Evaluation of UAV Accuracy for Mapping Based on Ground Control Point Patterns at Thung Pak Kor Detention Area Project, Suratthani Province
Abstract
This research aimed to determine appropriate distribution pattern of ground control points affected on the geospatial positioning accuracy for mapping by UAV photogrammetry. Thung Pak Kor Detention Area Project, Suratchthani Province was selected as the study area which covered an area of approximately 0.6 km2. It started with the data collection of aerial imagery data from UAV photogrammetry with 80% overlap and 60% side lap of the aerial imagery, and 41 ground data collection points divided into 24 ground control points and 17 accuracy check points. Aerial imagery was then processed using six distribution patterns of ground control points consisting of edge distribution, grid distribution, x-distribution, circle distribution, random distribution, and group distribution. Each pattern uses 8 ground control points to determine the geospatial positional accuracy and appropriate distribution patterns for the study area. The results showed that the x-distribution pattern provides the best horizontal and vertical accuracy with an RMSEr of 0.135 m and an RMSEz of 0.116 m, respectively. It has a horizontal reliability of 0.234 percent, a vertical reliability of 0.227 percent, and it can produce maps with a scale of 1:400.
Keywords : aerial photograph ; ground control point ; RMSE ; geospatial positioning accuracy ;
digital surface model
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