• Title/Summary/Keyword: LiDAR %28Light Detection And Ranging%29

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Hierarchical Bayesian analysis for a forest stand volume (산림재적 추정을 위한 계층적 베이지안 분석)

  • Song, Se Ri;Park, Joowon;Kim, Yongku
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.1
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    • pp.29-37
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    • 2017
  • It has gradually become important to estimate a forest stand volume utilizing LiDAR data. Recently, various statistical models including a linear regression model has been introduced to estimate a forest stand volume using LiDAR data. One of limitations of the current approaches is in that the accuracy of observed forest stand volume data, which is used as a response variable, is questionable unstable. To overcome this limitation, we consider a spatial structure for a forest stand volume. In this research, we propose a hierarchical model for applying a spatial structure to a forest stand volume. The proposed model is applied to the LiDAR data and the forest stand volume for Bonghwa, Gyeongsangbuk-do.