GeoCue Support » LP360 » Page 4
A Case Study from Philips’ Soil Challenge We conduct a core product inventory every quarter for our bark and pumice stockpiles to keep our bookkeeping updated. Our inventory collection methods consisted of simply guessing the volume of each pile (highly inaccurate) or having our loader operator move 5 yards of product at a time (extremely…
GeoCue Group recently partnered with the National Park Service (NPS) in a pilot project to assess culturally significant areas within Gettysburg National Military Park using small unmanned aerial systems (sUAS). The area of interest (AOI) for this project was the western face of Little Round Top. Little Round Top was the location of a defensive…
A Letter from Jolynn Schmidt My final project for my LIDAR class was to extract building heights using LIDAR collected after Superstorm Sandy for the City of Newark. Using LP360, I created a Point Cloud Task workflow to classify points within a set of building footprints. My final product included a DEM of the ground…
We have added a new monochromatic display mode in LP360 as well as rearranged the hillshade options to a more logical arrangement. A monochromatic display is just what it implies – a solid, single color display of all points regardless of attributes such as class or return number. This mode of display is ideal for…
In 2016 we added a very powerful new tool to LP360 (standalone version) called Feature Analyst. This is a tabular-driven tool that synchronizes a table view of Features, Feature Parts and Vertices with their graphical representation in the Map and Profile views. This tool has improved the creation, editing and quality checking of features such…
In the last quarter of 2016, we introduced (under our AirGon brand) the Bring Your Own Drone (BYOD) Mapping Kit. This kit contains all the software one needs to turn a low-cost drone such as a Phantom 4 Pro or an Inspire 2 with x4s camera into a serious mapping platform. Our presales technical team…
LP360 includes tools to automatically extract a rail alignment (centerline) feature as a polyline as well as classify “top of rail” from LAS files derived from Laser Intensity Detection and Ranging (LIDAR) points. This feature is implemented as a semi-automated Point Cloud Task (PCT) and is available in the Advanced version of both LP360 for…
We have lot of LP360 customers with a variety of disparate feature collection and editing needs. To begin to address these needs, we introduced a completely new set of Feature Edit tools in the 2016/2017 releases of LP360 (standalone). Last month I introduced the new Feature Analyst tool that will be available in LP360 2017.1…
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…
LP360 includes a Point Cloud Task (PCT) that will automatically digitize the toe of a clean stockpile and can allow for the classification of overhead structures such as conveyors. This tool saves considerable time when computing stockpile volumetrics. A “clean” stockpile is one with a clear demarcation of the boundary from a 3D perspective that…