Ground targets for horizontal check for LIDAR data collection

An important evaluation to make when performing a QAQC analysis of a LIDAR data set is a control point comparison. Typically, this refers to checking the vertical accuracy of a LIDAR data set. In regards to vertical check/control point location: “Unlike horizontal checkpoints, vertical checkpoints are not necessarily required to be clearly defined or readily…

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Spatial Density Distribution

Quality control and quality assurance checks for LIDAR data continue to evolve as the industry identifies new ways to help ensure that data collections meet desired usage requirements. The U.S. Geological Survey (USGS) LIDAR Base Specification introduced a definition for spatial density distribution and regularity within LIDAR data. The requirement is that the spatial distribution…

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Testing the LP360 Volumetric Analysis Tool

In previous articles of GeoCue News we covered how the Volumetric Analysis Tool within LP360 works, and how it can be used within a project, LP360 Under the Hood: Volumetric Analysis and Volumetrics – Do it Right!, respectively. We’re often asked how accurate or reliable the volumetric results can be expected to be. In this…

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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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