Biophysical parameters retrieval of mangrove ecosystem using 3D point cloud descriptions from UAV photographs

Yang, Yang; Liang, Xiuqiong; Wang, Bin; Xie, Zhenxi; Shen, Xiang; Sun, Xiang; Zhu, Xiaoyan

doi:10.1016/j.ecoinf.2022.101845

Cited by 9 publications

(2 citation statements)

References 34 publications

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“…Constructing a digital three‐dimensional (3D) model of earthwork construction is an effective method for realizing high‐precision environment perception. Three‐dimensional models based on unmanned aerial vehicle (UAV) tilt photography have been applied in geological disaster analysis (Wang et al, 2020), ecological information management (Zhu et al, 2022), and monitoring and detection of infrastructure structure (Atencio et al, 2022). The edge detection of the 3D model can realize the accurate perception of retaining walls, but the application in earthwork construction still needs further research.…”

Section: Introductionmentioning

confidence: 99%

Earthwork digital twin for teleoperation of an automated bulldozer in edge dumping

You

Zhou

Ding

et al. 2023

Journal of Field Robotics

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The unstructured construction site with a complex and changeable environment brings challenges to human–machine interaction. In this study, the earthwork digital twin (DT) is proposed to realize accurate and real‐time perception, which can support the teleoperation of an automated bulldozer. The overall framework includes anterior‐time DT, real‐time DT, and posterior‐time DT, which integrates three‐dimensional modeling, edge detection, and blade trajectory algorithms. Multidimensional heterogeneous data in bulldozer teleoperation can be displayed in real‐time to ensure construction safety. Big data during teleoperation of the construction process can be collected, stored, and analyzed. The DT proposed in this study was successfully applied in a major construction project in China, and testing results show its universality, robustness, and advanced performance. The key technologies proposed in this study can be applied to solve the common problems in the construction industry, which is promising for future intelligent construction.

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Section: Introductionmentioning

confidence: 99%

Earthwork digital twin for teleoperation of an automated bulldozer in edge dumping

You

Zhou

Ding

et al. 2023

Journal of Field Robotics

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“…Some studies have investigated the accuracy of the point cloud model of image-based 3D reconstruction. Because the diferent fight parameter combinations of UAVs have an important impact on the accuracy of the point cloud model [27], an appropriate fight and image capture strategy adequate to the quality requirements of the modeling can save time and resources [28]. Te UAV observations obtained under diferent light conditions can be evaluated using terrestrial laser scanner acquisitions, which show the efect of light conditions on the accuracy of the point cloud model [29].…”

Section: Introductionmentioning

confidence: 99%

Feasibility of Accurate Point Cloud Model Reconstruction for Earthquake-Damaged Structures Using UAV-Based Photogrammetry

Shan

Zhu

2023

Structural Control and Health Monitoring

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Camera-enabled unmanned aerial vehicles (UAVs) provide a promising technique to considerably speed up the inspection and visual data collection from regions that may otherwise be inaccessible. In addition, the technology of image-based 3D reconstruction can generate a point cloud model using images captured by UAVs. However, the performance of the point cloud modeling may be affected by multiple factors, such as the modeling software, ground control points (GCPs), and UAV flight modes. In this study, three common software packages were compared, and Pix4Dmapper was considered a suitable software for point cloud modeling for earthquake-damaged buildings. The accuracy and resolution of point cloud models are usually evaluated by root mean square error (RMSE) and ground sampling distance (GSD). The effects of the main factors, including the number of GCPs, distribution of GCPs, flight manner of the UAV, and distance from the UAV to the target, were investigated on the basis of two real-world multistory earthquake-damaged structures. The influence rules of the main factors revealed that a close range, automatic flight mode of the UAV, a large number of GCPs, and a relatively wide distribution of the GCPs may generate a point cloud model with low computational costs, high accuracy, and high resolution. In the particular illustration example here, the RMSE is 6.78 mm while the GSD is 1.60 mm. Finally, rapid structural damage inspection was demonstrated using an accurate point cloud model and compared with the inspection results of a total station and terrestrial laser scanner point cloud models. The comparison of different inspection results showed that the relative errors were relatively acceptable within 4%.

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Construction of 3D landscape indexes based on oblique photogrammetry and its application for islands

Guo

Wang

et al. 2023

Ecological Informatics

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Biophysical parameters retrieval of mangrove ecosystem using 3D point cloud descriptions from UAV photographs

Cited by 9 publications

References 34 publications

Earthwork digital twin for teleoperation of an automated bulldozer in edge dumping

Earthwork digital twin for teleoperation of an automated bulldozer in edge dumping

Feasibility of Accurate Point Cloud Model Reconstruction for Earthquake-Damaged Structures Using UAV-Based Photogrammetry

Construction of 3D landscape indexes based on oblique photogrammetry and its application for islands

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