Abstract
AbstractThe integration of small, unmanned aircraft systems (sUAS) and structure from motion (SFM) provides a simple, cost-effective, and unique opportunity to map detailed land features in a much finer (up to cm-level) resolution. Software packages are available to process sUAS-collected photos into three-dimensional (3D) point clouds, digital surface models, and orthomosaics. However, the differences between the products generated by various software packages are seldom addressed. In this chapter, we compared the 3D point cloud reconstruction of various natural and man-made land features, including trees/forest, grassland, roads, parking lots, and buildings, using five software packages: Pix4DMapper, Pix4D Cloud, Metashape (previously Photoscan), GlobalMapper, and OpenDroneMap. We demonstrated this work based on the sUAS-collected data from three sites in Missouri, Tennessee, and Florida.KeywordsStructure from motionUnmanned aircraft systemsPoint cloudLand features
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