1. Introduction LP360 Cloud Ground Classification is a module available in LP360 Cloud, starting in 2024, and can be used to automatically classify the ground for data on the cloud. In this article we’ll explain step by step how to use the LP360 Cloud Ground Classification module. Refer to the LP360 Cloud Ground Classification –…
The TrueView Web User Interface provides a user interface (UI) of the TrueView payload through any standard web browser. With this interface the user can monitor the system operation, readiness for data collection, and change settings. It also helps with troubleshooting by providing additional information about errors and issues. For installation and operation of your…
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…
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 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…
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…
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
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…
