Research on Canopy Height Inversion of Moso Bamboo Forests on Ta-pieh Mountains Based on LiDAR

LI Ling-na; SUN Yue; WAN Fang-fang; XU Xiao-niu; HUANG Xing-zhao

doi:10.12390/jbr2022031

Volume 41 Issue 1

May 2022

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LI Ling-na, SUN Yue, WAN Fang-fang, XU Xiao-niu, HUANG Xing-zhao. Research on Canopy Height Inversion of Moso Bamboo Forests on Ta-pieh Mountains Based on LiDAR[J]. JOURNAL OF BAMBOO RESEARCH, 2022, 41(1): 10-16. doi: 10.12390/jbr2022031

Citation:

LI Ling-na, SUN Yue, WAN Fang-fang, XU Xiao-niu, HUANG Xing-zhao. Research on Canopy Height Inversion of Moso Bamboo Forests on Ta-pieh Mountains Based on LiDAR[J]. JOURNAL OF BAMBOO RESEARCH, 2022, 41(1): 10-16. doi: 10.12390/jbr2022031

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Research on Canopy Height Inversion of Moso Bamboo Forests on Ta-pieh Mountains Based on LiDAR

doi: 10.12390/jbr2022031

School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230031, Anhui, China

Received Date: 2022-02-20
Publish Date: 2022-05-27

Abstract

Abstract

Accurately obtaining the canopy height of Phyllostachys edulis is of great significance for the study of the resource structure characteristics and sustainable management of Phyllostachys edulis forest. Taking Phyllostachys edulis stand in Zhuyuan Village,Guanmiao Township,Jinzhai County,Anhui Province as the research subject,28 standard sample plots of 25 m×25 m were established,and the height of each Moso bamboo canopy was determined. At the same time,both data of the Airborne LiDAR and the Spaceborne LiDAR were also obtained. The results indicated that slope and vegetation cover were the important characteristic parameters affecting the canopy height. Based on the data assimilation of the Airborne LiDAR and the Spaceborne LiDAR,the model of Phyllostachys edulis canopy height was established by using stepwise linear regression. The modeling effect analysis showed that the root mean square error was reduced by 0.77 m and the coefficient of determination was improved by 0.20 after incorporating the slope and vegetation cover. The prediction effect analysis showed that the correlation coefficient between the estimated and measured values was 0.96. Therefore,when retrieving Phyllostachys edulis canopy height from LiDAR data,terrestrial topography and vegetation cover should be taken into account in order to achieve the accurate estimation.
- LiDAR,
- Phyllostachys edulis,
- Canopy height,
- Model fitting,
- Prediction

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References(37)

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