Single Scanner BLS System for Forest Plot Mapping

• Published in: IEEE transactions on geoscience and remote sensing 2021-02, Vol.59 (2), p.1675-1685
• Main Authors: Shao, Jie, Zhang, Wuming, Mellado, Nicolas, Jin, Shuangna, Cai, Shangshu, Luo, Lei, Yang, Lingbo, Yan, Guangjian, Zhou, Guoqing
• Format: Article
• Language: English
• Subjects: Backpack laser scanning (BLS); Data acquisition; Errors; Feature extraction; forest plot; Forestry; Forests; Global navigation satellite system; Inertial navigation; Inertial platforms; Laser applications; Lasers; Mapping; Matching; Measurement by laser beam; mobile mapping; Navigation; Navigational satellites; point cloud; Remote sensing; Scanning; Simultaneous localization and mapping; simultaneous localization and mapping (SLAM); Terrestrial environments; Three-dimensional displays; Vegetation
• ISSN: 0196-2892; 1558-0644
• DOI: 10.1109/TGRS.2020.2999413

The 3-D information collected from sample plots is significant for forest inventories. Terrestrial laser scanning (TLS) has been demonstrated to be an effective device in data acquisition of forest plots. Although TLS is able to achieve precise measurements, multiple scans are usually necessary to collect more detailed data, which generally requires more time in scan preparation and field data acquisition. In contrast, mobile laser scanning (MLS) is being increasingly utilized in mapping due to its mobility. However, the geometrical peculiarity of forests introduces challenges. In this article, a test backpack-based MLS system, i.e., backpack laser scanning (BLS), is designed for forest plot mapping without a global navigation satellite system/inertial measurement unit (GNSS-IMU) system. To achieve accurate matching, this article proposes to combine the line and point features for calculating transformation, in which the line feature is derived from trunk skeletons. Then, a scan-to-map matching strategy is proposed for correcting positional drift. Finally, this article evaluates the effectiveness and the mapping accuracy of the proposed method in forest sample plots. The experimental results indicate that the proposed method achieves accurate forest plot mapping using the BLS; meanwhile, compared to the existing methods, the proposed method utilizes the geometric attributes of the trees and reaches a lower mapping error, in which the mean errors and the root square mean errors for the horizontal/vertical direction in plots are less than 3 cm.