BEST PRACTICE FOR MAPPING PRODUCTION FROM UAV IMAGERY

Research Title : BEST PRACTICE FOR MAPPING PRODUCTION FROM UAV IMAGERY

Co-Researchers : Dr. Weerachai Wongweeranimit and Mr. Theeraruk Maneenart

The study examines UAV imagery processing using a DJI Matrice 300 equipped with a 45-megapixel Zenmuse P1 camera. The test area covers 1.4 square kilometers with 14 Ground Control Points (GCPs). The imagery is processed using PIX4Dmapper and Agisoft Metashape.

The research presents a two-stage quality control approach, QC-1 and QC-2, focusing on the positional accuracy of ground control points, camera models, and aerial imagery. It also addresses Bundle Block Adjustment (BBA) to improve the reliability of mapping outputs. In addition, the study provides guidelines for generating Digital Elevation Models (DEM), considering point resolution and data storage formats to suit different applications.