- The September issue of PE & RS has an important paper on the work being done by Dr. Habib and others.
- A mathematical methodology is being proposed to assess the quality of derived lidar data and the associated system parameters.
- The goal of this important research is to produce a set of standards for judging the quality of the derived lidar data.
The current issue of PE & RS has a very important paper by Dr. Habib and others entitled, “Error Budget of LiDAR Systems and Quality Control of the Derived Data”. The authors point out that although LiDAR systems have been widely adopted for a number of applications, there is a lack of standard methodologies for the QA of the systems and QC of the derived data. In most cases the preferred QC method being used today is to compare the derived positions with ground control points. Not only is this expensive, but it is not accurate enough to verify the horizontal accuracy.
The paper includes a discussion of the basic lidar mathematical model and potential error sources. From there a tool for evaluating the quality of the derived data, as well as the system parameters is discussed. Essentially the methodology is based on developing a mathematical model for comparing elements in overlapping strips. The basic concept being that if all the system parameters were properly calibrated and aligned that the elements would be in exactly the same position. In the real world this is not the case, but the model can be applied to identify the quality of the derived data.
The research is ongoing, but initial results are quite promising. The goal of the work is to develop a set of standards and specifications that can be used to actually accept or reject the deliverables. I think this is really important and valuable work that could lead to an important contribution to the growth of the LiDAR industry.
Congratulations to all those involved.