We have more and more customers computing volumetrics using LP360 in combination with point cloud data sets derived from Dense Image Matching (DIM). Note that I will use DIM to mean both the process of generating a point cloud from a dense set of overlapping images as well as the product point cloud itself. Thus…
Have you ever clicked on the Display by Point Source button and only gotten a single source display when you know that there are multiple source points (usually flight lines) in your data? Remember that to display your source points you must first add them to your project by using the Symbology /Point Source tab…
There are some different two approaches that one can take to provide the desired surface from bridges for use when rectifying orthophotos. You may even wish to use a combination of the them. One method would be to comb through your dataset using the QAQC Toolbar to methodically look for bridges and then use the manual…
With the newest release of LP360 (2014.1) we added shortcut functions for the Contour and Intensity buttons. Now, to easily get to the symbology adjustments for these features you can simply click the Contour or Intensity button while holding down the Ctrl key. These two buttons are located on the LP360 Toolbar. Prior to this…
In the previous article, we briefly mentioned coordinate systems while looking at how they played a role when defining the MicroStation design cube and setting up the Terrasolid software. A brief mention was fine for that setup, but if we wish to delve into more details on transformations and changing projections in the various software…
The LP360 Rail Extraction tools for LIDAR data automatically extract a rail alignment (centerline) vector as well as classify “top of rail”. This feature is implemented as a semi-automated Point Cloud Task (PCT) and is available in the Advanced version of both LP360 for ArcGIS® and LP360 for Windows® (the standalone version of LP360). We recommend…
Last month’s tool tip discussed using the Planar Point Filter to filter buildings from point cloud data. This month’s tool tip discusses building extraction, essentially the next step after creating a building filter. The Point Group Tracing and Squaring Point Cloud Task will allow you to further refine the point cloud data classified as building…
So you have received LIDAR data and you really need to classify all those buildings in a timely fashion. The LP360 Planar Point Filter is an automatic process for classifying planar surfaces such as buildings. Located in the Point Cloud Task tab of the Table of Contents window of LP360, you can quickly set up…
In LP360 we define Cut as the positive volume and Fill as the negative volume. Thus, if you had a pile and drew a polygon around its base, the volume would be considered Cut. Conversely, a polygon around a hole in the ground would result in a volume labeled Fill. We have found this definition…
As we outlined in a previous “LP360 – Under the Hood”, we have added volumetric analysis to LP360. This feature was first released with 2013.2 at the end of last year with an enhanced version in our recent Experimental (EXP) release. An important element of the analysis associated with volumes is the generation of cross-sections.…