Accuracy of LiDAR-based tree height estimation and crown recognition in a subtropical evergreen broad-leaved forest in Okinawa, Japan
Aim of study: To present an approach for estimating tree heights, stand density and crown patches using LiDAR data in a subtropical broad-leaved forest. Area of study: The study was conducted within the Yambaru subtropical evergreen broad-leaved forest, Okinawa main island, Japan. Materials...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Spanish National Institute for Agricultural and Food Research and Technology
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43641/ http://psasir.upm.edu.my/id/eprint/43641/1/Accuracy%20of%20LiDAR-based%20tree%20height%20estimation%20and%20crown%20recognition%20in%20a%20subtropical%20evergreen%20broad-leaved%20forest%20in%20Okinawa%2C%20Japan%201.pdf |
| _version_ | 1848850282692214784 |
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| author | Ahmad Zawawi, Azita Masami, Shiba Naim Jemali, Nor Janatun |
| author_facet | Ahmad Zawawi, Azita Masami, Shiba Naim Jemali, Nor Janatun |
| author_sort | Ahmad Zawawi, Azita |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Aim of study: To present an approach for estimating tree heights, stand density and crown patches using LiDAR data in a subtropical broad-leaved forest.
Area of study: The study was conducted within the Yambaru subtropical evergreen broad-leaved forest, Okinawa main island, Japan.
Materials and methods: A digital canopy height model (CHM) was extracted from the LiDAR data for tree height estimation and a watershed segmentation method was applied for the individual crown delineation. Dominant tree canopy layers were estimated using multi-scale filtering and local maxima detection. The LiDAR estimation results were then compared to the ground inventory data and a high resolution orthophoto image for accuracy assessment.
Main results: A Wilcoxon matched pair test suggests that LiDAR data is highly capable of estimating tree height in a subtropical forest (z = 4.0, p = 0.345), but has limitation to detect small understory trees and a single tree delineation. The results show that there is a statistically significant different type of crown detection from LiDAR data over forest inventory (z = 0, p = 0.043). We also found that LiDAR computation results underestimated the stand density and overestimated the crown size.
Research highlights: Most studies involving crown detection and tree height estimation have focused on the analysis of plantations, boreal forests and temperate forests, and less was conducted on tropical and/or subtropical forests. Our study tested the capability of LiDAR as an effective application for analyzing a highly dense forest
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| first_indexed | 2025-11-15T10:03:49Z |
| format | Article |
| id | upm-43641 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:03:49Z |
| publishDate | 2015 |
| publisher | Spanish National Institute for Agricultural and Food Research and Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-436412016-07-22T02:51:54Z http://psasir.upm.edu.my/id/eprint/43641/ Accuracy of LiDAR-based tree height estimation and crown recognition in a subtropical evergreen broad-leaved forest in Okinawa, Japan Ahmad Zawawi, Azita Masami, Shiba Naim Jemali, Nor Janatun Aim of study: To present an approach for estimating tree heights, stand density and crown patches using LiDAR data in a subtropical broad-leaved forest. Area of study: The study was conducted within the Yambaru subtropical evergreen broad-leaved forest, Okinawa main island, Japan. Materials and methods: A digital canopy height model (CHM) was extracted from the LiDAR data for tree height estimation and a watershed segmentation method was applied for the individual crown delineation. Dominant tree canopy layers were estimated using multi-scale filtering and local maxima detection. The LiDAR estimation results were then compared to the ground inventory data and a high resolution orthophoto image for accuracy assessment. Main results: A Wilcoxon matched pair test suggests that LiDAR data is highly capable of estimating tree height in a subtropical forest (z = 4.0, p = 0.345), but has limitation to detect small understory trees and a single tree delineation. The results show that there is a statistically significant different type of crown detection from LiDAR data over forest inventory (z = 0, p = 0.043). We also found that LiDAR computation results underestimated the stand density and overestimated the crown size. Research highlights: Most studies involving crown detection and tree height estimation have focused on the analysis of plantations, boreal forests and temperate forests, and less was conducted on tropical and/or subtropical forests. Our study tested the capability of LiDAR as an effective application for analyzing a highly dense forest Spanish National Institute for Agricultural and Food Research and Technology 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43641/1/Accuracy%20of%20LiDAR-based%20tree%20height%20estimation%20and%20crown%20recognition%20in%20a%20subtropical%20evergreen%20broad-leaved%20forest%20in%20Okinawa%2C%20Japan%201.pdf Ahmad Zawawi, Azita and Masami, Shiba and Naim Jemali, Nor Janatun (2015) Accuracy of LiDAR-based tree height estimation and crown recognition in a subtropical evergreen broad-leaved forest in Okinawa, Japan. Forest Systems, 24 (1). pp. 1-11. ISSN 2171-5068; ESSN: 2171-9845 http://revistas.inia.es/index.php/fs/article/view/5476/2297 10.5424/fs/2015241-05476 |
| spellingShingle | Ahmad Zawawi, Azita Masami, Shiba Naim Jemali, Nor Janatun Accuracy of LiDAR-based tree height estimation and crown recognition in a subtropical evergreen broad-leaved forest in Okinawa, Japan |
| title | Accuracy of LiDAR-based tree height estimation and crown recognition in a subtropical evergreen broad-leaved forest in Okinawa, Japan |
| title_full | Accuracy of LiDAR-based tree height estimation and crown recognition in a subtropical evergreen broad-leaved forest in Okinawa, Japan |
| title_fullStr | Accuracy of LiDAR-based tree height estimation and crown recognition in a subtropical evergreen broad-leaved forest in Okinawa, Japan |
| title_full_unstemmed | Accuracy of LiDAR-based tree height estimation and crown recognition in a subtropical evergreen broad-leaved forest in Okinawa, Japan |
| title_short | Accuracy of LiDAR-based tree height estimation and crown recognition in a subtropical evergreen broad-leaved forest in Okinawa, Japan |
| title_sort | accuracy of lidar-based tree height estimation and crown recognition in a subtropical evergreen broad-leaved forest in okinawa, japan |
| url | http://psasir.upm.edu.my/id/eprint/43641/ http://psasir.upm.edu.my/id/eprint/43641/ http://psasir.upm.edu.my/id/eprint/43641/ http://psasir.upm.edu.my/id/eprint/43641/1/Accuracy%20of%20LiDAR-based%20tree%20height%20estimation%20and%20crown%20recognition%20in%20a%20subtropical%20evergreen%20broad-leaved%20forest%20in%20Okinawa%2C%20Japan%201.pdf |