Applications of LIDAR Technology in Forestry Investigation

Abstract

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:

P225.1
S758

ZHANG Yanlin, FENG Zhongke, YANG Bogang, MA Youping, YAO Shan. Applications of LIDAR Technology in Forestry Investigation[J]. FOREST RESOURCES WANAGEMENT, 2007, (6): 73-77.

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Applications of LIDAR Technology in Forestry Investigation

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