The Accuracy Triangle – The Photogrammetric Triad

We get a lot of questions regarding accuracy in drone mapping projects.  These questions range from ground control layout suggestions to the necessity of calibration cameras.  Sometimes it is useful to step back a bit and take a wholistic view of the elements that impact photogrammetric accuracy.   The information in this article is meant…

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Automatic Ground Classification of Dense Point Clouds in LP360

The density of point clouds (usually expressed as points per square meter) is increasing on what seems to be a monthly basis.  This is particularly true of point clouds derived from Dense Image Matching (DIM), the clouds produced from software such as PhotoScan, Pix4D, DroneDeploy and so forth. You can quickly check the density of…

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Case Study – Fixing Time Consuming Inventory Collection

A Case Study from Philips’ Soil Challenge We conduct a core product inventory every quarter for our bark and pumice stockpiles to keep our bookkeeping updated. Our inventory collection methods consisted of simply guessing the volume of each pile (highly inaccurate) or having our loader operator move 5 yards of product at a time (extremely…

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