GeoCue’s repository of articles covering tools, tips, and workflows for processing point clouds in LP360 Geospatial.
LP360 (both LP360 for ArcGIS® and LP360 for Windows®) manages point cloud data at the file level and the Table of Contents (TOC) Layer level. You have probably noticed (if not used) the Active Layer selection tool in LP360. All commands in LP360 act on the currently selected active layer. For example, if you set…
As with any data, breaklines should undergo a QA/QC process. For breaklines this should entail a check for potential topology errors as well as incorrect elevation values. Since breaklines are used to define and control surface behavior in terms of smoothness and continuity they may have a significant effect when incorporated in a surface model.
In order to minimize the amount of effort required for performing quality control on data it is best to run macro-level quality control checks to quickly assess whether to invest the labor in micro-level quality assessments. Hillshade images can be used as part of a quick quality control analysis by providing an overview perspective on…
I often find myself running point statistics in LP360 (either LP360 for ArcGIS or the standalone LP360) using the stamp Point Cloud Task tools. This allows me to take multiple samples across the project for point density testing or classification counts. I realized that it is not obvious that you can append to a shape…
Unfortunately, much LIDAR data has been delivered in text format (American Standard Code for Information Interchange, ASCII) rather than the rich binary LAS format. Many agencies now have disk drives of LIDAR, in ASCII format, on the shelf that accompanied more familiar LIDAR-derived products such as gridded Digital Elevation Models (DEMs) and digital contour files.…
The recently published United States Geological Survey National Geospatial Program’s LIDAR Base Specification Version 1.01 specifies that the “requirements for relative accuracy within overlap between adjacent swaths of data should be less than or equal to 10 cm RMSEz”. In version 2011.1, LP360 introduced a new tool which allows for the ability to check the…
LP360 has the ability to manage very large data sets. Unlike some other LIDAR processing applications, LAS files in LP360 are visible as LIDAR content regardless of the “zoom” level. In this article, I will explain how we accomplish this and what it means in terms of interacting with LP360. When you are zoomed out…
LIDAR datasets are large and require extensive quality control and quality assurance procedures to ensure desired accuracies and product results. Statistics play an important role in evaluating LIDAR data in an efficient manner during such this QA/QC process. Statistics can be calculated for the LIDAR project dataset as a whole, for each file in the…
Did you know that you can “tune” how LP360 uses memory? This is accomplished via the Performance tab on the LAS Layer Properties dialog (Figure 1). A word of caution is in order before modifying these settings. If you are running a 32-bit version of LP360 (and, unfortunately, LP360 for ArcGIS® is forced to be…
