Research on the Estimation of Chinese Fir Stand Volume Based on UAV-LiDAR Technology

Chinese fir (<i<Cunninghamia lanceolata</i<) is the main fast-growing timber species in China, and studies of its stand volume are important for evaluating the effectiveness of forest management. However, it is difficult to accurately estimate stand volume from the perspective of a singl...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Shuhan Yu [verfasserIn] Xiangyu Chen [verfasserIn] Xiang Huang [verfasserIn] Yichen Chen [verfasserIn] Zhongyang Hu [verfasserIn] Jian Liu [verfasserIn] Kunyong Yu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	forest stand volume Chinese fir point cloud

Übergeordnetes Werk:	In: Forests - MDPI AG, 2010, 14(2023), 6, p 1252
Übergeordnetes Werk:	volume:14 ; year:2023 ; number:6, p 1252

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/f14061252

Katalog-ID:	DOAJ094152632

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520			\|a Chinese fir (<i<Cunninghamia lanceolata</i<) is the main fast-growing timber species in China, and studies of its stand volume are important for evaluating the effectiveness of forest management. However, it is difficult to accurately estimate stand volume from the perspective of a single tree due to the mutual concealment among Chinese fir trees. Therefore, in this study, we propose a method for identifying different forms of Chinese fir. The specific idea is to realize the accurate identification of a single Chinese fir tree, two Chinese fir trees, and three Chinese fir trees, and construct their respective stand volume estimation models to obtain an estimate of the forest stand volume. The key results are as follows: (1) the overall accuracy of recognition of different forms of Chinese fir is 79%, and the construction of different forms of Chinese fir units is beneficial for identifying forest trees; (2) a multiunit volume equation for different forms of Chinese fir is constructed; (3) based on predictions obtained with the constructed stand volume model, the difference between the estimated stand volume and the measured stand volume is small, and the average accuracy reaches 89.19%; and (4) compared to traditional volume estimation methods based on individual tree scale, the research method in this study shows a significant improvement (about 9.96%) in overall accuracy. In summary, this method can weaken the influence of erroneous individual tree segmentation on the accuracy of stand volume estimation, and can greatly reduce the working time of single tree segmentation to achieve the fast and accurate estimation of fir plantation stand volume.
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authorswithroles_txt_mv	Shuhan Yu @@aut@@ Xiangyu Chen @@aut@@ Xiang Huang @@aut@@ Yichen Chen @@aut@@ Zhongyang Hu @@aut@@ Jian Liu @@aut@@ Kunyong Yu @@aut@@
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callnumber-first	Q - Science
author	Shuhan Yu
spellingShingle	Shuhan Yu misc QK900-989 misc forest stand volume misc Chinese fir misc point cloud misc Plant ecology Research on the Estimation of Chinese Fir Stand Volume Based on UAV-LiDAR Technology
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topic_title	QK900-989 Research on the Estimation of Chinese Fir Stand Volume Based on UAV-LiDAR Technology forest stand volume Chinese fir point cloud
topic	misc QK900-989 misc forest stand volume misc Chinese fir misc point cloud misc Plant ecology
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title	Research on the Estimation of Chinese Fir Stand Volume Based on UAV-LiDAR Technology
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author_browse	Shuhan Yu Xiangyu Chen Xiang Huang Yichen Chen Zhongyang Hu Jian Liu Kunyong Yu
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title_sort	research on the estimation of chinese fir stand volume based on uav-lidar technology
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title_auth	Research on the Estimation of Chinese Fir Stand Volume Based on UAV-LiDAR Technology
abstract	Chinese fir (<i<Cunninghamia lanceolata</i<) is the main fast-growing timber species in China, and studies of its stand volume are important for evaluating the effectiveness of forest management. However, it is difficult to accurately estimate stand volume from the perspective of a single tree due to the mutual concealment among Chinese fir trees. Therefore, in this study, we propose a method for identifying different forms of Chinese fir. The specific idea is to realize the accurate identification of a single Chinese fir tree, two Chinese fir trees, and three Chinese fir trees, and construct their respective stand volume estimation models to obtain an estimate of the forest stand volume. The key results are as follows: (1) the overall accuracy of recognition of different forms of Chinese fir is 79%, and the construction of different forms of Chinese fir units is beneficial for identifying forest trees; (2) a multiunit volume equation for different forms of Chinese fir is constructed; (3) based on predictions obtained with the constructed stand volume model, the difference between the estimated stand volume and the measured stand volume is small, and the average accuracy reaches 89.19%; and (4) compared to traditional volume estimation methods based on individual tree scale, the research method in this study shows a significant improvement (about 9.96%) in overall accuracy. In summary, this method can weaken the influence of erroneous individual tree segmentation on the accuracy of stand volume estimation, and can greatly reduce the working time of single tree segmentation to achieve the fast and accurate estimation of fir plantation stand volume.
abstractGer	Chinese fir (<i<Cunninghamia lanceolata</i<) is the main fast-growing timber species in China, and studies of its stand volume are important for evaluating the effectiveness of forest management. However, it is difficult to accurately estimate stand volume from the perspective of a single tree due to the mutual concealment among Chinese fir trees. Therefore, in this study, we propose a method for identifying different forms of Chinese fir. The specific idea is to realize the accurate identification of a single Chinese fir tree, two Chinese fir trees, and three Chinese fir trees, and construct their respective stand volume estimation models to obtain an estimate of the forest stand volume. The key results are as follows: (1) the overall accuracy of recognition of different forms of Chinese fir is 79%, and the construction of different forms of Chinese fir units is beneficial for identifying forest trees; (2) a multiunit volume equation for different forms of Chinese fir is constructed; (3) based on predictions obtained with the constructed stand volume model, the difference between the estimated stand volume and the measured stand volume is small, and the average accuracy reaches 89.19%; and (4) compared to traditional volume estimation methods based on individual tree scale, the research method in this study shows a significant improvement (about 9.96%) in overall accuracy. In summary, this method can weaken the influence of erroneous individual tree segmentation on the accuracy of stand volume estimation, and can greatly reduce the working time of single tree segmentation to achieve the fast and accurate estimation of fir plantation stand volume.
abstract_unstemmed	Chinese fir (<i<Cunninghamia lanceolata</i<) is the main fast-growing timber species in China, and studies of its stand volume are important for evaluating the effectiveness of forest management. However, it is difficult to accurately estimate stand volume from the perspective of a single tree due to the mutual concealment among Chinese fir trees. Therefore, in this study, we propose a method for identifying different forms of Chinese fir. The specific idea is to realize the accurate identification of a single Chinese fir tree, two Chinese fir trees, and three Chinese fir trees, and construct their respective stand volume estimation models to obtain an estimate of the forest stand volume. The key results are as follows: (1) the overall accuracy of recognition of different forms of Chinese fir is 79%, and the construction of different forms of Chinese fir units is beneficial for identifying forest trees; (2) a multiunit volume equation for different forms of Chinese fir is constructed; (3) based on predictions obtained with the constructed stand volume model, the difference between the estimated stand volume and the measured stand volume is small, and the average accuracy reaches 89.19%; and (4) compared to traditional volume estimation methods based on individual tree scale, the research method in this study shows a significant improvement (about 9.96%) in overall accuracy. In summary, this method can weaken the influence of erroneous individual tree segmentation on the accuracy of stand volume estimation, and can greatly reduce the working time of single tree segmentation to achieve the fast and accurate estimation of fir plantation stand volume.
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title_short	Research on the Estimation of Chinese Fir Stand Volume Based on UAV-LiDAR Technology
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author2	Xiangyu Chen Xiang Huang Yichen Chen Zhongyang Hu Jian Liu Kunyong Yu
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Research on the Estimation of Chinese Fir Stand Volume Based on UAV-LiDAR Technology

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