Application of Terrestrial Close-Range Photogrammetry for Estimating Stem Volume of Tree Species in Subtropical Forest in Okinawa, Japan

Tamaki, Y.; Konoshima, Masashi

doi:10.15684/formath.004

Cited by 2 publications

(10 citation statements)

References 21 publications

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“…The average DBH of the trees surveyed by Tamaki and Konoshima (2019) was 31.7 cm (standard deviation 17.1 cm), and the average DBH of the trees surveyed in this study was 18.5 cm (standard deviation 8.2 cm). This newly established plot is different from the site used in Tamaki and Konoshima (2019). However, the two plots are in close proximity and have the same shape and size.…”

Section: The Senbaru Sitementioning

confidence: 64%

“…Tamaki and Konoshima (2019) also used the same flatland forest as a survey site, but in this study, we set up a new plot to attempt three-dimensional modeling of a group of standing trees, including individuals with smaller diameters and more complex shapes. Figure 3 shows the DBH distribution of the target trees in this study compared to that of Tamaki and Konoshima (2019). The average DBH of the trees surveyed by Tamaki and Konoshima (2019) was 31.7 cm (standard deviation 17.1 cm), and the average DBH of the trees surveyed in this study was 18.5 cm (standard deviation 8.2 cm).…”

Section: The Senbaru Sitementioning

confidence: 90%

“…Figure 3 shows the DBH distribution of the target trees in this study compared to that of Tamaki and Konoshima (2019). The average DBH of the trees surveyed by Tamaki and Konoshima (2019) was 31.7 cm (standard deviation 17.1 cm), and the average DBH of the trees surveyed in this study was 18.5 cm (standard deviation 8.2 cm). This newly established plot is different from the site used in Tamaki and Konoshima (2019).…”

Section: The Senbaru Sitementioning

confidence: 90%

“…Various studies (Forsman et al 2016;Mikita et al 2016;Panagiotidis et al 2016;Mokros et al 2018) have shown that terrestrial close-range photogrammetry can generate highly accurate three-dimensional models that is more cost-effective alternative to terrestrial laser scanning which has been used extensively, especially in commercial forests to generate highly accurate plot-level forest inventory data (Liang et al 2016). Considering the cost of applying terrestrial laser scanning, which is generally expensive to operate widely, except for a few recently developed systems (Tatsumi et al 2022), Tamaki and Konoshima (2019) applied SfM-MVS and constructed a 3D model of a group of standing trees within a 10m × 10m plot based on images taken with a digital camera while walking in the forest. However, for successful 3D modeling with SfM-MVS, it is important to secure a certain overlapping area between each image when shooting (Matsuura et al 2020;Taki et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…However, for successful 3D modeling with SfM-MVS, it is important to secure a certain overlapping area between each image when shooting (Matsuura et al 2020;Taki et al 2020). Tamaki and Konoshima (2019) showed that taking sufficient photos for 3D conversion requires a long survey time (about 90 minutes) and argue that shortening camera shooting -data acquiring process is an issue.…”

Section: Introductionmentioning

confidence: 99%

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Diameter and stem volume estimation based on under canopy UAV-SfM-MVS survey approach in subtropical forest of Okinawa Island, Japan

Shimabuku,

Konoshima,

Ota

2023

FORMATH

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Growth and yield projections and current inventory assessment of a forest stand are essential tasks for successfully conducting sustainable forest management. However, much is still unknow about the amount and distribution of forest resources in subtropical island of Okinawa, Japan. Therefore, there is an urgent need to develop an effective and efficient measurement system to evaluate various forest inventory parameters such as tree diameter, tree height, and tree volume for an intricately shaped tree species common in subtropical areas. In recent years there has been rising interest in the so-called Unmanned Aerial Vehicle (UAV) -Structure-from-Motion (SfM) -Multi-View Stereo (MVS) (UAV-SfM-MVS) survey approach, which processes image data captured by UAV to develop 3D models and allows the efficient estimation of various forest inventory parameters of standing trees, without the alteration of the surrounding environment. However, the application of UAV-SfM-MVS survey approach in subtropical areas is scarce. With the aim of establishing a relatively simple but accurate forest measurement method that allows for efficient data collection of broad-leaved tree species common in a subtropical forest, we were able to conduct field experiments and acquire video data from a drone flown under tree canopy. In this paper, we developed a 3D models using SfM-MVS technique to estimate tree diameter and volume. To validate our approach, the proposed method was compared with ground truth measurements. We concluded that our approach was able to estimate tree diameters and stem volumes in our surveyed plots with a high degree of accuracy at root mean square error (RMSE) of 0.4-0.7 cm for DBH and RMSE of 0.0045-0.0147 m 3 for stem volume within a shorter survey time. Although modeling of tree crown and tree parts where understory vegetation impeded camera view remains a topic for future research, we were able to demonstrate that under canopy UAV-f-MVS survey approach is relatively simple but provide highly accurate measurements of standing trees in subtropical forests without altering the surrounding environment.

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Section: The Senbaru Sitementioning

confidence: 64%

Section: The Senbaru Sitementioning

confidence: 90%