Using the Classify by Statistics Point Cloud Task in LP360

Classify by Statistics is a Point Cloud Task in LP360 that can be created by selecting the “Add Task…” option under the Point Cloud Tasks menu. Classify by statistics is primarily useful for general data thinning – especially useful for very dense data such as that derived from imagery (dense image matching, DIM, data).  For…

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Point Statistics in LP360

I often find myself running point statistics in LP360 (either LP360 for ArcGIS or LP360 for Windows) using the stamp Point Cloud Task tools. This allows me to take multiple samples across the project for point density testing or classification counts. Read more… Point Statistics in LP360

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Importance of QAQC for LIDAR Datasets

LIDAR datasets are large and require extensive quality control and quality assurance procedures to ensure desired accuracies and product results. Statistics play an important role in evaluating LIDAR data in an efficient manner during such this QA/QC process. Statistics can be calculated for the LIDAR project dataset as a whole, for each file in the…

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