Articolul precedent |
Articolul urmator |
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Ultima descărcare din IBN: 2024-06-07 10:44 |
SM ISO690:2012 NECULA, Nicușor, TOMA-DANILA, Dragos, NĂSTASE, Eduard Ilie, TATARU, Dragoș, NICULIȚĂ, Mihai. UAV LiDAR data testing and evaluation in densely forested areas. In: Sisteme Informaționale Geografice: In memoriam Prof. Univ. Emerit. dr. Ioan DONISĂ, Ed. 29, 30 martie 2023, Iași. Iași : GIS and Remote Sensing, 2023, Ediția 29, p. 36. |
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Sisteme Informaționale Geografice Ediția 29, 2023 |
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Simpozionul "Sisteme Informaționale Geografice" 29, Iași, Romania, 30 martie 2023 | ||||||
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Pag. 36-36 | ||||||
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Light Detection and Ranging (LiDAR) is recognized to be one of the most accurate and effective techniques that can provide highly accurate terrain models, whether we refer to the local, regional, or national scale. Usually, the system is mounted on an aerial platform, which flights at a specified height and plan, depending on the desired specifications. Unmanned Aerial Vehicles (UAVs)-based have demonstrated great potential for surveying and monitoring small areas, making them a great asset for local scale investigations when coupled with a mounted LiDAR system. We carried out four surveys in the Vrâncioaia and Năruja, Vrancea region, for which we used a system consisting of an Acecore Noa UAV hexacopter and a YellowScan Vx20-300 LIDAR. The number of shots per second was 100k over 1200 (300kHz), and the operating flight altitude was between 70 and 100 meters, depending on the local terrain morphology - sometimes variable within the same flight. The hover speed was seven m/s with an overlap between tracks of 70%. In some cases, the flight plan consisted, besides the parallel lines, also of perpendicular lines at 900. A 30-minute flight sequence covered the testing areas with paths between 0.2 and 0.5 m. In our paper, we present and discuss the results and the analysis of various setups on data characteristics and generation of digital surface and terrain models. For processing, mainly YellowScan CloudStation was used. In one case study area with a landslide, a scan taken simultaneously with a Leica MS60 station was also performed, and merged cloud point data was created, showing how different technologies can contribute to a refined model. Preliminary results highlight the system's capability, obtaining a point cloud with great reflection intensity, a typical point density of up 2500 points/m2, which can go to 10000 points/m2, and five returns of the reflected pulse. |
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