Evaluating LiDAR technology for accurate measurement of tree metrics and carbon sequestration
Carbon credits play a crucial role in mitigating climate change by incentivizing reductions in greenhouse gas emissions and providing a measurable way to balance carbon dioxide output, fostering sustainable environmental practices. However, conventional methods of measuring carbon credits are often...
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Elsevier
2025-06-01
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016125000809 |
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| author | Suradet Tantrairatn Auraluck Pichitkul Nutchanan Petcharat Pawarut Karaked Atthaphon Ariyarit |
| author_facet | Suradet Tantrairatn Auraluck Pichitkul Nutchanan Petcharat Pawarut Karaked Atthaphon Ariyarit |
| author_sort | Suradet Tantrairatn |
| collection | DOAJ |
| description | Carbon credits play a crucial role in mitigating climate change by incentivizing reductions in greenhouse gas emissions and providing a measurable way to balance carbon dioxide output, fostering sustainable environmental practices. However, conventional methods of measuring carbon credits are often time-consuming and lack accuracy. This research examines carbon credit measurement in a 40 × 40 m2 rubber forest, evaluating the effectiveness of LiDAR technology in measuring Tree Height (TH) and Diameter at Breast Height (DBH) using a dataset of 100 samples. The method is as follows: • Three measurement methods were compared: conventional techniques using diameter tape and hypsometers, manual LiDAR measurements, and automated measurements using 3D Forest Inventory software with the CloudCompare plugin. • The Mean Absolute Percentage Error (MAPE) for carbon sequestration was 4.276 % for manual LiDAR measurements and 6.901 % for the 3D Forest Inventory method. • Root Mean Square Error (RMSE) values for carbon sequestration using LiDAR measurements were 33.492 kgCO2e, whereas RMSE values for the 3D Forest Inventory method were significantly higher. This indicates that manual LiDAR measurements are more accurate and consistent, while the higher RMSE in the 3D Forest Inventory method reflects greater variability and potential estimation errors.The findings suggest that LiDAR technology, particularly manual measurements, provides a reliable and efficient alternative for carbon sequestration assessments in forest management. |
| format | Article |
| id | doaj-art-105b66f5a9244be1b6a0bb4f3077c8a8 |
| institution | Kabale University |
| issn | 2215-0161 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj-art-105b66f5a9244be1b6a0bb4f3077c8a82025-08-20T03:24:07ZengElsevierMethodsX2215-01612025-06-011410323710.1016/j.mex.2025.103237Evaluating LiDAR technology for accurate measurement of tree metrics and carbon sequestrationSuradet Tantrairatn0Auraluck Pichitkul1Nutchanan Petcharat2Pawarut Karaked3Atthaphon Ariyarit4School of Mechanical Engineering, Institute of Engineering, Suranaree University of Technology, 111, MahaWitthayalai Rd, Suranari, Mueang Nakhon Ratchasima District, Nakhon Ratchasima 30000, ThailandSchool of Mechanical Engineering, Institute of Engineering, Suranaree University of Technology, 111, MahaWitthayalai Rd, Suranari, Mueang Nakhon Ratchasima District, Nakhon Ratchasima 30000, ThailandInstitute of Research and Development, Suranaree University of Technology, Maha Witthayalai Rd, Suranari, Mueang Nakhon Ratchasima District, Nakhon Ratchasima 30000, ThailandInstitute of Research and Development, Suranaree University of Technology, Maha Witthayalai Rd, Suranari, Mueang Nakhon Ratchasima District, Nakhon Ratchasima 30000, ThailandSchool of Mechanical Engineering, Institute of Engineering, Suranaree University of Technology, 111, MahaWitthayalai Rd, Suranari, Mueang Nakhon Ratchasima District, Nakhon Ratchasima 30000, Thailand; Corresponding author.Carbon credits play a crucial role in mitigating climate change by incentivizing reductions in greenhouse gas emissions and providing a measurable way to balance carbon dioxide output, fostering sustainable environmental practices. However, conventional methods of measuring carbon credits are often time-consuming and lack accuracy. This research examines carbon credit measurement in a 40 × 40 m2 rubber forest, evaluating the effectiveness of LiDAR technology in measuring Tree Height (TH) and Diameter at Breast Height (DBH) using a dataset of 100 samples. The method is as follows: • Three measurement methods were compared: conventional techniques using diameter tape and hypsometers, manual LiDAR measurements, and automated measurements using 3D Forest Inventory software with the CloudCompare plugin. • The Mean Absolute Percentage Error (MAPE) for carbon sequestration was 4.276 % for manual LiDAR measurements and 6.901 % for the 3D Forest Inventory method. • Root Mean Square Error (RMSE) values for carbon sequestration using LiDAR measurements were 33.492 kgCO2e, whereas RMSE values for the 3D Forest Inventory method were significantly higher. This indicates that manual LiDAR measurements are more accurate and consistent, while the higher RMSE in the 3D Forest Inventory method reflects greater variability and potential estimation errors.The findings suggest that LiDAR technology, particularly manual measurements, provides a reliable and efficient alternative for carbon sequestration assessments in forest management.http://www.sciencedirect.com/science/article/pii/S2215016125000809Tree Metrics and Carbon Sequestration using LiDAR Technology |
| spellingShingle | Suradet Tantrairatn Auraluck Pichitkul Nutchanan Petcharat Pawarut Karaked Atthaphon Ariyarit Evaluating LiDAR technology for accurate measurement of tree metrics and carbon sequestration MethodsX Tree Metrics and Carbon Sequestration using LiDAR Technology |
| title | Evaluating LiDAR technology for accurate measurement of tree metrics and carbon sequestration |
| title_full | Evaluating LiDAR technology for accurate measurement of tree metrics and carbon sequestration |
| title_fullStr | Evaluating LiDAR technology for accurate measurement of tree metrics and carbon sequestration |
| title_full_unstemmed | Evaluating LiDAR technology for accurate measurement of tree metrics and carbon sequestration |
| title_short | Evaluating LiDAR technology for accurate measurement of tree metrics and carbon sequestration |
| title_sort | evaluating lidar technology for accurate measurement of tree metrics and carbon sequestration |
| topic | Tree Metrics and Carbon Sequestration using LiDAR Technology |
| url | http://www.sciencedirect.com/science/article/pii/S2215016125000809 |
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