This mission was started in response to a request from the Departmental Directorate of Territories, which lacked LiDAR equipment and therefore outsourced the entire data capture process to drone companies. The objective was to conduct a comprehensive modeling of four avalanche corridors in the Pyrenees, covering a total area of 430 hectares (1 060 ac.) through a LiDAR survey.
These areas undergo regular updates to ensure accuracy and relevancy. Their primary requirement was to use a LiDAR system integrated with an M300 RTK, enabling efficient and rapid surveying of the mountainous terrain with its challenging features, such as steep slopes, rugged landscapes, and densely forested areas. The survey spanned 2.3 kilometers (1.4 miles) and featured a maximum elevation difference of 1000 meters (about 3300 ft.), presenting the most challenging section of the project.
To fulfill these requirements, Instadrone were tasked to collect LiDAR data using their YellowScan Explorer LiDAR system.
The primary objectives included achieving a minimum ground point density of 8 points per square meter (excluding water and buildings) in heavily forested areas, all within a tight timeframe. Additionally, the precision (1) of the point cloud was essential, the target being 5 cm.
Moreover, the survey aimed to achieve an accuracy (2) of the point cloud within 10 cm.
An initial mission was undertaken using a DJI L1 sensor; however, it did not achieve the desired results due to various challenges encountered during data capture and post-processing.
Instadrone reported that the point density achieved using the YellowScan Explorer LiDAR system was notably superior to the DJI L1 solution, whether on vegetated or non-vegetated surfaces. Additionally, Instadrone got a higher quality point cloud, and it successfully met the precision and accuracy requirements.
Furthermore, the implementation of the Strip Adjustment feature in YellowScan CloudStation enhanced the overall coherence between each flight line, leading to a more precise modeling outcome.
Their client was extremely satisfied with the result.
Since this project, Instadrone has almost only used YellowScan LiDAR solutions. Firstly, because it offers a heightened level of confidence in obtaining reliable data, unlike the L1 system that often produced corrupted or incomplete files without clear explanations. Instadrone added that the integration of POSPac within the YellowScan CloudStation enables seamless post-processing management, allowing for flexibility in utilising a pivot or IGN/CORS reference point. They also mentioned that YellowScan LiDAR solutions consistently provide high-quality and dense point clouds, surpassing the capabilities of the L1 system, regardless of vegetation presence. This enhanced performance not only ensures accurate results but also simplifies subsequent classification tasks.
Using YellowScan LiDAR systems for different projects can show many benefits:
The support provided by YellowScan was readily available in the event of major issues. The Support Team is always attentive, gives clear explanations, and they are always available whenever we encounter any issues, whether it’s through phone calls, TeamViewer, or email.
Arthur Marcel
Surveying Technician – Instadrone
1/ Precision: In LiDAR surveys, precision refers to the standard deviation of the average distance between points and the average plane formed. Combined with the mismatch evaluation (plane-to-plane distances between strips), this can give a good estimation of the overall point cloud noise, often mistakenly considered as precision.
2/ Accuracy in this context measures the distance between a point in the acquired cloud and its corresponding point in the reference cloud, providing an assessment of the overall coherence of the survey with respect to a given reference. Another way of measuring accuracy would be to use GCPs.
