Exploring the Potential of UAV LiDAR Data for Trunk Point Extraction and Direct DBH Measurement
The accurate measurement of diameter at breast height (DBH) is one of the essential tasks for biomass estimation at an individual tree scale. This paper aims to explore the potential of unmanned aerial vehicle (UAV) based light detection and ranging (LiDAR) for trunk point extraction and direct DBH...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/12/2753 |
| _version_ | 1797482728306769920 |
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| author | Baokun Feng Sheng Nie Cheng Wang Xiaohuan Xi Jinliang Wang Guoqing Zhou Haoyu Wang |
| author_facet | Baokun Feng Sheng Nie Cheng Wang Xiaohuan Xi Jinliang Wang Guoqing Zhou Haoyu Wang |
| author_sort | Baokun Feng |
| collection | DOAJ |
| description | The accurate measurement of diameter at breast height (DBH) is one of the essential tasks for biomass estimation at an individual tree scale. This paper aims to explore the potential of unmanned aerial vehicle (UAV) based light detection and ranging (LiDAR) for trunk point extraction and direct DBH measurement. First, the trunk point cloud for each tree is extracted based on UAV LiDAR data by the multiscale cylindrical detection method. Then, the DBH is directly measured from the point cloud via the multiscale ring fitting. Lastly, we analyze the influence of scanning angle and mode on trunk point extraction and DBH measurement. The results show that the proposed method can obtain high accuracy of trunk point extraction and DBH measurement with real (R<sup>2</sup> = 0.708) and simulated (R<sup>2</sup> = 0.882) UAV LiDAR data. It proves that the UAV LiDAR data is feasible to directly measure the DBH. The highest accuracy was obtained with the scanning angles ranging from 50 to 65 degrees. Additionally, as the number of routes increases, the accuracy increases. This paper demonstrates that the UAV LiDAR can be used to directly measure the DBH, providing the scientific guidance for UAV path planning and LiDAR scanning design. |
| first_indexed | 2024-03-09T22:37:35Z |
| format | Article |
| id | doaj.art-4624fa7d0ea24f15b89941315a7753cb |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T22:37:35Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-4624fa7d0ea24f15b89941315a7753cb2023-11-23T18:46:14ZengMDPI AGRemote Sensing2072-42922022-06-011412275310.3390/rs14122753Exploring the Potential of UAV LiDAR Data for Trunk Point Extraction and Direct DBH MeasurementBaokun Feng0Sheng Nie1Cheng Wang2Xiaohuan Xi3Jinliang Wang4Guoqing Zhou5Haoyu Wang6Faculty of Geography, Yunnan Normal University, Kunming 650500, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, ChinaFaculty of Geography, Yunnan Normal University, Kunming 650500, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, ChinaFaculty of Geography, Yunnan Normal University, Kunming 650500, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, ChinaThe accurate measurement of diameter at breast height (DBH) is one of the essential tasks for biomass estimation at an individual tree scale. This paper aims to explore the potential of unmanned aerial vehicle (UAV) based light detection and ranging (LiDAR) for trunk point extraction and direct DBH measurement. First, the trunk point cloud for each tree is extracted based on UAV LiDAR data by the multiscale cylindrical detection method. Then, the DBH is directly measured from the point cloud via the multiscale ring fitting. Lastly, we analyze the influence of scanning angle and mode on trunk point extraction and DBH measurement. The results show that the proposed method can obtain high accuracy of trunk point extraction and DBH measurement with real (R<sup>2</sup> = 0.708) and simulated (R<sup>2</sup> = 0.882) UAV LiDAR data. It proves that the UAV LiDAR data is feasible to directly measure the DBH. The highest accuracy was obtained with the scanning angles ranging from 50 to 65 degrees. Additionally, as the number of routes increases, the accuracy increases. This paper demonstrates that the UAV LiDAR can be used to directly measure the DBH, providing the scientific guidance for UAV path planning and LiDAR scanning design.https://www.mdpi.com/2072-4292/14/12/2753UAV LiDARDBHtrunk point cloudscanning anglescanning mode |
| spellingShingle | Baokun Feng Sheng Nie Cheng Wang Xiaohuan Xi Jinliang Wang Guoqing Zhou Haoyu Wang Exploring the Potential of UAV LiDAR Data for Trunk Point Extraction and Direct DBH Measurement Remote Sensing UAV LiDAR DBH trunk point cloud scanning angle scanning mode |
| title | Exploring the Potential of UAV LiDAR Data for Trunk Point Extraction and Direct DBH Measurement |
| title_full | Exploring the Potential of UAV LiDAR Data for Trunk Point Extraction and Direct DBH Measurement |
| title_fullStr | Exploring the Potential of UAV LiDAR Data for Trunk Point Extraction and Direct DBH Measurement |
| title_full_unstemmed | Exploring the Potential of UAV LiDAR Data for Trunk Point Extraction and Direct DBH Measurement |
| title_short | Exploring the Potential of UAV LiDAR Data for Trunk Point Extraction and Direct DBH Measurement |
| title_sort | exploring the potential of uav lidar data for trunk point extraction and direct dbh measurement |
| topic | UAV LiDAR DBH trunk point cloud scanning angle scanning mode |
| url | https://www.mdpi.com/2072-4292/14/12/2753 |
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