The rapid advancement of UAV technology has significantly enhanced forest management and environmental monitoring capabilities, providing a dynamic platform for detailed data collection and analysis. This study aims to evaluate various UAV image analysis software tools, focusing on their performance across critical criteria such as accuracy, functionality, processing speed, and user interface. Using a structured methodology that includes quantitative and qualitative assessments, each software was scored on a scale of 0 to 10 and weighted according to its practical significance. The results revealed distinct strengths and capabilities: Pix4Dmapper excelled in functionality and feature richness, DroneDeploy in user accessibility and processing speed, Agisoft Metashape in accuracy, and Correlator3D in rapid data processing. Tools like Trimble UASMaster and Global Mapper demonstrated balanced capabilities, making them suitable for diverse applications. The findings underscore the importance of selecting software based on specific project needs, highlighting the need for continuous innovation and adaptation in UAV image analysis technology to meet evolving requirements. This review provides valuable insights for organizations and individuals aiming to optimize their geospatial data collection and analysis operations.
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Levin et al. (2024) studied this question.
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