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Deriving Individual-Tree Biomass from Effective Crown Data Generated by Terrestrial Laser Scanning

DOI:10.3390/rs11232793 期刊:Remote Sensing 出版年份:2019 更新时间:2025-09-12 10:27:22
摘要: Biomass reflects the state of forest management and is critical for assessing forest benefits and carbon storage. The effective crown is the region above the lower limit of the forest crown that includes the maximum vertical distribution density of branches and leaves; this component plays an important role in tree growth. Adding the effective crown to biomass equations can enhance the accuracy of the derived biomass. Six sample plots in a larch plantation (ranging in area from 0.06 ha to 0.12 ha and in number of trees from 63 to 96) at the Mengjiagang forest farm in Huanan County, Jiamusi City, Heilongjiang Province, China, were analyzed in this study. Terrestrial laser scanning (TLS) was used to obtain three-dimensional point cloud data on the trees, from which crown parameters at different heights were extracted. These parameters were used to determine the position of the effective crown. Moreover, effective crown parameters were added to biomass equations with tree height as the sole variable to improve the accuracy of the derived individual-tree biomass estimates. The results showed that the minimum crown contact height was very similar to the effective crown height, and an increase in model accuracy was apparent (with R2 a increasing from 0.846 to 0.910 and root-mean-square error (RMSE) decreasing from 0.372 kg to 0.286 kg). The optimal model for deriving biomass included tree height, crown length from minimum contact height, crown height from minimum contact height, and crown surface area from minimum contact height. The novelty of the article is that it improves the fit of individual-tree biomass models by adding crown-related variables and investigates how the accuracy of biomass estimation can be enhanced by using remote sensing methods without obtaining diameter at breast height.
作者: Yujie Zheng,Weiwei Jia,Qiang Wang,Xu Huang
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Investigating the use of terrestrial laser scanning (TLS) to derive individual-tree biomass from effective crown data, enhancing the accuracy of biomass estimation without obtaining diameter at breast height.

The study demonstrates that adding effective crown parameters to biomass equations significantly improves the accuracy of individual-tree biomass estimates derived from TLS data. The minimum crown contact height was found to be very similar to the effective crown height, and the inclusion of crown-related variables enhanced model accuracy. This approach provides a new method for biomass estimation without the need for diameter at breast height measurements, offering potential for large-scale remote sensing monitoring of forest resources.

The study is limited to larch plantations in a specific geographic area. The accuracy of biomass estimation may vary with different tree species and forest conditions. The method requires detailed point cloud data, which can be time-consuming to collect and process.

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