Feature Analyst is an exciting new tool that will appear in LP360/Topolyst 2016.2. To motivate this discussion, I will provide a synopsis of a few use cases for Feature Analyst here. A detailed look at these cases is presented at the end of this article. Examples of tests you will be able to perform with…
We have added quite a few tools to LP360 (Standalone)/Topolyst aimed at small unmanned aerial systems (sUAS) data processing (and small area LIDAR, of course). Here are a few tips for defining stockpile toes for volumetric computations. Automatic Toe Extraction with Overhead: You will note that the automatic toe extraction Point Cloud Task (LP360 Advanced…
When using imagery as a source of metric measurement, an up-front task that must be accomplished is determining the exact position (X, Y, Z) and orientation (Pitch, Yaw and Roll) of the camera at the precise time of each image exposure. This seven tuple of data is termed the dynamic exterior orientation (DEO or often…
New regulations for commercial small unmanned aerial systems (sUAS or “drones”) will take effect in the United States on August 27, 2016. These new rules, referred to as Part 107, contain a real gem that not many folks are discussing. In fact, I think it may be the most important rule of the entire Part…
We have been very busy adding support for analysis associated with small unmanned aerial systems (sUAS, drones) to our LP360 product (more on these specific features later). For some time now we have been considering a special package of LP360 to better address the sUAS market. We did a needs assessment in terms of our…
We have invested a tremendous amount of resources (monetary, development, knowledge) into developing technology and services for mapping sites using dense image matching collected with small Unnamed Aerial Systems (sUAS). Our focus is applications suitable for an sUAS (non-populated areas, smaller sites) that require near survey grade accuracy. The most common example is small open…
AirGon Reckon (“Reckon”) is our cloud hosted collaboration portal for small Unmanned Aerial System (sUAS) or “drone” mapping. It has been designed from the ground up for scalability in the cloud. Hosted in Amazon Web Services (AWS), it provides a robust platform for sharing data that requires no administration or infrastructure on the user’s part…
We have now decided to offer LIDAR Server not only as an on-premises solution that users own and operate but also as a subscription model hosted in Amazon Web Services. We have just completed a major upgrade to LIDAR Server, our solution for hosting, viewing and delivering LIDAR data. Depicted in Figure 1 is the…
The LIDAR community has been gradually adopting the terminology “Quality Level” to categorize airborne LIDAR data. The idea is to use a simple scheme to characterize the more important features of a LIDAR data set into a few broad groups designated QLn where n is the quality level. LIDAR Quality Levels – Part 1
