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The Comparison of Structure from Motion Modelling Derived from Aerial Photogrammetric and Light Distancing and Ranging Sensing

Authors: Everett Spackman*, California State Polytechnic University
Topics: Spatial Analysis & Modeling, UAS / UAV, Quantitative Methods
Keywords: Structure from Motion, UAV, Photogrammetry, LiDAR
Session Type: Poster
Presentation File: No File Uploaded

The objective of this study was to analyze the efficacy of Structure from Motion (SfM) modelling, utilizing aerial based photogrammetry and Light Distancing and Ranging (LiDAR) systems. To test this, Digital Elevation Models (DEM) were created, and elevation data was analyzed for difference in elevation. The selected areas of study were located in the San Luis Obispo Wildlife Area and the Cal Poly Architecture Graveyard. Photogrammetric data was collected via DJI Mavic Pro and Mavic 2 Pro, and SfM modelling performed in Pix4dmapper. LiDAR data was obtained from several PG&E flights sourced on OpenTopography and a County of San Luis Obispo LiDAR flight. DEMs comparisons were completed within the Esri ArcGIS Pro. Within the Pro environment, a baseline difference between LiDAR and photogrammetry DEM was established, and both the average difference and standard deviation were calculated. After analysis, it was found that the DEMs created from photogrammetric SfM contained significant discrepancy from the LiDAR based DEM. However, aerial based photogrammetric remain an effective method of SfM modeling, providing reasonably accurate elevation models while remaining cost effective.

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