Generating Low Confidence Polygons

In the new ASPRS Positional Accuracy Standards for Digital Geospatial Data, low confidence areas within LIDAR data are defined to be where the bare earth model might not meet the overall data accuracy requirements. Generally speaking with LIDAR data this can occur where there is heavy vegetation that causes poor penetration of the pulses. If…

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GeoCue Knowledge Base Ready for Use

The GeoCue Group Knowledge Base is a one stop shop for information and support for all GeoCue Group products (Figure 1). Product information is available for AirGon, GeoCue, LP360 and Terrasolid. This searchable site makes finding information easy and fast. Search for product specific workflows, installation and licensing information, case studies or investigate the Frequently…

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Case Study – Identifying Building Heights over 32 ft for the City of Franklin Fire Department

Challenge Use LIDAR data to identify building heights over 32 ft (3 stories) for the City of Franklin Fire Department to maintain a building database with elevation information. Solution The Franklin Fire Department asked if our GIS department could identify all of the buildings within the city limits that were over 32ft or 3 stories…

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The No Point option is gone! Why?

With the latest release of LP360 (2014.1) the No Points option is no longer a selection in the LIDAR Layer Draw Tools legend. A no points display is now accomplished by simply toggling the Display Legend button on or off (Figure 1). This is also the case for the 3D View, The Profile View, and…

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Bluff Profile Analysis along Lake Michigan

Challenge Much of the Lake Michigan shoreline in Wisconsin has a coastal bluff varying in height from less than 20 feet to over 140 feet. These bluffs erode in a number of ways and at varying rates (Figure 1). Over 175 profiles of these bluffs were measured and analyzed for slope stability in the mid-1970s…

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New Features in LP360 2014.1

As I looked over previous issues of GeoCue Group News, I noticed that we announced in June that we would release LP360 2014.1 in late July! Well, obviously that did not happen. I made the decision in July to postpone the release while we added tools to measure LIDAR vertical accuracy and orthophoto horizontal accuracy…

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LP360 Rail Extraction Tools for LIDAR

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…

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Case Study: Southwest Florida Water Management District

Challenge Hernando County Florida needed to create a 3-D model of the City of Brooksville and turned to the Southwest Florida Water Management District (SWFWMD) office for help in getting the estimated building heights. Solution Because of LIDAR’s 3-dimensional qualities it is the perfect data source to extract building elevation information. This point cloud characteristic…

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Automatic Building Extraction using LP360

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…

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Automatic Building Classification

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…

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