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FOREST RESOURCES WANAGEMENT ›› 2007, Vol. 0 ›› Issue (6): 73-77.

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Applications of LIDAR Technology in Forestry Investigation

ZHANG Yanlin1,2, FENG Zhongke1, YANG Bogang3, MA Youping1, YAO Shan1   

  1. 1. Institute of GIS, RS & GPS, Beijing Forestry University, 100083, P. R. China;
    2. Gansu Forestry Technological College, Tianshui,741020, Gansu,P.R. China;
    3. Beijing Research Institute of Surveying and Designing, Beijing 100038,China
  • Received:2007-05-16 Revised:2007-09-17 Published:2020-12-10

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Abstract: This paper studied measurement of tree heights by using LIDARtechnology. The total station precisely measured height and volume of the 37 selected sample trees, which served as measured sample data. With the analysis ofBPNeural Networks, function equation was established to fit LIDAR images to real-measured tree height and volume data, which processed realization of using LIDARdata to calculate individual tree volume. It can be drawn from the fitting result that correlative coefficient of height was 0.993 2 and mean residual sum of squares was 0.086 312, correlative coefficient of volume was 0.974 7 and mean residual sum of squares was 0.000 310 5, this result metthe requirement of forestry investigation precision. It also set a good examplefor forestry tables making.

Key words: LIDAR, tree heights, tree volumes, BP Neural Networks, fitting function equation

CLC Number: