Estimation of Forest Carbon Storage Based on Airborne LiDAR Data

Chong Liu; Zhen Feng Shao

doi:10.4028/www.scientific.net/AMM.195-196.1314

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 195-196Estimation of Forest Carbon Storage Based on...

Estimation of Forest Carbon Storage Based on Airborne LiDAR Data

Abstract:

The objective of this study was to estimate the carbon storage of forest areas by using airborne light detection and ranging (LiDAR) data. Digital canopy height model (CHM) which generated from point cloud data was combined with accurate geo-referenced true color orthophoto image to produce parameter information of trees (height, canopy diameter, DBH data) in test area by marker controlled watershed segmentation algorithm. The total carbon storage of experimental site could be calculated by adopting binary tree volume table and semi-empirical inversion means. This study suggested that the carbon storage of forest areas can be effectively estimated by using LiDAR data, which will play an important role in forest data updating and process of forget sustainable development.

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Periodical:

Applied Mechanics and Materials (Volumes 195-196)

Pages:

1314-1320

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.195-196.1314

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Online since:

August 2012

Authors:

Chong Liu, Zhen Feng Shao

Keywords:

Binary Tree Volume Table, Canopy Structure, Carbon Stock, LiDAR, Marker Controlled Watershed Algorithm

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