72 articles AirGon Tools, Tips and Workflows

Classify by Feature as a Surface

One use of the Classify by Feature functionality is that you can apply a buffer to the feature and reclassify the points that fall within the XY buffer.  If you use the feature as a surface instead then it activates the buffer in the Z axis, instead of the XY. When your input shape is 3D…

A Comparison of Volumetric Workflows – LP360, PhotoScan and Pix4D

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 2017.1 Feature Matrix

LP360 is a family of point cloud exploitation tools for both native Windows (“standalone”) and the ArcGIS® desktop platform. LP360 for ArcGIS is the world’s most popular point cloud (such as LIDAR and dense image matching) visualization, editing and information extraction tool set for ArcGIS®. It is available directly from GeoCue Group Inc.1 (www.geocue.com) and…

ASCII Raster Files (*.asc)

As taken from the ArcView™ 3.2 Help System The ASCII Raster File format is a simple format that can be used to transfer raster data between various applications. It is basically a few lines of header data followed by lists of cell values. The header data includes the following keywords and values: ncols – number…

Binary Raster Files (*.flt)

As taken from the ArcView™ 3.2 Help System The Binary Raster File format is a simple format that can be used to transfer raster data between various applications. It consists of two files, the IEEE floating-point file and a supporting ASCII header file. The header file must have the same name as the data file,…

Add Raster Files to LP360

In the standalone version of LP360 one may add raster files using the ‘Raster Tab’ of the ‘Add Files’ dialog. Then navigate to the desired Raster file(s). The following are the currently supported raster file formats: TIF (*.tif) JPEG (*.jpg) PNG (*.png) GIF (*.gif) BMP (*.bmp) MrSID (*.sid) JP2000 (*.jp2) ECW (*.ecw) IMG (*img) Binary…

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…

Point Cloud Tasks

Point Cloud Tasks What is a Point Cloud Task (PCT)? A function (Extract ground, Conflate Line) that operates on points and/or vectors. A task can be a filter and/or an extractor. A filter classifies or changes the classification values for points (e.g. classify ground). An extractor extracts information from the point cloud data into vector,…

A Framework for Control Strategies

We do a significant amount of Research and Development (R&D) in drone mapping.  Our AV-900 rotary wing system has an L1/L2 Global Navigation Satellite System (GNSS) that we run in the Post-Processed Kinematic mode.  This gives us the location of the AV-900 Survey System antenna to within a few centimeters relative to a local base…

Geometry not within read/write loaded point extent (10075)

Problem: Receive either a “Classify is Complete” or a “ClassifyByGeometry function fails” with an overall message, or by feature messaging, indicating “Geometry not within read/write loaded point extent (10075)”. Probable Resolution: The warning message indicates that the LAS files intersecting with the indicated feature are not open for read/write, hence, no classification based on that…