{"id":5329,"date":"2021-12-13T16:22:09","date_gmt":"2021-12-13T15:22:09","guid":{"rendered":"https:\/\/www.logxon.com\/?page_id=5329"},"modified":"2021-12-13T16:22:09","modified_gmt":"2021-12-13T15:22:09","slug":"lidar-drone-terrain-survey-using-riegl-vux-1-uav-laser-scanner-resolution-and-accuracy-of-uav-laser-scans","status":"publish","type":"page","link":"https:\/\/www.logxon.com\/en\/lidar-drone-terrain-survey-using-riegl-vux-1-uav-laser-scanner-resolution-and-accuracy-of-uav-laser-scans\/","title":{"rendered":"LiDAR drone terrain Survey using RIEGL VUX-1 UAV Laser Scanner, Resolution and Accuracy of UAV Laser Scans"},"content":{"rendered":"

LiDAR drone terrain survey using RIEGL laser scanner VUX-1 UAV<\/strong><\/h2>\n

To us here at LOGXON, the precise LiDAR drone terrain survey is the most promising drone service. We deliver precise 3D survey results as geo-referenced point clouds and digital terrain models. In order to meet the highest quality demands, we exclusively use the powerful and very precise RIEGL systems<\/strong>. When taking photographs in the field and also when analysing them, the resolution sought, along with the requested accuracy, plays a decisive role in assessing the time needed and the associated costs.<\/p>\n

Our team aims at providing our customers with targeted consultation for all their needs. We believe that it is very important to discuss all of these aspects, rather than just focus on maximum resolution at the best possible accuracy, which is uneconomical in many cases. Rather, we would like to deliver results meeting all the requirements while affording the greatest yield for the customer.<\/p>\n

SECURE FREE INITIAL CONSULTATION NOW<\/a><\/p>\n

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Resolution and accuracy vs. cost-efficiency<\/strong><\/h3>\n

DLiDAR drone terrain surveys are often used if elevation accuracy is significant and\/or if a high level of precision is required. The values of the RIEGL VUX-1 UAV sensor with 10mm accuracy and 5mm precision are the industry benchmark here. <\/span><\/p>\n

Other key parameters include laser beam footprint and resolution in the point cloud, together with the resulting display accuracy. The smaller the laser footprint the higher the echo\u2019s position accuracy and the more reliable the penetration of vegetation.<\/p>\n

\"LOGXON-graphics-classified-point-cloud-in-ground-points-and-non-ground-points-digital-terrain-models-height-models-surface-models-DTM-DEM-DOM-terrain-measurement-by-drone-precise-geodata-from-LOGXON\"<\/p>\n

In terms of resolution, we distinguish between point density per flight strip<\/strong> and overall point density<\/strong>. Point cloud density per flight strip<\/strong> is our base value when calculating projects. The information mainly results from flight altitude, speed and destination and\/or ground composition (reflectivity). Adding flight strip width, ie, overlap of individual scan strips, to these values lets you derive overall point density across the surveyed area<\/strong> and area output per flight. In a nutshell: There is always an interdependency between cost-efficiency and requirements. Therefore, we think it makes the most sense to enquire about a clearly defined, comparable and, most of all, expedient resolution (single-shot without echoes) and accuracy.<\/p>\n

FIND OUT MORE IN A PERSONAL CONVERSATION<\/a><\/h2>\n

Excerpt from data sheet on RIEGL laser scanner VUX-1 UAV<\/strong><\/h3>\n

\"RIEGL-Laserscanner-VUX-1-UAV-fuer-Drohnengest\u00fctzte-LiDAR-Gel\u00e4ndevermessung-Airborne-Laser-Scanning-Kartierung-digitale-Gelaendemodelle-DGM\"
\nSource: RIEGL.com<\/a><\/p>\n

LiDAR drone terrain survey: Relative and absolute accuracy<\/strong><\/h2>\n

Accuracy values of a LiDAR drone terrain survey consist of two components\u2014relative<\/strong> and absolute accuracy<\/strong>.<\/p>\n

Relativ accuracy (precision)<\/h3>\n

Relative accuracy describes the precision (inner accuracy) of a survey in terms of the noise of the overall point cloud. Relative accuracy quantifies the degree of repeatability of a survey, ie, the degree to which the following survey will produce an identical result. A term often used in this context is \u201cpoint accuracy\u201d.<\/p>\n

Absolute accuracy (correctness)<\/h3>\n

Absolute accuracy describes the correctness of the survey result in terms of a coordinate system using check points\/check areas. Absolute accuracy quantifies the degree of correctness of a survey compared to real values.<\/p>\n

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LiDAR accuracy benchmarks in numbers (RIEGL VUX-1 UAV 22):<\/strong><\/h2>\n