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True View 410 Hardware Users Guide
The True View 410 Hardware Users Guide covers the ins and outs of installing and operating the GeoCue True View 410 3D Imaging System (3DIS) (LIDAR/Cameras). Applies to firmware v3.0.7.1 Contents About GeoCue Group, Inc. 4 About True View® 410 5 A True View Cycle 5 True View Hardware Integration Kit (M600) 6 Installing the…
Mapping Mangroves in LP360
A Pennsylvania State University Student Project by Travis Meyer Introduction Mangroves fulfill an important niche in wetland ecology and play a significant role in modifying the global carbon budget. They harbor and provide shelter for the offspring of many species of water birds, fish, and reptiles, and sequester close to five times the amount…
The USGS 3DEP Program and Why You Should Care
The United States Geological Survey (USGS) has developed a national 3D elevation program (3DEP) as part of its National Map initiative. The National Map is a collaborative effort among the USGS and other Federal, State, and local partners to improve the publicly available topographic information for the United States. The 3DEP layer of the National…
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…
LIDAR Quality Levels – Part 1
The LIDAR community has been gradually adopting the terminology “Quality Level” to categorize airborne LIDAR data. The idea is to use a simple scheme to characterize the more important features of a LIDAR data set into a few broad groups designated QLn where n is the quality level. LIDAR Quality Levels – Part 1
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…
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…
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…
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…