order to solve the difficult problem of forest logging volume determination,taking ordinary digital camera(or 3D digital camera)as its information acquisition means, this research processes the images taken from modern close range photogrammetry technologies with related computer software, extracts the information of standing tree measurement factors and compiles a basal diameter-DBH fitting software based on the existing local single entry volume mathematical model to predict breast diameter and timber volume and other related information such as tree species, DBH, material values and uses 25 strains of poplar basal diameter, DBH and volume comparing with the value measured outside as thesample to verify the model.The results showed that the poplar unitary volume model of in Beijing is V=0.000 065 678D1.31.941 06[22.126·(1-e-0.072 04D1.3)1.373 8]0.849 29,there is almost no difference between the result calculated from the close range photogrammetry technologies and the value measured outside,the average error is 1.94%,3.49%,6.82%. This method can obtain the accurate value of basal diameter,DBH and volume.

CLC Number: