Environmental & Technical Challenges in Drone LiDAR: Insights from Kessner and Handl
LiDAR technology, a groundbreaking innovation in the realm of surveying and remote sensing, has been a game-changer for many industries. With its ability to provide accurate and detailed data, it’s no wonder that professionals and organizations are rapidly adopting this technology. Among the most notable advancements in this field is the use of drones for LiDAR. This video delves deep into the environmental and technical challenges faced in drone-based LiDAR, drawing insights from industry experts James Kessner and Aaron Handl of Encompass Services.
The integration of drones with LiDAR technology has brought about significant cost savings, especially when compared to traditional methods like helicopters. Drones not only offer a more affordable solution but also provide improved control over deliverables. This ensures that surveyors can capture the required data with greater precision and repeatability. However, as with any technology, there are challenges to overcome.
One of the primary challenges faced in drone-based LiDAR is the environmental factors. Weather conditions can be unpredictable, and in some cases, certain areas may be restricted or inaccessible. These challenges can pose significant hurdles during the data collection phase. Kessner and Handl, with their vast experience at the forefront of drone-based LiDAR projects, have encountered these challenges head-on in their work on as-built surveys, solar farm designs, and more.
Technical challenges, such as mission planning and ground control, are also of paramount importance. Ensuring the success of a project requires meticulous attention to these aspects. The duo utilizes the Trimble Business Center software to view and process the LiDAR data. This software, known for its efficiency, allows for seamless data analysis and manipulation. The integration of data from platforms like Spatial Explorer or LiDAR Mill further streamlines their workflow, making the data processing and analysis stages more efficient.
Speaking of LiDAR Mill, the point cloud data classification is a pivotal step in the analysis and construction process. Proper categorization of this data is essential for efficient analysis and construction. Kessner and Handl emphasize the significance of this step and utilize AI tools, such as LiDAR Mill’s AI classification, to expedite the process. This AI-powered software can automatically identify and isolate features, saving both time and effort.
Another major challenge in LiDAR data analysis is wire detection, especially through dense vegetation. As the resolution of the LiDAR data becomes finer, accurately identifying wires amidst thick vegetation becomes increasingly challenging. Manually sifting through point cloud data to identify wires is not only time-consuming but also prone to errors. However, with the use of the Recon MiniRanger sensor and AI software, Kessner and Handl have achieved remarkable success in wire detection. This sensor, known for its impressive accuracy, provides additional returns and improved beam divergence, resulting in superior wire detection capabilities.
The data collected, especially when processed with tools like PLS CAD, provides invaluable insights for utility companies and engineers. Imagery and orthomosaics derived from LiDAR data play a crucial role in deliverables, allowing clients to visualize sites accurately and generate their plan metrics. These orthomosaics are particularly beneficial for subsurface utility engineering projects, aiding in the precise location of utilities.
In conclusion, while drone-based LiDAR offers numerous advantages, it’s essential to be aware of and prepared for the challenges it presents. With insights from industry leaders like Kessner and Handl, and the integration of tools like LiDAR Mill, PLS CAD, and Trimble Business Center, professionals can navigate these challenges effectively and harness the full potential of this revolutionary technology. Join us as we explore the world of drone LiDAR, its challenges, and the solutions that experts like Kessner and Handl bring to the table.
Timestamps:
0:00 – Introduction
02:24 – How they are using LiDar in Encompass
02:48 – The advantages of using drones for their clients
05:37 – How drones are helping them in times of environmental challenges
08:09 – Use case for MiniRanger Lite
09:39 – The software conjunction with LiDar Mill
10:59 – Doing ground classification using AI
14:40 – A look at the distribution lines coming through the vegetation
19:08 – Pulling data using PLS CAD
28:56 – Their experience with Phoenix Lidar and Recon MiniRanger
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