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In a change from our usual format, we have created a series of webcasts exploring various aspects of the use of LiDAR data in Global Mapper and the accompanying LiDAR Module. Beginning with an introduction to the structure and characteristics of LiDAR data, each video covers a specific theme or topic.
To access each of the videos in the series, click the dropdown list button in the upper left corner of the adjacent video player.
The topics covered in each webcast are as follows:
In this presentation, we will demonstrate the process of importing LiDAR data including some of the initial filtering options. We will explore the point cloud's attribute structure and introduce the metadata, which provides access to detailed information about the point cloud including the coverage area, point density, and classifications.
This optional add-on to Global Mapper provides an array of advanced point cloud processing tools. In the second in the LiDAR webcast series, we will show how to activate a trial of the module and introduce some of the key functions that it enables. We will explore several LiDAR visualization options including thematic point cloud display, cross-sectional viewing, and 3D rendering.
The third video in the series will investigate several tools for manually editing and filtering LiDAR data. We will show how to crop the extent a point cloud to a specific geographic area, we will use the software's Search tool to isolate points that meet specific criteria, we will show how to filter by classification, intensity, and numerous other variables, and we will demonstrate how to manually change the classification for selected points.
In the fourth webcast in the series, we show the procedure for improving the usability of LiDAR by identifying points that represent specific surface types. Foremost in this automatic reclassification process is the detection of ground points in unclassified data, which is a prerequisite for creating a DTM. We will also walk through the process of identifying and reclassifying buildings, trees, and powerlines based on their geometric properties.
Following on from the reclassification theme in the previous video, in the fifth video presentation, we will show how to automatically generate vector features from classified points. We will show the process of extracting buildings as 3D polygons, trees as 3D points, and powerlines as 3D lines, and we will visualize each of these in Global Mapper's 3D View.
In the sixth webcast in the series, we will use the Perpendicular Profile tool to create 3D line and polygon features by tracing recognizable geometric patterns in the point cloud. In the first example, we will accurately delineate the edge of a curb using high-density terrestrial point cloud data. We will then use lower density aerial LiDAR data to create the two sections of pitched roof.
For many users of LiDAR data, terrain generation is the most important workflow. In the seventh webcast, we will demonstrate the procedure for transforming array of vector points into a raster surface model. We will look at the various options that are available including simple triangulation as well as binning for creating a more precise Digital Terrain or Digital Surface Model. We will also introduce some of Global Mapper's terrain visualization tools including shader options, 3D viewing, and profiling.
In the eighth and final webcast in the LiDAR series, we will demonstrate several options for sharing point cloud data from Global Mapper. We will show how to capture a static 3D view of the point cloud and how to create and record a 3D fly-through video. We will show the options for exporting edited LiDAR in the standard LAS and LAZ formats and will walk through the steps for creating a 3D PDF, which can be displayed in Adobe Acrobat Reader.