This whitepaper explores the application of Remotely Piloted Aircraft Systems (RPAS) equipped with RGB and LiDAR sensors for monitoring the Brazilian savanna, known as the Cerrado. The Cerrado is the most biologically diverse savanna globally, facing significant threats from anthropogenic activities, necessitating effective environmental policies. This study demonstrates the potential of these advanced sensing technologies for the physical characterization of landscapes within the Cerrado biome.

The research includes analyses of vegetation structure, where the automatic counting of trees was performed. Results indicated that the average tree height measured by RGB sensors was significantly lower than that obtained by LiDAR sensors, highlighting the limitations of Structure from Motion data in densely vegetated landscapes.

The LiDAR data enabled accurate tree counting, with 1,825 trees identified across the study area and 245 within specific ecological study parcels. This paper underscores the effectiveness of RPAS in reducing the costs and time associated with environmental surveys and evaluations, providing crucial insights for the development of conservation policies in the Cerrado.

This whitepaper presents the initial results from testing and evaluating a single-rotary Unmanned Aircraft System (UAS) integrated with a long-range, multi-return LiDAR sensor. Conducted at an airfield in South Texas, USA, the study explores the evolving capabilities of miniaturized LiDAR technology and its application in UAS platforms. Compared to traditional airborne LiDAR mapping, UAS platforms offer greater flexibility in flight design, rapid response capabilities, and potentially lower costs for local mapping.

The research focuses on describing the UAS platform and its enabling technologies (LiDAR, IMU, GPS), sensor calibration and initialization processes, and the methods for geospatial surveying, data processing, and analysis. The advantages of LiDAR, such as its pulsed ranging technique and multi-return detection capability, are highlighted, demonstrating its effectiveness in applications like vegetation structure monitoring, obstacle detection, and digital terrain model refinement.

This study underscores the potential of UAS LiDAR systems for fine-scale mapping and various environmental monitoring applications, paving the way for enhanced precision and efficiency in geospatial data collection.

Join Phoenix LiDAR Systems in their fourth webinar, introducing the company’s cutting-edge, survey-grade LiDAR mapping systems and automated processes. Discover their pioneering achievements, including the world’s first fixed-wing VTOL UAV LiDAR system. This webinar delves into challenging UAV LiDAR applications, such as powerlines, dense vegetation, corridor mapping, and wide-area mapping. Sam, the chief pilot, highlights the capabilities of the TerraHawk CW-20 and CW-30 fixed-wing VTOL UAVs, known for their long flight durations, RTK positioning, and flexible takeoff and landing.

Grayson Omans, CEO, underscores the importance of extended airborne LiDAR operation and efficient system integration. Senior Post-Processing Manager, Conrad, showcases impressive datasets from various terrains, demonstrating the high-density lidar data captured by the TerraHawk UAVs and Scout Ultra and Ranger LRT systems.

The team addresses viewer questions, and Eric Agnello, Director of Sales, announces the Scout series relaunch with new sensor options. The webinar concludes with details on upcoming events and an invitation for feedback and future webinar topic suggestions.

Join Phoenix LiDAR Systems’ latest webinar where Director of Marketing Vu Winn discusses UAV LiDAR post-processing tips and tricks. Designed to provide continuing education and streamline LiDAR data collection, this session highlights Phoenix’s pioneering role in developing the first commercial UAV LiDAR system and their ongoing technological innovations.

LiDAR post-processing engineer Eric McNeil showcases essential software tools such as SpatialExplorer, Inertial Explorer, and the cloud-based LiDARMill. Eric covers critical steps from initial field checks to detailed trajectory processing, making complex tasks accessible even to beginners. Viewers gain insights into accurate data handling, troubleshooting, and optimization techniques.

The webinar also includes a Q&A session addressing specific software features and techniques. Concluding with updates on upcoming events and an invitation for feedback, the Phoenix LiDAR Systems team remains available to support attendees.

Join Phoenix LiDAR Systems in this informative webinar where Vu Winn, Director of Marketing, emphasizes ongoing education and value for their global client base. The focus is on UAV LiDAR flight planning and best practices for data collection. Chief Pilot Sam Girardi, with 25 years of drone flying experience, demonstrates the Phoenix FlightPlanner software, detailing the process of creating flight plans, setting LiDAR parameters, and ensuring safe data collection.

Key topics include the importance of pre-flight checks, smooth turns, and terrain following. Sam also discusses the significance of testing flight paths with smaller drones and proper lithium battery safety. The team, including post-processing engineer Erik McNeil and sales director Eric Agnello, addresses audience questions on elevation model accuracy, LiDAR versus photogrammetry flight planning, and Litchi software capabilities.

The webinar concludes with an invitation to explore the Phoenix FlightPlanner, a preview of new products like the expanded Scout series and MiniRanger series, and upcoming features in LiDARMill. Stay connected for updates and send feedback for future webinars.

This whitepaper details the calibration testing conducted under task order G17PD01249: Alaska Critical Infrastructure UAV Airfield Obstruction Survey. The Dewberry team, in collaboration with Compass Data and Phoenix LiDAR, performed LiDAR sensor tests for the Kiana and Nulato Airfields. The testing involved the acquisition and post-processing of LiDAR data using two sensors, each flown at two different heights above ground.

The study aimed to assess the sensors’ ability to meet project specifications, including data formatting, LAS point cloud data, smooth surface repeatability, relative accuracy, and intensity values. Additionally, the tests evaluated LiDAR density to determine the optimal sensor and flying height for identifying obstructions, geometric calibration for measurement accuracy and repeatability, radiometric testing for detecting small or low-reflectance obstructions, and measurement consistency across multiple flights.

The findings of this comprehensive testing are documented in this report, providing valuable insights into the performance and reliability of UAV-based LiDAR systems for airfield obstruction surveys.

Drone LiDAR has been revolutionizing various industries for years, but its impact on the construction industry is perhaps the most significant. The construction sector, with its intricate and prolonged processes involving multiple phases and tasks, has been a prime candidate for disruption. Early adopters quickly recognized the potential of drones to streamline traditional processes, reduce costs, and enhance efficiency and safety. However, numerous untapped opportunities still exist for construction and engineering firms.

In this article, we will explore how drone LiDAR can be effectively utilized in the design, building, and delivery phases of a construction project.

Using Drone Lidar in Design & Engineering

Capturing land images with drones is merely the beginning of the value they offer to construction firms. By integrating raw sensor data into advanced software such as SpatialExplorer and LidarMill, firms can generate significant value, which can be packaged and monetized through various pricing structures. While these applications are robust, they cannot entirely replace traditional surveying methods. However, by combining drone LiDAR data with standard surveying tools, construction firms can offer clients a broader range of services. These services include the ability to measure cut and fill volumes, create detailed 3D renderings of construction sites, and monitor project progress more effectively.

Drones on the Construction Site

The construction industry has rapidly adopted drones, and with good reason. Drones provide a safer and more cost-effective means to perform surveys, create as-is engineering models, and collect comprehensive data and footage from job sites. Here are some key use cases for drones on construction sites:

1. Job Site Documentation: By obtaining the necessary permits and ensuring safe operation processes, UAVs can be flown over job sites to significantly reduce waste. This site documentation can be invaluable for both clients and legal teams, allowing project managers to demonstrate progress or the current state of a project at any point in its lifecycle.
2. Cut and Fill: For earthwork, grading, and GPS precision tasks, having an accurate model is critical. Drone LiDAR can map 40 acres in less than 30 minutes, delivering a surface accuracy of 3 to 5 cm within two hours. This level of precision and efficiency can result in substantial savings for large-scale projects.

By leveraging drone LiDAR technology, construction firms can not only enhance their operational efficiency but also provide superior services to their clients, ultimately gaining a competitive edge in the industry.

Conclusion

The integration of drone LiDAR technology into the construction industry holds immense potential. From the design and engineering phases to on-site applications, drones are transforming how construction projects are executed. As the industry continues to evolve, early adopters of drone LiDAR technology will be well-positioned to lead the way, driving innovation and setting new standards for efficiency, safety, and cost-effectiveness.

This whitepaper outlines the objectives and results of a test campaign aimed at evaluating the accuracy of point clouds generated by Phoenix LiDAR Systems in a realistic survey mission scenario. The study also tested the performance of Terrasolid software, running on MicroStation CONNECT Edition, for calibrating and enhancing the data.

Data sets were acquired using a Camflight FX8HL UAS platform and pre-processed into trajectory and point cloud files using Phoenix LiDAR Systems software. The findings demonstrate the effectiveness of these technologies in producing accurate and reliable data for various survey applications, highlighting the potential for improved data calibration and processing with the integrated software solutions.

This report provides valuable insights into the capabilities and performance of UAV-based LiDAR systems for high-precision surveying and mapping tasks.