Abstract

Detecting Individual Tree Position and Height Using Airborne LiDAR Data in Chollipo Arboretum, South Korea

Highlights

  • Forests’ adaptation to climate change is critical, as they are the only global carbon sink recognized by the international community (KFS 2009)

  • The average pixel top height was 7.08 ± 0.24 m ranging from 0.08 - 50.72 m. This algorithm was utilized to designate center pixel tops in forest area as a treetop by first calculating the variance and specified optimal variance value via trial and error

  • Seasonal effects could influence the growth of coniferous trees more than deciduous trees (Yoon et al 2006; Lee 2008)

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Summary

Introduction

Forests’ adaptation to climate change is critical, as they are the only global carbon sink recognized by the international community (KFS 2009). According to the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5), Agriculture, Forestry, and Other Land Use (AFOLU) sectors contributed 24% of total anthropogenic emissions in 2010 (IPCC 2014; Tubiello et al 2015). While all sectors excluding AFOLU increased Greenhouse Gas (GHG) emissions, land use sectors including forestry maintained similar levels as before due to decreasing deforestation and increasing reforestation. It is difficult to quantify forest stocks because optical imagery collects spectral information in 2D (Cui et al 2012). This is especially true for dense forests.

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