A5026228277- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Robotics and Sensor-Based Localization
- Infrastructure Maintenance and Monitoring
- Forest ecology and management
- Plant Water Relations and Carbon Dynamics
- Forest Ecology and Biodiversity Studies
- Tree Root and Stability Studies
- Fire effects on ecosystems
- Leaf Properties and Growth Measurement
Finnish Geospatial Research Institute
2017-2022
Aalto University
2021-2022
Accurate three-dimensional (3D) data from indoor spaces are of high importance for various applications in construction, navigation and real estate management. Mobile scanning techniques offering an efficient way to produce point clouds, but with a lower accuracy than the traditional terrestrial laser (TLS). In this paper, we first tackle problem how quality cloud should be rigorously evaluated. Previous evaluations typically operate on some subset, using manually-given length scale, which...
Lately, terrestrial point clouds have drawn attention as a new data source for in situ forest investigations. So far, laser scanning (TLS) has the highest quality among all cloud terms of geometric accuracy and level detail (IEEE Transact Geosci Remote Sens 53: 5117–5132, 2015). The TLS processed by automated algorithms can provide certain individual tree parameters at close to required practical applications. However, face general challenge, which is occlusions upper crowns. An emerging...
Abstract Background Current automated forest investigation is facing a dilemma over how to achieve high tree- and plot-level completeness while maintaining cost labor efficiency. This study tackles the challenge by exploring new concept that enables an efficient fusion of aerial terrestrial perspectives for digitizing characterizing individual trees in forests through Unmanned Aerial Vehicle (UAV) flies above under canopies single operation. The advantage such perspective from above-canopy...
The use of Personal Mobile Terrestrial System (PMTS) has increased considerably for mobile mapping applications because these systems offer dynamic data acquisition with ground perspective in places where the wheeled platforms is unfeasible, such as forests and indoor buildings. PMTS become more popular emerging technologies, miniaturized navigation sensors off-the-shelf omnidirectional cameras, which enable low-cost approaches. However, most have not been developed high-accuracy metric...
Deep learning methods based on convolutional neural networks have shown to give excellent results in semantic segmentation of images, but the inherent irregularity point cloud data complicates their usage semantically segmenting 3D laser scanning data. To overcome this problem, particularly specialized for purpose been implemented since 2017 finding most appropriate way segment clouds is still an open research question. In study we attempted with by using only raw measurements provided a...
In this paper, we compared five crack detection algorithms using terrestrial laser scanner (TLS) point clouds. The methods are developed based on common cloud processing knowledge in along- and across-track profiles, surface fitting or local pointwise features, with without machine learning. area volume were calculated from the points detected by algorithms. completeness, correctness, F1 score of each algorithm computed against manually collected references. Ten 1-m-by-3.5-m plots containing...
Physiological processes cause movements of tree stems and branches that occur in a circadian rhythm over longer time periods, but there is lack quantitative understanding the cause-and-effect relationships. We investigated movement long-term drought experiment at scale using time-series terrestrial laser scanning measurements coupled with environmental drivers water status. Our results showed was largely explained by leaf status measured as potential controlled environment for both trees (R2...
This paper studied the applicability of Roamer-R4DW mobile laser scanning (MLS) system for road rut depth measurement. The MLS was developed by Finnish Geospatial Research Institute (FGI), and consists two scanners a Global Navigation Satellite System (GNSS)-inertial measurement unit (IMU) positioning system. In study, fully automatic algorithm to calculate analyze depths, verified in 64 reference pavement plots (1.0 m × 3.5 m). We showed that terrestrial (TLS) data is an adequate MLS-based...
Abstract Physiological processes cause movements of tree stems and branches that follow a circadian rhythm, but there is lack quantitative understanding the cause-and-effect relationships. We investigated diurnal movement using time-series terrestrial laser scanning measurements coupled with environmental drivers water status. Our results showed was largely explained by leaf This conclusion supported significantly lower overnight branch in leaf-off than leaf-on conditions. findings conclude...
The deterioration of road conditions and increasing repair deficits pose challenges for the maintenance reliable infrastructure, thus threaten, example, safety fluent flow traffic. Improved more efficient procedures are required, these require improved knowledge conditions, i.e., data. Three-dimensional mapping presents possibilities large-scale collection data on surfaces automatic evaluation needs. However, development and, specifically, mobile methods requires references. To evaluate...