The world of LiDAR (Light Detection and Ranging) data is filled with technical details, and one that often sparks questions is the "Edge of Flight Line" flag. This flag, embedded within LAS files (a common format for storing LiDAR data), is intended to mark points located at the end of a scan line. But is this flag still relevant in modern LiDAR processing? Let's delve into the history, intended use, and current practicality of this often-misunderstood attribute.
According to the LAS specification, the "Edge of Flight Line" data bit has a value of 1 only when a point is at the end of a scan line. It signifies the last point recorded before the scanning direction changes. In simpler terms, it's meant to identify the perimeter of each flight line in your LiDAR dataset.
As Paul Galla from Leica Geosystems notes, the initial idea behind the "Edge of Flight Line" flag was to enable the rapid creation of coverage maps. By simply reading and displaying the points flagged as "Edge of Flight Line," users could quickly visualize the boundaries of each flight line without processing the entire dataset.
While the initial intent was clear, the actual usage of the "Edge of Flight Line" flag has been varied and, at times, inconsistent.
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.One of the significant questions raised is what use the "Edge of Flight Line" flag has if the points aren't in acquisition order. If the data is unsorted, the flag's usefulness diminishes significantly.
Fortunately, alternative solutions exist:
These alternatives raise the question of whether the "Edge of Flight Line" flag is truly necessary, especially if the data is time-stamped and properly sorted.
The discussion among LiDAR experts reveals a range of perspectives:
The answer is nuanced. While the "Edge of Flight Line" flag was initially intended for creating quick coverage maps, its inconsistent implementation and the availability of alternative solutions have complicated its usefulness.
Key Takeaways:
For users aiming to create coverage maps or identify micro-gaps, the "Edge of Flight Line" flag can still be a helpful tool, especially when dealing with data from manufacturers like Leica and RIEGL. However, users should be aware of its potential inconsistencies and consider alternative methods for achieving similar results. Ultimately, a thorough understanding of your data and the specific sensors used to collect it is crucial for effectively utilizing this flag.